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integrated framework for home healthcare delivery
Title
An integrated framework for home healthcare delivery.
Creator
Conaster, Mark., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
With the increasing demands of rising medical costs in combination with a boom in elderly patients in need of quality patient care medical practices are being stressed. Patient to nurse ratios are increasing and government spending in the medical domain is at an all-time high threatening the futures of government medical programs such as Medicare and Medicaid. In this thesis we propose a framework for the monitoring of a patient's vital statistics in a home-based setting using a mobile smart...
Show moreWith the increasing demands of rising medical costs in combination with a boom in elderly patients in need of quality patient care medical practices are being stressed. Patient to nurse ratios are increasing and government spending in the medical domain is at an all-time high threatening the futures of government medical programs such as Medicare and Medicaid. In this thesis we propose a framework for the monitoring of a patient's vital statistics in a home-based setting using a mobile smart device. We believe that in taking advantage of the wireless sensor technology which is readily available today we can provide a solution that is both economically and socially viable offering a solid quality of healthcare in a comfortable and familiar environment. Our framework exposes both 802.11 and Bluetooth wireless protocol transmitting medical sensor devices using an Android platform device as a monitoring hub.
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Date Issued
2011
PURL
http://purl.flvc.org/FAU/3174510
Subject Headings
Home care services, Technological innovations, Telecommunication in medicine, Internet in medicine, Medical informatics, Medical telematics
Format
Document (PDF)
Risk-evaluation in clinical diagnostic studies
Title
Risk-evaluation in clinical diagnostic studies: ascertaining statistical bounds via logistic regression of medical informatics data.
Creator
Dupont, Alice Norm., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
The efforts addressed in this thesis refer to applying nonlinear risk predictive techniques based on logistic regression to medical diagnostic test data. This study is motivated and pursued to address the following: 1. To extend logistic regression model of biostatistics to medical informatics 2. Computational preemptive and predictive testing to determine the probability of occurrence (p) of an event by fitting a data set to a (logit function) logistic curve: Finding upper and lower bounds...
Show moreThe efforts addressed in this thesis refer to applying nonlinear risk predictive techniques based on logistic regression to medical diagnostic test data. This study is motivated and pursued to address the following: 1. To extend logistic regression model of biostatistics to medical informatics 2. Computational preemptive and predictive testing to determine the probability of occurrence (p) of an event by fitting a data set to a (logit function) logistic curve: Finding upper and lower bounds on p based on stochastical considerations 3. Using the model developed on available (clinical) data to illustrate the bounds-limited performance of the prediction. Relevant analytical methods, computational efforts and simulated results are presented. Using the results compiled, the risk evaluation in medical diagnostics is discussed with real-world examples. Conclusions are enumerated and inferences are made with directions for future studies.
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Date Issued
2011
PURL
http://purl.flvc.org/FAU/3332187
Subject Headings
Medical informatics, Clinical medicine, Decision making, Data processing, Medical protocols, Medicine, Research, Statistical methods
Format
Document (PDF)
Personal health record system and integration techniques with various electronic medical record systems
Title
Personal health record system and integration techniques with various electronic medical record systems.
Creator
Ved, Vishesh., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
In order to improve the quality of care, there is urgent need to involve patients in their own healthcare. So to make patient centered health care system Personal Health Records are proposed as viable solution. This research discusses the importance of a Patient Centric Health Record system. Such systems can empower patients to participate in improving health care quality. It would also provide an economically viable solution to the need for better healthcare without escalating costs by...
Show moreIn order to improve the quality of care, there is urgent need to involve patients in their own healthcare. So to make patient centered health care system Personal Health Records are proposed as viable solution. This research discusses the importance of a Patient Centric Health Record system. Such systems can empower patients to participate in improving health care quality. It would also provide an economically viable solution to the need for better healthcare without escalating costs by avoiding duplication. The proposed system is Web-based; therefore it has high accessibility and availability. The cloud computing based architecture is used which will allow consumers to address the challenge of sharing medical data. PHR would provide a complete and accurate summary of the health and medical history of an individual by gathering data from many sources. This would make information accessible online to anyone who has the necessary electronic credentials to view the information.
