Sheng Yu
Cited by
Cited by
Natural language processing technologies in radiology research and clinical applications
T Cai, AA Giannopoulos, S Yu, T Kelil, B Ripley, KK Kumamaru, ...
Radiographics 36 (1), 176-191, 2016
Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources
S Yu, KP Liao, SY Shaw, VS Gainer, SE Churchill, P Szolovits, SN Murphy, ...
Journal of the American Medical Informatics Association 22 (5), 993-1000, 2015
Association of intracranial aneurysm rupture with smoking duration, intensity, and cessation
A Can, VM Castro, YH Ozdemir, S Dagen, S Yu, D Dligach, S Finan, ...
Neurology 89 (13), 1408-1415, 2017
Large-scale identification of patients with cerebral aneurysms using natural language processing
VM Castro, D Dligach, S Finan, S Yu, A Can, M Abd-El-Barr, V Gainer, ...
Neurology 88 (2), 164-168, 2017
Enabling phenotypic big data with PheNorm
S Yu, Y Ma, J Gronsbell, T Cai, AN Ananthakrishnan, VS Gainer, ...
Journal of the American Medical Informatics Association 25 (1), 54-60, 2018
Surrogate-assisted feature extraction for high-throughput phenotyping
S Yu, A Chakrabortty, KP Liao, T Cai, AN Ananthakrishnan, VS Gainer, ...
Journal of the American Medical Informatics Association 24 (e1), e143-e149, 2017
High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP)
Y Zhang, T Cai, S Yu, K Cho, C Hong, J Sun, J Huang, YL Ho, ...
Nature protocols 14 (12), 3426-3444, 2019
High-throughput multimodal automated phenotyping (MAP) with application to PheWAS
Journal of the American Medical Informatics Association 26 (11), 1255-1262, 2019
High throughput phenotyping for dimensional psychopathology in electronic health records
TH McCoy Jr, S Yu, KL Hart, VM Castro, HE Brown, JN Rosenquist, ...
Biological psychiatry 83 (12), 997-1004, 2018
Lipid-lowering agents and high HDL (high-density lipoprotein) are inversely associated with intracranial aneurysm rupture
A Can, VM Castro, D Dligach, S Finan, S Yu, V Gainer, NA Shadick, ...
Stroke 49 (5), 1148-1154, 2018
Biomedical question answering: a survey of approaches and challenges
Q Jin, Z Yuan, G Xiong, Q Yu, H Ying, C Tan, M Chen, S Huang, X Liu, ...
ACM Computing Surveys (CSUR) 55 (2), 1-36, 2022
Association between aspirin dose and subarachnoid hemorrhage from saccular aneurysms: a case-control study
A Can, RF Rudy, VM Castro, S Yu, D Dligach, S Finan, V Gainer, ...
Neurology 91 (12), e1175-e1181, 2018
Generation of synthetic electronic medical record text
J Guan, R Li, S Yu, X Zhang
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing
S Yu, KK Kumamaru, E George, RM Dunne, A Bedayat, M Neykov, ...
Journal of biomedical informatics 52, 386-393, 2014
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization
Z Yuan, Z Zhao, H Sun, J Li, F Wang, S Yu
Journal of biomedical informatics 126, 103983, 2022
Identification of subjects with polycystic ovary syndrome using electronic health records
V Castro, Y Shen, S Yu, S Finan, CT Pau, V Gainer, CC Keefe, G Savova, ...
Reproductive Biology and Endocrinology 13 (1), 1-8, 2015
Morphological variables associated with ruptured middle cerebral artery aneurysms
J Zhang, A Can, S Mukundan Jr, M Steigner, VM Castro, D Dligach, ...
Neurosurgery 85 (1), 75-83, 2019
Alcohol consumption and aneurysmal subarachnoid hemorrhage
A Can, VM Castro, YH Ozdemir, S Dagen, D Dligach, S Finan, S Yu, ...
Translational Stroke Research 9, 13-19, 2018
NILE: fast natural language processing for electronic health records
S Yu, T Cai, T Cai
arXiv preprint arXiv:1311.6063, 2013
Automated feature selection of predictors in electronic medical records data
J Gronsbell, J Minnier, S Yu, K Liao, T Cai
Biometrics 75 (1), 268-277, 2019
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