ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes

1 code implementation • 9 Mar 2024 • Zhichao Yang, Avijit Mitra, Sunjae Kwon, Hong Yu

The advancement of natural language processing (NLP) systems in healthcare hinges on language model ability to interpret the intricate information contained within clinical notes.

Few-Shot Learning Language Modelling

UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?

1 code implementation • 29 Jun 2023 • Junda Wang, Zonghai Yao, Avijit Mitra, Samuel Osebe, Zhichao Yang, Hong Yu

This paper presents UMASS_BioNLP team participation in the MEDIQA-Chat 2023 shared task for Task-A and Task-C. We focus especially on Task-C and propose a novel LLMs cooperation system named a doctor-patient loop to generate high-quality conversation data sets.

Associations Between Natural Language Processing (NLP) Enriched Social Determinants of Health and Suicide Death among US Veterans

1 code implementation • 11 Dec 2022 • Avijit Mitra, Richeek Pradhan, Rachel D Melamed, Kun Chen, David C Hoaglin, Katherine L Tucker, Joel I Reisman, Zhichao Yang, Weisong Liu, Jack Tsai, Hong Yu

All SDOH, measured by structured data and NLP, were significantly associated with increased risk of suicide.

Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding

1 code implementation • 7 Oct 2022 • Zhichao Yang, Shufan Wang, Bhanu Pratap Singh Rawat, Avijit Mitra, Hong Yu

Automatic International Classification of Diseases (ICD) coding aims to assign multiple ICD codes to a medical note with average length of 3, 000+ tokens.

Contrastive Learning Medical Code Prediction

Sepsis Prediction and Vital Signs Ranking in Intensive Care Unit Patients

no code implementations • 17 Dec 2018 • Avijit Mitra, Khalid Ashraf

For the detection of sepsis, severe sepsis, and septic shock, our model achieves an AUC of 0. 97, 0. 96 and 0. 91, respectively.