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Landscape and climate factors can predict prevalence of Lyme disease bacteria（图）
气候因素 莱姆病细菌 公共卫生
2023/7/7
Predicting Lyme disease hotspots can help public health officials guide resources and proactive messaging to the public. But the ecology of the disease is complex, involving various host animals, blac...
Narrowing the gap on heritability of common disease by direct estimation in case-control GWAS
Narrowing the gap heritability common disease direct estimation case-control GWAS
2013/6/17
One of the major developments in recent years in the search for missing heritability of human phenotypes is the adoption of linear mixed-effects models (LMMs) to estimate heritability due to genetic v...
Heart Disease Prediction System using Associative Classification and Genetic Algorithm
Andhra Pradesh Associative classification Genetic algorithm Gini Index Z-Statistics
2013/5/2
Associative classification is a recent and rewarding technique which integrates association rule mining and classification to a model for prediction and achieves maximum accuracy. Associative classifi...
Sex workers draw a premium for engaging in unprotected sex. We theoretically motivate a test of whether this premium represents a compensating differential for disease, thereby mitigating sex workers’...
Early, reliable detection of disease outbreaks is a critical problem today. This paper reports an investigation of the use of causal Bayesian
networks to model spatio-temporal patte...
Using prior information to identify boundaries in disease risk maps
Conditional Autoregressive priors Disease mapping Lo-calised spatial smoothing
2012/9/17
Disease maps display the spatial pattern in disease risk, so that high-risk clusters can be identi ed. The spatial structure in the risk map is typically represented by a set of random e ects, which a...
Integrated analysis of variants and pathways in genome-wide association studies using polygenic models of disease
Integrated analysis of variants pathways genome-wide association studies polygenic models of disease
2012/9/18
Many common diseases are highly polygenic, modulated by a large number genetic factors with small effects on suscep-tibility to disease. These small effects are difficult to map reliably in genetic as...
Models of Disease Spectra
Models Disease Spectra
2012/9/19
Case vs control comparisons have been the classical approach to the study of neurological diseases. However, most patients will not fall cleanly into either group.Instead, clinicians will typically n...
ProDiGe: PRioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples
ProDiGe PRioritization Disease Genes multitask machine learning positive unlabeled examples
2011/7/6
Elucidating the genetic basis of human diseases is a central goal of genetics and molecular biology. While traditional linkage analysis and modern high-throughput techniques often provide long lists o...
A Data Mining Analysis of The Parkinson’s Disease
Parkinson’s Disease Data Mining Decision Tree Neural Network
2013/2/23
Clinical decision- making needs available information to be the guidance for physicians. Nowadays, data mining method is applied in medical research in order to analyze large volume of medical data. T...
Office works to strengthen the disease prevention and health promotion priorities of the federal Department of Health and Human Services (DHHS). Part of the Office of Public Health and Science, which ...
The Enhanced Diarrheal Disease Control Resource Center is managed by PATH in partnership with UNICEF’s Regional Office for The Americas and Caribbean .
Bayesian Multivariate Areal Wombling for Multiple Disease Boundary Analysis
Arealdata Cancer Multivariateconditionally autoregressive(MCAR)model Surveillance Epidemiology and End Results (SEER) data
2009/9/22
Multivariate data summarized over areal units (counties, zip codes,
etc.) are common in the eld of public health. Estimation or testing of geo-
graphic boundaries for such data may have varied goals...
Characterization of the NPMPLE of the Disease Onset Distribution Function for a Survival-Sacrifice Model
Characterization of the NPMPLE Disease Onset Distribution Function a Survival-Sacrifice Model
2009/9/18
Characterization of the NPMPLE of the Disease Onset Distribution Function for a Survival-Sacrifice Model。