This paper is in the following e-collection/theme issue:

Generative Language Models Including ChatGPT (708) Decision Support for Health Professionals (1540) Methods and Instruments in Medical Informatics (189) Ontologies, Classifications, and Coding (324) Artificial Intelligence (2131) Chatbots and Conversational Agents (740) Clinical Informatics (1325) Clinical Information and Decision Making (1916) New Methods (1134)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74142, first published .
Evaluating the Reasoning Capabilities of Large Language Models for Medical Coding and Hospital Readmission Risk Stratification: Zero-Shot Prompting Approach

Evaluating the Reasoning Capabilities of Large Language Models for Medical Coding and Hospital Readmission Risk Stratification: Zero-Shot Prompting Approach

Evaluating the Reasoning Capabilities of Large Language Models for Medical Coding and Hospital Readmission Risk Stratification: Zero-Shot Prompting Approach

Authors of this article:

Parvati Naliyatthaliyazchayil1 Author Orcid Image ;   Raajitha Muthyala1 Author Orcid Image ;   Judy Wawira Gichoya2 Author Orcid Image ;   Saptarshi Purkayastha1 Author Orcid Image
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