Paper Key : IRJ************418
Author: S. Jeniba,J.s. Neelaram
Date Published: 13 Apr 2024
Abstract
As the technology is growing very faster, people are coming together to digital life and digital communication.In all fields like hospitals, education, Military, Airports the technology is used. One of the major problem inhospitals are identification of Disease for a person remains a significant global health challenge, necessitatingaccurate and timely diagnosis for effective treatment and improved patient outcomes. This study proposes anovel approach for predicting Multiple diseases like Heart disease, Diabetes, Parkinsons Disease, ChronicKidney Disease, Covid-19 using advanced Machine Learning Techniques. The proposed framework harnessesthe power of advanced Machine Learning algorithms to analyze diverse healthcare datasets including medicalreports and genetic data. Furthermore, model interpretability techniques are applied to gain insights into theunderlying patterns and factors influencing disease prediction and outcomes.
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