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Cytogenetic of chromosomal synteny evaluation: bioinformatic applications towards screening of chromosomal aberrations/ genetic disorder
Title
Cytogenetic of chromosomal synteny evaluation: bioinformatic applications towards screening of chromosomal aberrations/ genetic disorder.
Creator
Sharma, Sandhya, Neelakanta, Perambur S., Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
The research efforts refer to tracking homologus loci in the chromosomes of a pair of a species. The purpose is to infer the extent of maximum syntenic correlation when an exhaustive set of orthologs of the species are searched. Relevant bioinformatic analyses use comparative mapping of conserved synteny via Oxford grid. In medical diagnostic efforts, deducing such synteny correlation can help screening chromosomal aberration in genetic disorder pathology. Objectively, the present study...
Show moreThe research efforts refer to tracking homologus loci in the chromosomes of a pair of a species. The purpose is to infer the extent of maximum syntenic correlation when an exhaustive set of orthologs of the species are searched. Relevant bioinformatic analyses use comparative mapping of conserved synteny via Oxford grid. In medical diagnostic efforts, deducing such synteny correlation can help screening chromosomal aberration in genetic disorder pathology. Objectively, the present study addresses: (i) Cytogenetic framework of syntenic correlation and, (ii) applying information-theoretics to determine entropy-dictated synteny across an exhaustive set of orthologs of the test pairs of species.
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Date Issued
2014
PURL
http://purl.flvc.org/fau/fd/FA00004331, http://purl.flvc.org/fau/fd/FA00004331
Subject Headings
Cytogenetics, Genetic screening, Human chromosome abnormalities, Medical genetics, Molecular biology, Molecular diagnosis, Molecular genetics, Mutation (Biology)
Format
Document (PDF)
AUC estimation under various survival models
Title
AUC estimation under various survival models.
Creator
Chang, Fazhe., Charles E. Schmidt College of Science, Department of Mathematical Sciences
Abstract/Description
In the medical science, the receiving operationg characteristic (ROC) curve is a graphical representation to evaluate the accuracy of a medical diagnostic test for any cut-off point. The area under the ROC curve (AUC) is an overall performance measure for a diagnostic test. There are two parts in this dissertation. In the first part, we study the properties of bi-Exponentiated Weibull models. FIrst, we derive a general moment formula for single Exponentiated Weibull models. Then we move on to...
Show moreIn the medical science, the receiving operationg characteristic (ROC) curve is a graphical representation to evaluate the accuracy of a medical diagnostic test for any cut-off point. The area under the ROC curve (AUC) is an overall performance measure for a diagnostic test. There are two parts in this dissertation. In the first part, we study the properties of bi-Exponentiated Weibull models. FIrst, we derive a general moment formula for single Exponentiated Weibull models. Then we move on to derive the precise formula of AUC and study the maximus likelihood estimation (MLE) of the AUC. Finally, we obtain the asymptotoc distribution of the estimated AUC. Simulation studies are used to check the performance of MLE of AUC under the moderate sample sizes. The second part fo the dissertation is to study the estimation of AUC under the crossing model, which extends the AUC formula in Gonen and Heller (2007).
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Date Issued
2012
PURL
http://purl.flvc.org/FAU/3359287
Subject Headings
Receiver operating characteristic curves, Medical screening, Statistical methods, Diagnosis, Statistical methods, Smoothing (Statistics)
Format
Document (PDF)
A Systematic Review and Quantitative Meta-Analysis of the Accuracy of Visual Inspection for Cervical Cancer Screening: Does Provider Type or Training Matter?
Title
A Systematic Review and Quantitative Meta-Analysis of the Accuracy of Visual Inspection for Cervical Cancer Screening: Does Provider Type or Training Matter?.
Creator
Driscoll, Susan D., Tappen, Ruth M., Florida Atlantic University, Christine E. Lynn College of Nursing
Abstract/Description
Background: A global cervical cancer health disparity persists despite the demonstrated success of primary and secondary preventive strategies, such as cervical visual inspection (VI). Cervical cancer is the leading cause of cancer incidence and death for women in many low resource areas. The greatest risk is for those who are unable or unwilling to access screening. Barriers include healthcare personnel shortages, cost, transportation, and mistrust of healthcare providers and systems. Using...
Show moreBackground: A global cervical cancer health disparity persists despite the demonstrated success of primary and secondary preventive strategies, such as cervical visual inspection (VI). Cervical cancer is the leading cause of cancer incidence and death for women in many low resource areas. The greatest risk is for those who are unable or unwilling to access screening. Barriers include healthcare personnel shortages, cost, transportation, and mistrust of healthcare providers and systems. Using community health workers (CHWs) may overcome these barriers, increase facilitators, and improve participation in screening for women in remote areas with limited access to clinical resources. Aim: To determine whether the accuracy of VI performed by CHWs was comparable to VI by physicians or nurses and to consider the affect components of provider training had on VI accuracy. Methods: A systematic review and quantitative meta-analysis of published literature reporting on VI accuracy, provider type, and training was conducted. Strict inclusion/exclusion criteria, study quality, and publication bias assessments improved rigor and bivariate linear mixed modeling (BLMM) was used to determine the affect of predictors on accuracy. Unconditional and conditional BLMMs, controlling for VI technique, provider type, community, clinical setting, HIV status, and gynecological symptoms were considered. Results: Provider type was a significant predictor of sensitivity (p=.048) in the unconditional VI model. VI performed by CHWs was 15% more sensitive than physicians (p=.014). Provider type was not a significant predictor of accuracy in any other models. Didactic and mentored hours predicted sensitivity in both BLMMs. Quality assurance and use of a training manual predicted specificity in unconditional BLMMs, but was not significant in conditional models. Number of training days, with ≤5 being optimal, predicted sensitivity in both BLMMs and specificity in the unconditional model. Conclusion: Study results suggest that community based cervical cancer screening with VI conducted by CHWs can be as, if not more, accurate than VI performed by licensed providers. Locally based screening programs could increase access to screening for women in remote areas. Collaborative partnerships in “pragmatic solidarity” between healthcare systems, CHWs, and the community could promote participation in screening resulting in decreased cervical cancer incidence and mortality.
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Date Issued
2016
PURL
http://purl.flvc.org/fau/fd/FA00004755
Subject Headings
Women--Health and hygiene., Cervix uteri--Cancer--Diagnosis., Cervix uteri--Cancer--Prevention., Medical screening., Medical care--Quality control., Community health services.
Format
Document (PDF)