HealthPrompt: A zero-shot learning paradigm for Clinical Natural Language Processing. - Sonish Sivarajkumar; Yanshan Wang (AMIA, 2022)

A Novel Zero-shot Learning Framework for Clinical Text Classification. - Sonish Sivarajkumar; Yanshan Wang (AMIA, 2022)

Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing. - Haneef Ahamed Mohammad; Sonish Sivarajkumar; Samual Viggiano; David Oniani; Shyam Visweswaran; Yanshan Wang (CoRR, 2022)

Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks. - David Oniani; Sonish Sivarajkumar; Yanshan Wang (CoRR, 2022)

Evaluation of Healthprompt for Zero-shot Clinical Text Classification. - Sonish Sivarajkumar; Yanshan Wang (ICHI, 2023)

An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing. - Sonish Sivarajkumar; Mark Kelley; Alyssa Samolyk-Mazzanti; Shyam Visweswaran; Yanshan Wang (CoRR, 2023)

Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets using Graph Machine Learning. - Sonish Sivarajkumar; Pratyush Tandale; Ankit Bhardwaj; Kipp W. Johnson; Anoop Titus; Benjamin S. Glicksberg; Shameer Khader; Kamlesh K. Yadav; Lakshminarayanan Subramanian (CoRR, 2023)

Fair patient model: Mitigating bias in the patient representation learned from the electronic health records. - Sonish Sivarajkumar; Yufei Huang 001; Yanshan Wang (J. Biomed. Informatics, 2023)

RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts. - Yuelyu Ji; Zhuochun Li; Rui Meng; Sonish Sivarajkumar; Yanshan Wang; Zeshui Yu; Hui Ji; Yushui Han; Hanyu Zeng; Daqing He (BioNLP@ACL, 2024)

A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare. - Thomas Yu Chow Tam; Sonish Sivarajkumar; Sumit Kapoor; Alisa V. Stolyar; Katelyn Polanska; Karleigh R. McCarthy; Hunter Osterhoudt; Xizhi Wu; Shyam Visweswaran; Sunyang Fu; Piyush Mathur; Giovanni E. Cacciamani; et al. (CoRR, 2024)

Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning. - Fengyi Gao; Xingyu Zhang; Sonish Sivarajkumar; Parker E. Denny; Bayan M. Aldhahwani; Shyam Visweswaran; Ryan Shi; William Hogan; Allyn Bove; Yanshan Wang (CoRR, 2024)

Extraction of sleep information from clinical notes of Alzheimer's disease patients using natural language processing. - Sonish Sivarajkumar; Thomas Yu Chow Tam; Haneef Ahamed Mohammad; Samuel Viggiano; David Oniani; Shyam Visweswaran; Yanshan Wang (J. Am. Medical Informatics Assoc., 2024)

A framework for human evaluation of large language models in healthcare derived from literature review. - Thomas Yu Chow Tam; Sonish Sivarajkumar; Sumit Kapoor; Alisa V. Stolyar; Katelyn Polanska; Karleigh R. McCarthy; Hunter Osterhoudt; Xizhi Wu; Shyam Visweswaran; Sunyang Fu; Piyush Mathur; Giovanni E. Cacciamani; et al. (npj Digit. Medicine, 2024)

Clinical Information Retrieval: A Literature Review. - Sonish Sivarajkumar; Haneef Ahamed Mohammad; David Oniani; Kirk Roberts; William R. Hersh; Hongfang Liu; Daqing He; Shyam Visweswaran; Yanshan Wang (J. Heal. Informatics Res., 2024)

Mitigating the risk of health inequity exacerbated by large language models. - Yuelyu Ji; Wenhe Ma; Sonish Sivarajkumar; Hang Zhang; Eugene Mathew Sadhu; Zhuochun Li; Xizhi Wu; Shyam Visweswaran; Yanshan Wang (npj Digit. Medicine, 2025)

Automating Adjudication of Cardiovascular Events Using Large Language Models. - Sonish Sivarajkumar; Kimia Ameri; Chuqin Li; Yanshan Wang; Min Jiang (CoRR, 2025)