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Date Issued
2010
PURL
http://purl.flvc.org/FAU/1930491
Subject Headings
Medical records, Data processing, Management, Medical informatics, Information storage and retrieval systems, Medical care, Medical care, Quality control, Personal information management
Format
Document (PDF)
intelligent data repository
Title
An intelligent data repository.
Creator
Dave, Trupti., Florida Atlantic University, Pandya, Abhijit S.
Abstract/Description
In this thesis, importance of Intelligent Data Repository (IDR) and its real life applications are studied. We proposed an IDR for oncology applications which can handle large datasets and which can be used on both the intranet and the Internet. It is designed to provide one or multiple medical institutions on a global scale a common platform for patient care and consultation. The proposed application consists of two key models, Body Surface Area model and Search model, which are described in...
Show moreIn this thesis, importance of Intelligent Data Repository (IDR) and its real life applications are studied. We proposed an IDR for oncology applications which can handle large datasets and which can be used on both the intranet and the Internet. It is designed to provide one or multiple medical institutions on a global scale a common platform for patient care and consultation. The proposed application consists of two key models, Body Surface Area model and Search model, which are described in detail and their results are discussed. We have implemented the proposed IDR for oncology application using ColdFusion MX. Existing research in this area have been studied and compared. Framework of the proposed IDR, structure, front-end user interface and back-end database schema of the proposed oncology application are explained in this thesis.
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Date Issued
2004
PURL
http://purl.flvc.org/fcla/dt/13187
Subject Headings
Database design, Medicine--Computer network resources, Medical telematics, Medical informatics, ColdFusion, Oncology--Computer network resources
Format
Document (PDF)
Gene selection for sample sets with biased distribution
Title
Gene selection for sample sets with biased distribution.
Creator
Kamal, Abu Hena Mustafa., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Microarray expression data which contains the expression levels of a large number of simultaneously observed genes have been used in many scientific research and clinical studies. Due to its high dimensionalities, selecting a small number of genes has shown to be beneficial for many tasks such as building prediction models from the microarray expression data or gene regulatory network discovery. Traditional gene selection methods, however, fail to take the class distribution into the...
Show moreMicroarray expression data which contains the expression levels of a large number of simultaneously observed genes have been used in many scientific research and clinical studies. Due to its high dimensionalities, selecting a small number of genes has shown to be beneficial for many tasks such as building prediction models from the microarray expression data or gene regulatory network discovery. Traditional gene selection methods, however, fail to take the class distribution into the selection process. In biomedical science, it is very common to have microarray expression data which is severely biased with one class of examples (e.g., diseased samples) significantly less than other classes (e.g., normal samples). These sample sets with biased distributions require special attention from researchers for identification of genes responsible for a particular disease. In this thesis, we propose three filtering techniques, Higher Weight ReliefF, ReliefF with Differential Minority Repeat and ReliefF with Balanced Minority Repeat to identify genes responsible for fatal diseases from biased microarray expression data. Our solutions are evaluated on five well-known microarray datasets, Colon, Central Nervous System, DLBCL Tumor, Lymphoma and ECML Pancreas. Experimental comparisons with the traditional ReliefF filtering method demonstrate the effectiveness of the proposed methods in selecting informative genes from microarray expression data with biased sample distributions.
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Date Issued
2009
PURL
http://purl.flvc.org/FAU/186330
Subject Headings
Gene expression, Research, Methodology, Medical informatics, Apoptosis, Molecular aspects, DNA microarrays, Research
Format
Document (PDF)
Predictive modeling for chronic conditions
Title
Predictive modeling for chronic conditions.
Creator
Jain, Ritesh, Agarwal, Ankur, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Chronic Diseases are the major cause of mortality around the world, accounting for 7 out of 10 deaths each year in the United States. Because of its adverse effect on the quality of life, it has become a major problem globally. Health care costs involved in managing these diseases are also very high. In this thesis, we will focus on two major chronic diseases Asthma and Diabetes, which are among the leading causes of mortality around the globe. It involves design and development of a...
