A Non Invasive Hybrid Machine Learning Technique for Prediction of Multiple Psychological Diseases-Reference-Cited by-同舟云学术

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A Non Invasive Hybrid Machine Learning Technique for Prediction of Multiple Psychological Diseases

Published:2023-01-19 Issue: Volume: Page:
ISSN:
Container-title:2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
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Author:

Kamra Vikas¹,Kumar Praveen²,Mohammadian Masoud³,Sindhu Brahmdeep⁴,Puri Ravinder⁵

Affiliation:

1. Amity University Uttar Pradesh,Research Scholar,Noida,India

2. Amity University Uttar Pradesh,CSE Department,Noida,India

3. University of Canberra,Faculty of Science and Technology,Australia

4. Chief Medical Officer and Civil Surgeon,Palwal,India

5. Government National College,Department of Psychology,Sirsa,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10048789/10048790/10048877.pdf?arnumber=10048877

Reference28 articles.

1. Dual Structured Convolutional Neural Network with Feature Augmentation for Quantitative Characterization of Tissue Histology

2. SPHA: Smart Personal Health Advisor Based on Deep Analytics

3. Detection of Clinical Depression in Adolescents’ Speech During Family Interactions

4. A Network-Based System to Improve Care for Schizophrenia: The Medical Informatics Network Tool (MINT)

5. Neural Correlates of Moral Sensitivity in Obsessive-Compulsive Disorder

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