Evaluation of patient re-identification using laboratory test orders and mitigation via latent space variables. - Kipp W. Johnson; Jessica K. De Freitas; Benjamin S. Glicksberg; Jason R. Bobe; Joel T. Dudley (PSB, 2019)

Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. - Tingyi Wanyan; Martin Kang; Marcus A. Badgeley; Kipp W. Johnson; Jessica K. De Freitas; Fayzan F. Chaudhry; Akhil Vaid; Shan Zhao; Riccardo Miotto; Girish N. Nadkarni; Fei Wang 001; Justin F. Rousseau; et al. (AIME, 2020)

Sleep in the Natural Environment: A Pilot Study. - Fayzan F. Chaudhry; Matteo Danieletto; Eddye Golden; Jerome R. Scelza; Greg Botwin; Mark M. Shervey; Jessica K. De Freitas; Ishan Paranjpe; Girish N. Nadkarni; Riccardo Miotto; Patricia Glowe; Greg Stock; et al. (Sensors, 2020)

Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. - Tingyi Wanyan; Hossein Honarvar; Suraj K. Jaladanki; Chengxi Zang; Nidhi Naik; Sulaiman Somani; Jessica K. De Freitas; Ishan Paranjpe; Akhil Vaid; Riccardo Miotto; Girish N. Nadkarni; Marinka Zitnik; et al. (CoRR, 2021)

Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records. - Jessica K. De Freitas; Kipp W. Johnson; Eddye Golden; Girish N. Nadkarni; Joel T. Dudley; Erwin P. Bottinger; Benjamin S. Glicksberg; Riccardo Miotto (Patterns, 2021)

Contrastive learning improves critical event prediction in COVID-19 patients. - Tingyi Wanyan; Hossein Honarvar; Suraj K. Jaladanki; Chengxi Zang; Nidhi Naik; Sulaiman Somani; Jessica K. De Freitas; Ishan Paranjpe; Akhil Vaid; Jing Zhang; Riccardo Miotto; Zhangyang Wang; et al. (Patterns, 2021)

Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. - Tingyi Wanyan; Akhil Vaid; Jessica K. De Freitas; Sulaiman Somani; Riccardo Miotto; Girish N. Nadkarni; Ariful Azad; Ying Ding 001; Benjamin S. Glicksberg (IEEE Trans. Big Data, 2021)

Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping. - Will E. Thompson; David M. Vidmar; Jessica K. De Freitas; John M. Pfeifer; Brandon K. Fornwalt; Ruijun Chen; Gabriel Altay; Kabir Manghnani; Andrew C. Nelsen; Kellie Morland; Martin C. Stumpe; Riccardo Miotto (CoRR, 2023)

A probabilistic approach for building disease phenotypes across electronic health records. - David M. Vidmar; Jessica K. De Freitas; Will E. Thompson; John M. Pfeifer; Brandon K. Fornwalt; Noah Zimmerman; Riccardo Miotto; Ruijun Chen (BioData Min., 2025)