Pacheco, Jennifer A.

The power of genetic diversity in genome-wide association studies of lipids

Graham, S. E., Clarke, S. L., Wu, K.-H. H., Kanoni, S., Zajac, G. J. M., Ramdas, S., Surakka, I., Ntalla, I., Vedantam, S., Winkler, T. W., et al. (2021) · Nature

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 972

Electronic Medical Records for Genetic Research: Results of the eMERGE Consortium

Kho, A. N., Pacheco, J. A., Peissig, P. L., Rasmussen, L., Newton, K. M., Weston, N., Crane, P. K., Pathak, J., Chute, C. G., Bielinski, S. J., et al. (2011) · Science Translational Medicine

Electronic Health Records SystemsGenetic Associations and Epidemiology

Cited by 336

Type 2 Diabetes Variants Disrupt Function of SLC16A11 through Two Distinct Mechanisms

Rusu, V., Hoch, E., Mercader, J. M., Tenen, D. E., Gymrek, M., Hartigan, C. R., DeRan, M., von Grotthuss, M., Fontanillas, P., Spooner, A., et al. (2017) · Cell

Genetic Associations and EpidemiologyMetabolism, Diabetes, and Cancer

Cited by 152

Impact of data fragmentation across healthcare centers on the accuracy of a high-throughput clinical phenotyping algorithm for specifying subjects with type 2 diabetes mellitus

Wei, W.-Q., Leibson, C. L., Ransom, J. E., Kho, A. N., Caraballo, P. J., Chai, H. S., Yawn, B. P., Pacheco, J. A., & Chute, C. G. (2012) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 112

AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease

Mao, C., Xu, J., Rasmussen, L., Li, Y., Adekkanattu, P., Pacheco, J., Bonakdarpour, B., Vassar, R., Shen, L., Jiang, G., et al. (2023) · Journal of Biomedical Informatics

Machine Learning in HealthcareDementia and Cognitive Impairment Research

Cited by 67

A Machine Learning Algorithm for Identifying Atopic Dermatitis in Adults from Electronic Health Records

Gustafson, E., Pacheco, J., Wehbe, F., Silverberg, J., & Thompson, W. (2017) · 2017 IEEE International Conference on Healthcare Informatics (ICHI)

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 65