Sara Morini Sweet

According to our database, Sara Morini Sweet authored at least 6 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A weakly supervised transformer for rare disease diagnosis and subphenotyping from EHRs with pulmonary case studies.

Kimberly F. Greco, Zongxin Yang, Mengyan Li, Han Tong, Sara Morini Sweet, Alon Geva, Kenneth D. Mandl, Benjamin A. Raby, Tianxi Cai

npj Digit. Medicine, 2026

2025

A Weakly Supervised Transformer to Support Rare Disease Diagnosis from Electronic Health Records: Methods and Applications in Rare Pulmonary Disease.

Kimberly F. Greco, Zongxin Yang, Mengyan Li, Han Tong, Sara Morini Sweet, Alon Geva, Kenneth D. Mandl, Benjamin A. Raby, Tianxi Cai

CoRR, July, 2025

Label efficient phenotyping for Long COVID using electronic health records.

Chuan Hong, Jun Wen, Harrison G. Zhang, Vidul Ayakulangara Panickan, Doris Yang, Alicia W. Chen, Xin Xiong, Xuan Wang, Michele Morris, Sara Morini, Rahul Sangar, Andrew Dey, Malarkodi J. Samayamuthu, Katherine P. Liao, Clara-Lea Bonzel, Vidisha Tanukonda, Monika Maripuri, Jacqueline Honerlaw, Yuk-Lam Ho, Shyam Visweswaran, Isaac S. Kohane, Kelly Cho, Gabriel A. Brat, Zongqi Xia, Tianxi Cai

npj Digit. Medicine, 2025

2024

Multisource representation learning for pediatric knowledge extraction from electronic health records.

Mengyan Li, Xiaoou Li, Kevin Pan, Alon Geva, Doris Yang, Sara Morini Sweet, Clara-Lea Bonzel, Vidul Ayakulangara Panickan, Xin Xiong, Kenneth D. Mandl, Tianxi Cai

npj Digit. Medicine, 2024

A teacher-teacher framework for clinical language representation learning.

Feiqing Huang, Shenghan Zhang, Sara Morini Sweet, Tianxi Cai

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Knowledge-Driven Online Multimodal Automated Phenotyping System.

Molei Liu, Sara Morini, Xin Xiong, Chuan Hong, Clara-Lea Bonzel, Vidul Ayakulangara Panickan, Everett Neil Rush, Yuk-Lam Ho, Kelly Cho, John Michael Gaziano, Katherine P. Liao, Tianxi Cai, Tianrun Cai

Proceedings of the AMIA 2022, 2022