Use of Clinical Phenotypes and Non-negative Tensor Factorization for Heart Failure Prediction. - Yu Deng; Al'ona Furmanchuk; Robert Chen 001; Faraz S. Ahmad; Jimeng Sun 001; Abel N. Kho (AMIA, 2017)

A Machine Learning-Based Approach for Identifying Atopic Dermatitis in Adults from Electronic Health Records. - Erin N. Gustafson; Al'ona Furmanchuk; Jennifer A. Pacheco; Firas H. Wehbe; Kathryn L. Jackson; Abel N. Kho; William K. Thompson; Jonathan Silverberg (AMIA, 2017)

Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach. - Al'ona Furmanchuk; James E. Saal; Jeff W. Doak; Gregory B. Olson; Alok N. Choudhary; Ankit Agrawal 001 (J. Comput. Chem., 2018)

Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network. - Jennifer A. Pacheco; Luke V. Rasmussen; Ken Wiley; Thomas N. Person; David J. Cronkite; Sunghwan Sohn; Shawn N. Murphy; Justin H. Gundelach; Vivian S. Gainer; Victor M. Castro; Cong Liu 020; Todd Lingren; et al. (AMIA, 2021)

Extracting social determinants of health from electronic health records using natural language processing: a systematic review. - Braja Gopal Patra; Mohit Manoj Sharma; Veer Vekaria; Prakash Adekkanattu; Olga V. Patterson; Benjamin S. Glicksberg; Lauren A. Lepow; Euijung Ryu; Joanna M. Biernacka; Al'ona Furmanchuk; Thomas J. George; William R. Hogan; et al. (J. Am. Medical Informatics Assoc., 2021)

Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs. - Prakash Adekkanattu; Al'ona Furmanchuk; Yonghui Wu; Aman Pathak; Braja Gopal Patra; Sarah Bost; Destinee Morrow; Grace Hsin-Min Wang; Yuyang Yang; Noah James Forrest; Yuan Luo 001; Theresa L. Walunas; et al. (npj Digit. Medicine, 2024)