Revolutionizing Disease Diagnosis with Deep Learning Frameworks and Machine Learning

The sudden upsurge in varied diseases points to the urgency of advanced diagnostic equipment in contemporary medicine. The groundbreaking research features a groundbreaking medical platform that rides on the power of machine learning and deep learning to identify a range of diseases with unnerving precision, including malaria, diabetes, cancer, and pneumonia. At the core of this groundbreaking system is a sophisticated neural network architecture, carefully trained on enormous, heterogeneous medical data sets. This allows the platform to identify subtle, characteristic signs and complex patterns of a wide range of health states. In addition, the user-friendly, intuitive interface allows for effortless integration into clinical practice, supporting broad adoption among clinicians. This pioneering research has the potential to revolutionize disease detection, allowing for timely intervention and customized treatment approaches based on individual patient requirements.

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Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/iccct63501.2025.11019700
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Revolutionizing Disease Diagnosis with Deep Learning Frameworks and Machine Learning

Ishita Agarwal, D Gokulakrishnan, M Anjhana
Machine Learning in Healthcare
article

Revolutionizing Disease Diagnosis with Deep Learning Frameworks and Machine Learning

Ishita Agarwal, D Gokulakrishnan, M Anjhana
article en

Abstract

The sudden upsurge in varied diseases points to the urgency of advanced diagnostic equipment in contemporary medicine. The groundbreaking research features a groundbreaking medical platform that rides on the power of machine learning and deep learning to identify a range of diseases with unnerving precision, including malaria, diabetes, cancer, and pneumonia. At the core of this groundbreaking system is a sophisticated neural network architecture, carefully trained on enormous, heterogeneous medical data sets. This allows the platform to identify subtle, characteristic signs and complex patterns of a wide range of health states. In addition, the user-friendly, intuitive interface allows for effortless integration into clinical practice, supporting broad adoption among clinicians. This pioneering research has the potential to revolutionize disease detection, allowing for timely intervention and customized treatment approaches based on individual patient requirements.

SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 94%
Machine Learning in Healthcare
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