Evaluating predictive modeling algorithms to assess patient eligibility for clinical trials from routine data.
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Employing computers for the recruitment into clinical trials: a comprehensive systematic review.Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials.Folate deficiency in an unselected population in Calgary, Alberta and its relationship with red blood cell macrocytosis.Intelligent use and clinical benefits of electronic health records in rheumatoid arthritisYield and bias in defining a cohort study baseline from electronic health record data.The Data Gap in the EHR for Clinical Research Eligibility Screening.
P2860
Evaluating predictive modeling algorithms to assess patient eligibility for clinical trials from routine data.
description
2013 nî lūn-bûn
@nan
2013 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Evaluating predictive modeling ...... ical trials from routine data.
@ast
Evaluating predictive modeling ...... ical trials from routine data.
@en
type
label
Evaluating predictive modeling ...... ical trials from routine data.
@ast
Evaluating predictive modeling ...... ical trials from routine data.
@en
prefLabel
Evaluating predictive modeling ...... ical trials from routine data.
@ast
Evaluating predictive modeling ...... ical trials from routine data.
@en
P2093
P2860
P356
P1476
Evaluating predictive modeling ...... ical trials from routine data.
@en
P2093
Axel Scholler
Dennis Toddenroth
Dorota Lubgan
Felix Köpcke
Michael Stürzl
Roland Croner
P2860
P2888
P356
10.1186/1472-6947-13-134
P577
2013-12-09T00:00:00Z
P5875
P6179
1039100204