Multimodal Reinforcement Learning for Embedding Networks and Medication Recommendation in Parkinson’s Disease-Reference-Cited by-同舟云学术

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Multimodal Reinforcement Learning for Embedding Networks and Medication Recommendation in Parkinson’s Disease

Published:2024 Issue: Volume:12 Page:74251-74267
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kim Hongbum¹^ORCID,Park Chanyoung¹^ORCID,Hoon Kim Jong¹,Jang Sejeong¹^ORCID,Lee Hyo Kyung¹^ORCID

Affiliation:

1. School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea

Funder

National Research Foundation (NRF) funded by Korean Government

Korea Institute for Advancement of Technology (KIAT) funded by Korean Government (MOTIE) through the Competency Development Program for Industry Specialist

BK21 FOUR funded by the Ministry of Education of Korea and National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10538276.pdf?arnumber=10538276

Reference47 articles.

1. Parkinson's disease

2. Parkinson's disease: clinical features and diagnosis

3. Predicting Severity Of Parkinson’s Disease Using Deep Learning

4. Parkinsons disease prediction using artificial neural network;Sadek;Int. J. Academic Health Med. Res.,2019

5. Early diagnosis of Parkinson’s disease using machine learning algorithms

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