Current Search: Medicine, Preventive (x)
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(1 - 7 of 7)
- 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.
Show less - 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)
- Title
- Adult Learners’ Preferred Methods of Learning Preventative Heart Disease Care.
- Creator
- Alavi, Nasim, Bryan, Valerie, Florida Atlantic University, College of Education, Department of Educational Leadership and Research Methodology
- Abstract/Description
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The purpose of this study was to investigate the preferred method of learning about heart disease by adult learners. This research study also investigated if there was a statistically significant difference between race/ethnicity, age, and gender of adult learners and their preferred method of learning preventative heart disease care. This research study further explored the effectiveness of adult education on reducing or preventing serious, life-threatening heart disease, including heart...
Show moreThe purpose of this study was to investigate the preferred method of learning about heart disease by adult learners. This research study also investigated if there was a statistically significant difference between race/ethnicity, age, and gender of adult learners and their preferred method of learning preventative heart disease care. This research study further explored the effectiveness of adult education on reducing or preventing serious, life-threatening heart disease, including heart attack. This research is of significant importance as the adult population and age in many developed countries is increasing. It was anticipated that the study would unearth the effectiveness of various educational methods of providing information to adult learners to inform them how to prevent heart attacks. For this quantitative investigation, participants were limited to students enrolled in at least one college course (three credit hours) at the Florida Atlantic University Boca Raton campus who were 25 years of age or older. During the course of this study, three methods of learning; formal, informal, and non-formal, as well as two delivery methods; online and traditional, were evaluated. Over one third of the study’s participants (35%) preferred to receive healthrelated information via email (35%). This major finding was statistically significant (x² (6) = 82.171; p < .001). Further, statistically significant findings were manifest for study participants for omnibus age grouping and in the 25-35 years of age grouping, for those who were White and Hispanic by ethnic background, and for both females and males participating in this study. The results of this research may assist health department administrators in utilizing varying methods for distributing health information, keeping the preferred knowledge acquisition method of students on college and university campuses especially in mind.
Show less - Date Issued
- 2016
- PURL
- http://purl.flvc.org/fau/fd/FA00004740, http://purl.flvc.org/fau/fd/FA00004740
- Subject Headings
- Health behavior., Health attitudes., Adult education., Health education., Health--Information services., Medicine, Preventive--Information services.
- Format
- Document (PDF)
- Title
- Sparse Modeling Applied to Patient Identification for Safety in Medical Physics Applications.
- Creator
- Lewkowitz, Stephanie, Kalantzis, Georgios, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Physics
- Abstract/Description
-
Every scheduled treatment at a radiation therapy clinic involves a series of safety protocol to ensure the utmost patient care. Despite safety protocol, on a rare occasion an entirely preventable medical event, an accident, may occur. Delivering a treatment plan to the wrong patient is preventable, yet still is a clinically documented error. This research describes a computational method to identify patients with a novel machine learning technique to combat misadministration.The patient...
Show moreEvery scheduled treatment at a radiation therapy clinic involves a series of safety protocol to ensure the utmost patient care. Despite safety protocol, on a rare occasion an entirely preventable medical event, an accident, may occur. Delivering a treatment plan to the wrong patient is preventable, yet still is a clinically documented error. This research describes a computational method to identify patients with a novel machine learning technique to combat misadministration.The patient identification program stores face and fingerprint data for each patient. New, unlabeled data from those patients are categorized according to the library. The categorization of data by this face-fingerprint detector is accomplished with new machine learning algorithms based on Sparse Modeling that have already begun transforming the foundation of Computer Vision. Previous patient recognition software required special subroutines for faces and di↵erent tailored subroutines for fingerprints. In this research, the same exact model is used for both fingerprints and faces, without any additional subroutines and even without adjusting the two hyperparameters. Sparse modeling is a powerful tool, already shown utility in the areas of super-resolution, denoising, inpainting, demosaicing, and sub-nyquist sampling, i.e. compressed sensing. Sparse Modeling is possible because natural images are inherrently sparse in some bases, due to their inherrant structure. This research chooses datasets of face and fingerprint images to test the patient identification model. The model stores the images of each dataset as a basis (library). One image at a time is removed from the library, and is classified by a sparse code in terms of the remaining library. The Locally Competetive Algorithm, a truly neural inspired Artificial Neural Network, solves the computationally difficult task of finding the sparse code for the test image. The components of the sparse representation vector are summed by `1 pooling, and correct patient identification is consistently achieved 100% over 1000 trials, when either the face data or fingerprint data are implemented as a classification basis. The algorithm gets 100% classification when faces and fingerprints are concatenated into multimodal datasets. This suggests that 100% patient identification will be achievable in the clinal setting.