Show moreChronic Diseases are the major cause of mortality around the world, accounting for 7 out of 10 deaths each year in the United States. Because of its adverse effect on the quality of life, it has become a major problem globally. Health care costs involved in managing these diseases are also very high. In this thesis, we will focus on two major chronic diseases Asthma and Diabetes, which are among the leading causes of mortality around the globe. It involves design and development of a predictive analytics based decision support system which uses five supervised machine learning algorithm to predict the occurrence of Asthma and Diabetes. This system helps in controlling the disease well in advance by selecting its best indicators and providing necessary feedback.
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Date Issued
2015
PURL
http://purl.flvc.org/fau/fd/FA00004382, http://purl.flvc.org/fau/fd/FA00004382
Subject Headings
Biomedical engineering, Chronic diseases -- United States -- Prevention, Cloud computing, Medical informatics, Medicine, Preventive, Primary care (Medicine)
Format
Document (PDF)
Understanding in healthcare professional involvement in patient internet use
Title
Understanding in healthcare professional involvement in patient internet use.
Creator
Morton, Neil., College of Business, Information Technology and Operations Management
Abstract/Description
Use of the Internet can increase patients' understanding about their medical conditions and offers opportunities to strengthen the patient-physician relationship, increase patient satisfaction, and improve health outcomes. However, physicians vary widely in the extent to which they accept patient online medical information seeking and make it part of the patient-physician relationship. This paper explores factors impacting the extent to which physicians advocate (encourage, speak in favor, or...
Show moreUse of the Internet can increase patients' understanding about their medical conditions and offers opportunities to strengthen the patient-physician relationship, increase patient satisfaction, and improve health outcomes. However, physicians vary widely in the extent to which they accept patient online medical information seeking and make it part of the patient-physician relationship. This paper explores factors impacting the extent to which physicians advocate (encourage, speak in favor, or are supportive of) patient internet use. Specifically, using social cognitive theory as a theoretical base, this study develops a model of the determinants of physician advocation of patient use of the internet for information about medical conditions and treatments. Survey data collected from a random sample of 179 physicians licensed to practice medicine in Florida is used to test the proposed model. Proxy efficacy for patient internet use, social efficacy for enlisting patient internet use, performance outcomes expectations, and personal outcome expectations are shown to be significant determinants of physician professional advocation of patient internet use. In addition to its direct impact, proxy efficacy is shown to influence intention to advocate patient internet use indirectly thru social efficacy and outcome expectations, demonstrating the key role of this construct in the proxy agency model. Self-efficacy, in contrast, is not found to be a significant factor. Overall, the results support the proposed model of technology use.
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Date Issued
2009
PURL
http://purl.flvc.org/FAU/215294
Subject Headings
Communication in medicine, Physician and patient, Medical informatics, Health in mass media, Evidence-based medicine
Format
Document (PDF)
Bioinformatics mining of the dark matter proteome for cancer targets discovery
Title
Bioinformatics mining of the dark matter proteome for cancer targets discovery.
Creator
Delgado, Ana Paula, Narayanan, Ramaswamy, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Biological Sciences
Abstract/Description
Mining the human genome for therapeutic target(s) discovery promises novel outcome. Over half of the proteins in the human genome however, remain uncharacterized. These proteins offer a potential for new target(s) discovery for diverse diseases. Additional targets for cancer diagnosis and therapy are urgently needed to help move away from the cytotoxic era to a targeted therapy approach. Bioinformatics and proteomics approaches can be used to characterize novel sequences in the genome...
Show moreMining the human genome for therapeutic target(s) discovery promises novel outcome. Over half of the proteins in the human genome however, remain uncharacterized. These proteins offer a potential for new target(s) discovery for diverse diseases. Additional targets for cancer diagnosis and therapy are urgently needed to help move away from the cytotoxic era to a targeted therapy approach. Bioinformatics and proteomics approaches can be used to characterize novel sequences in the genome database to infer putative function. The hypothesis that the amino acid motifs and proteins domains of the uncharacterized proteins can be used as a starting point to predict putative function of these proteins provided the framework for the research discussed in this dissertation.
