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Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.

, , , and . J. Am. Medical Informatics Assoc., 24 (1): 198-208 (2017)

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HEGESMA: genome search meta-analysis and heterogeneity testing., and . Bioinformatics, 21 (18): 3672-3673 (2005)METRADISC-XL: A program for meta-analysis of multidimensional ranked discovery oriented datasets including microarrays., and . Computer Methods and Programs in Biomedicine, 108 (3): 1243-1246 (2012)Meta-analysis for ranked discovery datasets: Theoretical framework and empirical demonstration for microarrays., and . Computational Biology and Chemistry, 32 (1): 39-47 (2008)A Web-based database of genetic association studies in cutaneous melanoma enhanced with network-driven data exploration tools., , , , , , , , , and 3 other author(s). Database, (2014)Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness., , , , , , , , , and 8 other author(s). CoRR, (2018)Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review., , , and . J. Am. Medical Informatics Assoc., 24 (1): 198-208 (2017)A Systematic Review of Using Electronic Heath Records to Predict Clinical Events: Assessment of Opportunities and Challenges., , , and . CRI, AMIA, (2016)HELOW: A program for testing extreme homogeneity in meta-analysis., and . Computer Methods and Programs in Biomedicine, 117 (2): 383-386 (2014)An empirical assessment of validation practices for molecular classifiers., , and . Briefings in Bioinformatics, 12 (3): 189-202 (2011)