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Soft Computing Techniques for Smart Healthcare Systems

Year: 2026

Type: article

Abstract: This research paper explores the application of soft computing techniques in the development of smart healthcare systems. Traditional hard computing approaches struggle with uncertainty and imprecision in medical data. This study analyzes three major soft computing techniques: Fuzzy Logic, Artificial Neural Networks (ANN), and Genetic Algorithms (GA). The research highlights their role in improving diagnostic accuracy, optimization of treatment plans, and decision-support systems. The findings demonstrate that soft computing enables intelligent, adaptable, and patient-centric healthcare solutions.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18638192

Authors: DARJI, PRATHAM, Udayasuriyan, Arun

Institution: Parul University

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W7128920654

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