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Date Issued
2015
PURL
http://purl.flvc.org/fau/fd/FA00004361, http://purl.flvc.org/fau/fd/FA00004361
Subject Headings
Bioinformatics, Cancer -- Genetic aspects, Drug development -- Data processing, Genomics, Medical informatics, Proteomes -- Data processing, Tumors -- Immunological aspects
Format
Document (PDF)
Adaptive energy-aware real-time detection models for cardiac atrial fibrillation
Title
Adaptive energy-aware real-time detection models for cardiac atrial fibrillation.
Creator
Bouhenguel, Redjem., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Though several clinical monitoring ways exist and have been applied to detect cardiac atril fibrillation (A-Fib) and other arrhythmia, these medical interventions and the ensuing clinical treatments are after the fact and costly. Current portable healthcare monitoring systems come in the form of Ambulatory Event Monitors. They are small, battery-operated electrocardiograph devices used to record the heart's rhythm and activity. However, they are not energy-aware ; they are not personalized ;...
Show moreThough several clinical monitoring ways exist and have been applied to detect cardiac atril fibrillation (A-Fib) and other arrhythmia, these medical interventions and the ensuing clinical treatments are after the fact and costly. Current portable healthcare monitoring systems come in the form of Ambulatory Event Monitors. They are small, battery-operated electrocardiograph devices used to record the heart's rhythm and activity. However, they are not energy-aware ; they are not personalized ; they require long battery life, and ultimately fall short on delivering real-time continuous detection of arrhythmia and specifically progressive development of cardiac A-Fib. The focus of this dissertation is the design of a class of adaptive and efficient energy-aware real-time detection models for monitoring, early real-time detection and reporting of progressive development of cardiac A-Fib.... The design promises to have a greater positive public health impact from predicting A-Fib and providing a viable approach to meeting the energy needs of current and future real-time monitoring, detecting and reporting required in wearable computing healthcare applications that are constrained by scarce energy resources.
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Date Issued
2012
PURL
http://purl.flvc.org/FAU/3358332
Subject Headings
Medical informatics, Medicine, Data processing, Imaging systems in medicine, Design and construction, Cardiovascular system, Diseases, Diagnosis, Bioinformatics
Format
Document (PDF)
web-based automated classification system for nursing language based on nursing theory
Title
A web-based automated classification system for nursing language based on nursing theory.
Creator
Dass, Subhomoy D., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Health care systems consist of various individuals and organizations that aim to meet the health care needs of people and provide a complete and responsive health care solution. One of the important aspects of a health care delivery system is nursing. The use of technology is a vital aspect for delivering an optimum and complete nursing care to individuals; and also for improving the quality and delivery mechanism of nursing care. The model proposed in this thesis for Nursing Knowledge...
Show moreHealth care systems consist of various individuals and organizations that aim to meet the health care needs of people and provide a complete and responsive health care solution. One of the important aspects of a health care delivery system is nursing. The use of technology is a vital aspect for delivering an optimum and complete nursing care to individuals; and also for improving the quality and delivery mechanism of nursing care. The model proposed in this thesis for Nursing Knowledge Management System is a novel knowledge-based decision support system for nurses to capture and manage nursing practice, and further, to monitor nursing care quality, as well as to test aspects of an electronic health record for recording and reporting nursing practice. As a part of a collaborative research of the Christine E. Lynn College of Nursing and the Department of Computer Science, a prototype toolset was developed to capture and manage nursing practice in order to improve the quality of care. This thesis focuses on implementing a web based SOA solution for Automated Classification of Nursing Care Categories, based on the knowledge gained from the prototype for nursing care practice.
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Date Issued
2011
PURL
http://purl.flvc.org/FAU/3332184
Subject Headings
Nursing, Quality control, Outcome asssessment (Medical care), Nursing assessment, Digital techiques, Nursing, Computer-assisted instruction, Nursing informatics
Format
Document (PDF)
The Single Minded 2 Gene (SIM2) and Cancer: Harnessing Micro-Array Data to Facilitate Pathway Discovery and Validation
Title
The Single Minded 2 Gene (SIM2) and Cancer: Harnessing Micro-Array Data to Facilitate Pathway Discovery and Validation.