Show less - Date Issued
- 2016
- PURL
- http://purl.flvc.org/fau/fd/FA00004721, http://purl.flvc.org/fau/fd/FA00004721
- Subject Headings
- Computer vision in medicine, Diagnostic imaging -- Data processing, Mathematical models, Medical errors -- Prevention, Medical physics, Sampling (Statistics)
- Format
- Document (PDF)
- Title
- A review of corporate-based wellness programs for general health promotion and prevention of type II diabetes mellitus.
- Creator
- Hemmings, Jodian R., Blanks, Robert H., Florida Atlantic University, Charles E. Schmidt College of Medicine, Department of Biomedical Science
- Abstract/Description
-
This research focuses on obesity and other major risk factors for chronic diseases such as Type II Diabetes Mellitus, Heart Disease, and Stroke. Worksite wellness programs have been successful in this realm of health promotion and disease prevention for heart disease and stroke, but their effectiveness in treating diabetes has been uncertain partially due to poor patient compliance, lack of stress reduction strategies, poor diet and lack of persuasive health education on the risk of being...
Show moreThis research focuses on obesity and other major risk factors for chronic diseases such as Type II Diabetes Mellitus, Heart Disease, and Stroke. Worksite wellness programs have been successful in this realm of health promotion and disease prevention for heart disease and stroke, but their effectiveness in treating diabetes has been uncertain partially due to poor patient compliance, lack of stress reduction strategies, poor diet and lack of persuasive health education on the risk of being obese. Published peer-reviewed articles were reviewed, coded and analyzed to determine best practices, using a modified systematic review approach. The findings from these studies yield results that were used to develop a new employer-sponsored wellness program that is in accordance with the recently passed Affordable Care Act.
Show less - Date Issued
- 2014
- PURL
- http://purl.flvc.org/fau/fd/FA00004201, http://purl.flvc.org/fau/fd/FA00004201
- Subject Headings
- Behavior modification, Employee assistance programs, Health promotion, Medicine, Preventive, Non insulin dependent diabetes -- Prevention, obesity -- Risk factors, Preventive health services, Psychology, Industrial, Social responsibility of business, United States -- Patient Protection and Affordable Care Act
- Format
- Document (PDF)
- Title
- Finite element analysis and modeling of the anterior cruciate ligament in the human knee.
- Creator
- Savage, Tabatha Jordan, Hashemi, Javad, Florida Atlantic University, College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
- Abstract/Description
-
The Anterior Cruciate Ligament (ACL) resists excessive anterior translation and internal rotation of the tibia during athletic activities and stabilizes the knee. In the US, annually, over 200,000 cases of ACL disruption are reported. The impact on the quality of life of the subject and its cost to healthcare is tremendous. The objectives of this study were to determine any significant associations between the size of the tibial eminence and ACL injury and to develop a finite element model...
Show moreThe Anterior Cruciate Ligament (ACL) resists excessive anterior translation and internal rotation of the tibia during athletic activities and stabilizes the knee. In the US, annually, over 200,000 cases of ACL disruption are reported. The impact on the quality of life of the subject and its cost to healthcare is tremendous. The objectives of this study were to determine any significant associations between the size of the tibial eminence and ACL injury and to develop a finite element model for structural analysis. The results suggest that the size of the tibial eminence plays a role in loading the ACL and is therefore a risk factor. In addition to the epidemiological analysis, a finite element model of the knee was developed that with added modifications can be used for complex knee loading situations. The results in this thesis may be used to develop strategies for ACL injury prevention and rehabilitation.
