• Zuheb Sadiq H A
• HARISH B G
• CHETAN KUMAR G S
• Priya P G
• SNEHA Y M, POOJA K

Computer-Aided Diagnosis (CAD) is a quickly evolving, diverse field of study in medical analysis. Significant efforts have been made in recent years to develop computer-aided diagnostic applications, as failures in medical diagnosing processes can result in medical therapies that are severely deceptive. Machine learning (ML) is important in Computer Aided Diagnostic tests. Objects such as body organs cannot be identified correctly after using an easy equation. Therefore, pattern recognition essentially requires training from instances. In the bio-medical area, pattern detection and ML promise to improve the reliability of disease approach and detection. They also respect the dispassion of the method of decisions making. ML provides a respectable approach to making superior and automated algorithms for the study of high-dimension and multi-modal bio medicals data. The relative study of various ML algorithms for the detection of various diseases such as heart disease, and diabetes disease is given in this survey paper. It calls focus on the collection of algorithms and techniques for ML used for disease detection and decision-making processes.

Machine Learning (ML), Artificial Intelligence, ML Technique.

"SYMPTOMS-BASED DISEASE PREDICTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.g150-g155, July-2023, Available :http://www.jetir.org/papers/JETIR2307622.pdf

"SYMPTOMS-BASED DISEASE PREDICTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppg150-g155, July-2023, Available at : http://www.jetir.org/papers/JETIR2307622.pdf