Year |
Citation |
Score |
2023 |
Li F, Wu P, Ong HH, Peterson JF, Wei WQ, Zhao J. Evaluating and Mitigating Bias in Machine Learning Models for Cardiovascular Disease Prediction. Journal of Biomedical Informatics. 104294. PMID 36706849 DOI: 10.1016/j.jbi.2023.104294 |
0.647 |
|
2022 |
Wu P, Feng Q, Kerchberger VE, Nelson SD, Chen Q, Li B, Edwards TL, Cox NJ, Phillips EJ, Stein CM, Roden DM, Denny JC, Wei WQ. Integrating gene expression and clinical data to identify drug repurposing candidates for hyperlipidemia and hypertension. Nature Communications. 13: 46. PMID 35013250 DOI: 10.1038/s41467-021-27751-1 |
0.681 |
|
2021 |
Wu P, Nelson SD, Zhao J, Stone CA, Feng Q, Chen Q, Larson EA, Li B, Cox NJ, Stein CM, Phillips EJ, Roden DM, Denny JC, Wei WQ. DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions. Journal of the American Medical Informatics Association : Jamia. PMID 33712848 DOI: 10.1093/jamia/ocab019 |
0.676 |
|
2019 |
Wu P, Gifford A, Meng X, Li X, Campbell H, Varley T, Zhao J, Carroll R, Bastarache L, Denny JC, Theodoratou E, Wei WQ. Developing and Evaluating Mappings of ICD-10 and ICD-10-CM Codes to PheCodes. Jmir Medical Informatics. PMID 31553307 DOI: 10.2196/14325 |
0.663 |
|
2019 |
Zhao J, Zhang Y, Schlueter DJ, Wu P, Eric Kerchberger V, Trent Rosenbloom S, Wells QS, Feng Q, Denny JC, Wei WQ. Detecting Time-Evolving Phenotypic Topics via Tensor Factorization on Electronic Health Records: Cardiovascular Disease Case Study. Journal of Biomedical Informatics. 103270. PMID 31445983 DOI: 10.1016/J.Jbi.2019.103270 |
0.703 |
|
2019 |
Zhao J, Feng Q, Wu P, Warner JL, Denny JC, Wei WQ. Using topic modeling via non-negative matrix factorization to identify relationships between genetic variants and disease phenotypes: A case study of Lipoprotein(a) (LPA). Plos One. 14: e0212112. PMID 30759150 DOI: 10.1371/Journal.Pone.0212112 |
0.696 |
|
2019 |
Zhao J, Feng Q, Wu P, Lupu RA, Wilke RA, Wells QS, Denny JC, Wei WQ. Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction. Scientific Reports. 9: 717. PMID 30679510 DOI: 10.1038/S41598-018-36745-X |
0.691 |
|
Show low-probability matches. |