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In This Issue
Handwriting – Based Behaviour Pattern Detection Using Convolutional Neural Networks
Dwarapu Daliya
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Pilla Divya
A Secure Data Encoding Framework with AES-GCM Encryption and Compress AI-Based Learned Compression
Kurella Padma
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Dr. Nitin Prabhu Kulkarni
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Dr. S. Sahaya Arockia Selvi
Green-Synthesized Silver Nanoparticles for Photocatalytic Degradation of Organic Dyes: A Comprehensive Review
Dr. Herendra Kumar
Intelligent Prediction of Cancer Diseases through Machine Learning
by Veeramuthu P , Rajesh D
International Journal of Technology & Emerging Research 2025 , 1 (5) , 107–111
10.64823/ijter.2505009Abstract
Cancer remains one of the leading causes of mortality worldwide, and timely diagnosis plays a critical role in improving patient survival rates. Traditional diagnostic methods often face challenges such as complexity, cost, and human error, necessitating the development of intelligent computational systems. This study proposes a machine learning–based framework for the intelligent prediction of cancer diseases, aiming to improve accuracy, reduce misdiagnosis, and support clinical decision-making. The proposed approach integrates feature selection, optimized model training, and performance evaluation to construct a scalable predictive model applicable to various types of cancer.
Keywords: Cancer Prediction, Machine Learning, Intelligent Systems, Early Diagnosis, Clinical Decision Support
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