Enhancing Precision Medicine through Artificial Neural Networks for Phenotyping and Risk Prediction of Rare Genetic Disorders-Reference-Cited by-同舟云学术

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Enhancing Precision Medicine through Artificial Neural Networks for Phenotyping and Risk Prediction of Rare Genetic Disorders

Published:2024-01-27 Issue: Volume:10 Page:1-6
ISSN:
Container-title:2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)
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Author:

Kaliappan Seeniappan¹,Balaji V.²,Socrates S.³,Yamsani Nagendar⁴

Affiliation:

1. KCG College of Technology, Karapakkam,Department of Mechatronics Engineering,Chennai,Tamil Nadu,India,600097

2. Loyola Institute of Technology,Department of Mechanical Engineering,Chennai,Tamil Nadu,India,600123

3. Velammal Institute of Technology,Department of Mechanical Engineering,Chennai,Tamil Nadu,India,601204

4. School of Computer Science & Artificial Intelligence, SR University,Warangal,Telangana,506371

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10507884/10507806/10507974.pdf?arnumber=10507974

Reference28 articles.

1. Hybrid Deep learning based Semi-supervised Model for Medical Imaging

2. Breast Cancer Detection on Histopathological Images Using a Composite Dilated Backbone Network

3. A neuro-genetic model to predict hepatitis disease risk

4. Significance of Dimensionality Reduction in Intrusion Detection Dataset;Dubey,2021

5. A Succinct Analytical Study of the Usability of Encryption Methods in Healthcare Data Security

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