Show less - Date Issued
- 2014
- PURL
- http://purl.flvc.org/fau/fd/FA00004327, http://purl.flvc.org/fau/fd/FA00004327
- Subject Headings
- Arthroscopy, Athletic injuries -- Prevention, Biomedical materials, First aid in illness and injury, Human mechanics, Joints -- Pathophysiology, Sports -- Physiological aspects, Sports medicine
- Format
- Document (PDF)
- Title
- Predictive modeling for wellness.
- Creator
- Pulumati, Pranitha, Agarwal, Ankur, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
Wellness and healthy life are the most common concerns for an individual to lead a happy life. A web-based approach known as Wellness Scoring is being developed taking into people’s concerns for their health issues. In this approach, four different classifiers are being investigated to predict the wellness. In this thesis, we investigated four different classifiers (a probabilistic graphical model, simple probabilistic classifier, probabilistic statistical classification and an artificial...
Show moreWellness and healthy life are the most common concerns for an individual to lead a happy life. A web-based approach known as Wellness Scoring is being developed taking into people’s concerns for their health issues. In this approach, four different classifiers are being investigated to predict the wellness. In this thesis, we investigated four different classifiers (a probabilistic graphical model, simple probabilistic classifier, probabilistic statistical classification and an artificial neural network) to predict the wellness outcome. An approach to calculate wellness score is also addressed. All these classifiers are trained on real data, hence giving more accurate results. With this solution, there is a better way of keeping track of an individuals’ health. In this thesis, we present the design and development of such a system and evaluate the performance of the classifiers and design considerations to maximize the end user experience with the application. A user experience model capable of predicting the wellness score for a given set of risk factors is developed.
Show less - Date Issued
- 2014
- PURL
- http://purl.flvc.org/fau/fd/FA00004321, http://purl.flvc.org/fau/fd/FA00004321
- Subject Headings
- Bayesian statistical decision theory, Expert systems (Computer science), Health risk assessment, Medicine, Preventive, Patient self monitoring, Self care, Health, Well being
- Format
- Document (PDF)
- Title
- Survival and decontamination of potential bio-warfare agents on hospital surfaces.
- Creator
- Moench, Ian, Florida Atlantic University, Esiobu, Nwadiuto
- Abstract/Description
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Effective decontamination of infectious agents on critical and other hospital surfaces will drastically reduce nosocomial infections and impacts of any biological attack. This research determined the distribution of multiple species of bacteria on 16 different surfaces in two hospitals over a period of time to identify potential reservoirs of infection. The relative efficacy of current hospital disinfectants on endospores were also evaluated to inform policy. Using simulations of endospore...
Show moreEffective decontamination of infectious agents on critical and other hospital surfaces will drastically reduce nosocomial infections and impacts of any biological attack. This research determined the distribution of multiple species of bacteria on 16 different surfaces in two hospitals over a period of time to identify potential reservoirs of infection. The relative efficacy of current hospital disinfectants on endospores were also evaluated to inform policy. Using simulations of endospore-laden surfaces under laboratory conditions, the effects of exposure time, disinfectant concentration and possible synergies with endospore germination stimulant were evaluated. Keyboards, phones, door handles and bed rails were identified as risky hospital surfaces. The location and use of the surfaces were significant determinants of bacterial load. None of the disinfectants tested was sporicidal (<50% reduction). The results of this unique study provide healthcare personnel with a practical guide to control the spread of infection during peace and bio-warfare times.
Show less - Date Issued
- 2005
- PURL
- http://purl.flvc.org/fcla/dt/13215
- Subject Headings
- Bioterrorism--Health aspects, Emergency management--United States, Health facilities--Sanitation--United States, Bioterrorism--United States--Prevention, Disaster medicine, Disinfection and disinfectants
- Format
- Document (PDF)
