Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations

Increasing the efficiency of trial-patient matching: automated clinical trial eligibility Pre-screening for pediatric oncology patients

(2015) Yizhao Ni et al.   BMC Medical Informatics and Decision Making

Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials

(2015) R. Miotto et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

An overview of MetaMap: historical perspective and recent advances

(2014) Alan R Aronson et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department

(2014) Yizhao Ni et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Area under Precision-Recall Curves for Weighted and Unweighted Data

(2014) Jens Keilwagen et al.   PLoS One

Analysis of eligibility criteria representation in industry-standard clinical trial protocols

(2013) Sanmitra Bhattacharya et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Effort Required in Eligibility Screening for Clinical Trials

(2012) Lynne T. Penberthy et al.   Journal of Oncology Practice

Clinical Research Enrolling Pregnant Women: A Workshop Summary

(2011) Mary A. Foulkes et al.   JOURNAL OF WOMENS HEALTH

Electronic Screening Improves Efficiency in Clinical Trial Recruitment

(2009) S. R. Thadani et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Including Persons With HIV Infection in Cancer Clinical Trials

(2008) Govind C. Persad et al.   JOURNAL OF CLINICAL ONCOLOGY

AUC: a misleading measure of the performance of predictive distribution models

(2007) Jorge M. Lobo et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY