A Multi Layered Model for Polystic Syndrome Perception using CNMP

Author:

P Mithun1,A Balamurali1,A Deepak Kumar1,Maddu Sundarababu1,D Teena1,Ss Swetha1

Affiliation:

1. St. Joseph’s Institute of Technology,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Reference14 articles.

1. An Adaptive Harmony Search Approach for Gene Selection and Classification of High Dimensional Medical Data

2. Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management;cidham,2020

3. Establishment and Analysis of a Combined Diagnostic Model of Polycystic Ovary Syndrome with Random Forest and Artificial Neural Network

4. Activation of Systemic Inflammation and Oxidative Stress in Adolescent Girls with Polycystic Ovary Syndrome in Combination with Metabolic Disorders and Excessive Body Weight;vtorushina,2020

5. The Relevant Hormonal Levels and Diagnostic Features of Polycystic Ovary Syndrome in Adolescents;tarasova,2020

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1. A Quaternary Analysis of Cervical Cancer Identification and Ameliorate using Sigmoid Method;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

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