Creator
Aleman, Mireille J., Narayanan, Ramaswamy, Florida Atlantic University
Abstract/Description
A Down's Syndrome related Single Minded 2 gene (SIM2), previously known to be associated with Trisomy 21 was predicted by bioinformatics to be colon cancer specific. In previous work from the laboratory using a patient tissue repository, an isoform of this gene, short form (SIM2-s) was shown to be colon cancer specific. Inhibition of SIM2-s expression by antisense technology resulted in cancer-cell specific apoptosis within 24 hours. Microarray-based gene expression profiling of the antisense...
Show moreA Down's Syndrome related Single Minded 2 gene (SIM2), previously known to be associated with Trisomy 21 was predicted by bioinformatics to be colon cancer specific. In previous work from the laboratory using a patient tissue repository, an isoform of this gene, short form (SIM2-s) was shown to be colon cancer specific. Inhibition of SIM2-s expression by antisense technology resulted in cancer-cell specific apoptosis within 24 hours. Microarray-based gene expression profiling of the antisense-treated colon cancer cells provided a fingerprint of genes involving key cell cycle, apoptosis, DNA damage and differentiation genes. Taking hints from the microarray database, experiments were initiated to decipher the molecular mechanism underlying the cancer specific function of the SIM2-s gene. Using an isogenic cell system, apoptosis was found to be dependent on DNA damage and repair gene, GADD45-a. Further, key pathways including p38 MAP kinase (MAPK) and specific caspases were essential for apoptosis. Programmed cell death was not dependant on cell cycle and was preceded by the induction of terminal differentiation. To clarify whether SIM2-s function is a critical determinant of differentiation, stable transfectants of SIM2-s were established in a murine adipocytic cell line (3T3-L 1 ). SIM2-s overexpression caused a pronounced block of differentiation of the pre-adipocytes into mature adipocytes. A study of the differentiation pathway in 3T3-L 1 cells suggested that this block occurs early on in the cascade. These results supported the starting premise that SIM2-s is a critical mediator of cell differentiation. To clarify whether the SIM2-s gene has transforming potential, the SIM2-s gene was overexpressed in the NIH3T3 murine fibroblast cell line. The cells expressing the human SIM2-s gene exhibited shorter doubling time, abrogation of growth serum requirement, greater cell number at saturation density and focus formation. In vivo tumorigenicity assays showed tumor formation with long latency. These results provide strong evidence for the role of SIM2-s gene in tumor cell growth and differentiation, and validate drug therapy use for the gene.
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Date Issued
2007
PURL
http://purl.flvc.org/fau/fd/FA00000845
Subject Headings
Cancer--Genetic aspects, DNA microarrays--Diagnostic use, Apoptosis--Molecular aspects, Medical informatics, Gene expression--Research--Methodology
Format
Document (PDF)
Molecular pathway identification using microarray technology
Title
Molecular pathway identification using microarray technology.
Creator
Tress, Matthew David., Florida Atlantic University, Narayanan, Ramaswamy
Abstract/Description
Harnessing the human genome using bioinformatics lead to the discovery of a highly cancer-selective gene, Single Minded 2 gene (SIM2). An isoform of the SIM2 gene, the short-form (SIM2-s), was shown to be specific to colon, pancreas, and prostate tumors. Antisense inhibition of SIM2-s in a colon carcinoma derived cell line (RKO) caused inhibition of gene expression, growth inhibition and apoptosis in vitro and in nude mice tumorigenicity models. To understand the mechanism of Sim2-s antisense...
