Distributed Gradient Boosting Machines (DGBM) with Feature Selection via Particle Swarm Optimization for Predicting Disease Progression-Reference-Cited by-同舟云学术

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Distributed Gradient Boosting Machines (DGBM) with Feature Selection via Particle Swarm Optimization for Predicting Disease Progression

Published:2023-12-29 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
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Author:

Mamta ¹,Mane Dhirajkumar²,Dhumale Annasaheb J.³,Dhiman Hardik¹

Affiliation:

1. Chandigarh University,Department of CSE,Mohali,India

2. Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth,Department of Research,Karad,India

3. Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth,Department of CVTS,Karad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488914/10488923/10489387.pdf?arnumber=10489387

Reference20 articles.

1. A multi-task learning formulation for predicting disease progression

2. Predicting disease progression in cystic fibrosis

3. Exploring the Effectiveness of Optimized Convolutional Neural Network in Transfer Learning for Image Classification: A Practical Approach

4. Molecular sampling of prostate cancer: a dilemma for predicting disease progression

5. Do Positive Psychosocial Factors Predict Disease Progression in HIV-1? A Review of the Evidence

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