Advancing Disease Diagnosis: Machine Learning for Accurate Prediction and Early Detection

S. Muthusundari, Seemantula Nischal, Sakkuru Srinivas, Sharath S

2023

Abstract

The use of advanced machine learning techniques has brought about a revolutionary change in disease prediction, leading to more precise and timely diagnoses that ultimately enhance patient outcomes. This research paper focuses on how machine learning algorithms are applied to predict diseases, particularly concentrating on early detection and tailoring treatment plans for individuals. The study involved a thorough analysis of a wide range of medical datasets, encompassing steps like data preparation, selecting relevant features, and training models. By employing cutting-edge algorithms like neural networks and ensemble methods, our research reveals substantial enhancements in the accuracy of disease prediction compared to conventional methods. This study significantly contributes to the ongoing discussion around precision medicine, providing insights into the amalgamation of machine learning prowess and medical expertise. By bridging the divide between data-derived insights and clinical decision-making, our discoveries hold profound implications for optimizing patient care and propelling advancements in healthcare protocols. As we navigate the intricate junction of technology and healthcare, this paper underscores the importance of thoughtfully integrating machine learning into disease prediction, ushering in a new era of proactive and individualized medical interventions.

Paper Citation

in Harvard Style

Muthusundari S., Nischal S., Srinivas S. and S S. (2023). Advancing Disease Diagnosis: Machine Learning for Accurate Prediction and Early Detection. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 298-304. DOI: 10.5220/0012614700003739

in Bibtex Style

@conference{ai4iot23,
author={S. Muthusundari and Seemantula Nischal and Sakkuru Srinivas and Sharath S},
title={Advancing Disease Diagnosis: Machine Learning for Accurate Prediction and Early Detection},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={298-304},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012614700003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Advancing Disease Diagnosis: Machine Learning for Accurate Prediction and Early Detection
SN - 978-989-758-661-3
AU - Muthusundari S.
AU - Nischal S.
AU - Srinivas S.
AU - S S.
PY - 2023
SP - 298
EP - 304
DO - 10.5220/0012614700003739
PB - SciTePress