Show moreHarnessing the human genome using bioinformatics lead to the discovery of a highly cancer-selective gene, Single Minded 2 gene (SIM2). An isoform of the SIM2 gene, the short-form (SIM2-s), was shown to be specific to colon, pancreas, and prostate tumors. Antisense inhibition of SIM2-s in a colon carcinoma derived cell line (RKO) caused inhibition of gene expression, growth inhibition and apoptosis in vitro and in nude mice tumorigenicity models. To understand the mechanism of Sim2-s antisense, the antisense treated RKO colon cancer cells were monitored for genome wide expression using Affymetrix GeneChipRTM technology. A list of apoptosis related genes was generated using GeneSpringRTM software. Select GeneChip RTM output was validated by Quantitative RT-PCR. Relevance of a key gene, Growth arrest and DNA damage inducible (GADD45a), in the SIM2-s pathway was established. These results will provide a basis for the future experiments to understand the mechanism underlying Sim2-s activation in specific tumors.
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Date Issued
2004
PURL
http://purl.flvc.org/fcla/dt/13146
Subject Headings
Medical informatics, DNA microarrays--Diagnostic use, Cancer--Genetic aspects, Apoptosis--Molecular aspects, Human genetics--Variation, Gene expression--Research--Methodology
Format
Document (PDF)
patient-centric hurricane evacuation management system
Title
A patient-centric hurricane evacuation management system.
Creator
Ambrose, Arny Isonja, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
The use of wireless sensor networks for a myriad of applications is increasing. They can be used in healthcare for emergency management. In Florida, hurricanes are the main source of natural disasters. There has been a high incidence of hurricanes over the past decade. When a hurricane warning is issued it is important that people who live in potentially dangerous areas, such as along the coast, evacuate for their safety. Nursing homes and other care facilities for elderly or disabled people...
Show moreThe use of wireless sensor networks for a myriad of applications is increasing. They can be used in healthcare for emergency management. In Florida, hurricanes are the main source of natural disasters. There has been a high incidence of hurricanes over the past decade. When a hurricane warning is issued it is important that people who live in potentially dangerous areas, such as along the coast, evacuate for their safety. Nursing homes and other care facilities for elderly or disabled people experience difficulty with the evacuation as their residents require additional assistance. The characteristics and challenges of a hurricane evacuation are investigated. A patient-centric hurricane evacuation management system is proposed to allow healthcare providers the ability to continuously monitor and track patients. During a hurricane there are usually scarce energy resources and a loss of basic communication services such as cellular service and Internet access. We propose the architecture of the system that allows it to operate in the absence of these services. The hardware and software architectures are also presented along with the main phases of operation. The system was then validated and the performance evaluated via simulation using the OPNET Modeler.
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Date Issued
2011
PURL
http://purl.flvc.org/FAU/3329832
Subject Headings
Emergency management, Planning, Evacuation of civilians, Planning, Emergency medical services, Planning, Disaster medicine, Planning, Medical informatics, Wireless communication systems, Internet in medicine, Telecommunication in medicine
Format
Document (PDF)
Modeling access control of medical information
Title
Modeling access control of medical information.
Creator
Sorgente, Tami W., Florida Atlantic University, Fernandez, Eduardo B., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Medical information is very private and sensitive. With the digitization of medical data, it is becoming accessible through distributed systems, including the Internet. Access to all this information and appropriate exchange of data makes the job of health providers more effective, however, the number of people that can potentially access this information increases by orders of magnitude. Private health information is not well protected. We present guidelines for security models for medical...
Show moreMedical information is very private and sensitive. With the digitization of medical data, it is becoming accessible through distributed systems, including the Internet. Access to all this information and appropriate exchange of data makes the job of health providers more effective, however, the number of people that can potentially access this information increases by orders of magnitude. Private health information is not well protected. We present guidelines for security models for medical information systems. First, we model the structure of the medical information in the form of object-oriented patterns. Second, we study models and patterns in use today and compare them to our patterns. Next we define requirements necessary for controlling access, and describe the common policies and restrictions of security models for medical applications. We present some of the medical record access control restrictions directly in a conceptual model of the medical information.
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Date Issued
2004
PURL
http://purl.flvc.org/fcla/dt/13163
Subject Headings
Medical records--Access control, Privacy, Right of, Freedom of information, Medical records--Data processing, Medicine--Research--Moral and ethical aspects, Confidential communications, Medical ethics, Information storage and retrieval systems--Medical care, Medical informatics, Computer security, Medicine--Computer networks
Format
Document (PDF)