[vc_row][vc_column][vc_column_text][1] Liao, Katherine P., et al. “Development of phenotype algorithms using electronic medical records and incorporating natural language processing.” bmj 350 (2015): h1885.

[2] Yu, Sheng, et al. “Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources.” Journal of the American Medical Informatics Association 22.5 (2015): 993-1000.

[3] Yu, Sheng, et al. “Surrogate-assisted feature extraction for high-throughput phenotyping.” Journal of the American Medical Informatics Association 24.e1 (2016): e143-e149.

[4] Yu, Sheng, et al. “Enabling phenotypic big data with PheNorm.” Journal of the American Medical Informatics Association 25.1 (2017): 54-60.

[5] Cai, Tianxi, et al. “Association of Interleukin 6 Receptor Variant With Cardiovascular Disease Effects of Interleukin 6 Receptor Blocking Therapy: A Phenome-Wide Association Study.” JAMA cardiology (2018).

 

(Upcoming Publications)
[1] MAP Paper
[2] Nature protocol for phenotyping pipeline
[3] Note ranking paper[/vc_column_text][/vc_column][/vc_row]