Application of data mining techniques to healthcare data.
about
Exploratory data mining analysis identifying subgroups of patients with depression who are at high risk for suicide.The use of regional platforms for managing electronic health records for the production of regional public health indicators in France.Quantitative population-health relationship (QPHR) for assessing metabolic syndromeA clinical decision tool for predicting patient care characteristics: patients returning within 72 hours in the emergency departmentInformation and communications technology in chronic disease care: what are the implications for payment?Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes - ELSA-Brasil: accuracy study.A decision support tool for health service re-design.Large-scale survey to estimate the prevalence of disorders for 192 Kennel Club registered breeds.Improving Prediction Accuracy of "Central Line-Associated Blood Stream Infections" Using Data Mining Models.Data mining for the identification of metabolic syndrome status.
P2860
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P2860
Application of data mining techniques to healthcare data.
description
2004 nî lūn-bûn
@nan
2004 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Application of data mining techniques to healthcare data.
@ast
Application of data mining techniques to healthcare data.
@en
type
label
Application of data mining techniques to healthcare data.
@ast
Application of data mining techniques to healthcare data.
@en
prefLabel
Application of data mining techniques to healthcare data.
@ast
Application of data mining techniques to healthcare data.
@en
P356
P1476
Application of data mining techniques to healthcare data.
@en
P2093
Mary K Obenshain
P304
P356
10.1086/502460
P577
2004-08-01T00:00:00Z