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ABSTRACT: Introduction
Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in the diagnosis of various diseases, including tropical fevers such as dengue and malaria. However, there is a lack of standard guidelines to develop the AI models, the gap between clinical and engineering expertise and clinical validation of the models, and hence there is a critical need for the development of an integrated diagnostic tool which uses demographical, laboratory variables and epidemiological parameters of patient and provides early prediction.Methods and analysis
The present study aimed to develop and evaluate a machine-learning (ML) prediction tool for differential
SUBMITTER: Chitrapady S
PROVIDER: S-EPMC12778211 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature