Predicting the Actual Usage of Online Health Care Service among Rural Citizens through E-Governance Initiatives during COVID-19 Using Machine Learning-Reference-Cited by-同舟云学术

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Predicting the Actual Usage of Online Health Care Service among Rural Citizens through E-Governance Initiatives during COVID-19 Using Machine Learning

Published:2022-01-01 Issue:SO3 Volume:13 Page:
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Container-title:Journal of Pharmaceutical Negative Results
language:
Short-container-title:pnr

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Siree Journals

Subject

Immunology,Rheumatology,Immunology and Allergy,Rheumatology,Rheumatology,Immunology,Immunology and Allergy,Rheumatology,Orthopedics and Sports Medicine,Surgery,Insect Science,Developmental Biology,Ecology, Evolution, Behavior and Systematics,General Medicine,Insect Science,Genetics,General Medicine,Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine,General Medicine

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ELECTRONIC GOVERNANCE IN SOUTH AFRICA: CHALLENGES AND BENEFITS;Journal of Law and Sustainable Development;2024-06-11

2. Revolutionizing Image Analysis for Precision Diagnosis and Recognition Using Cutting-Edge Visual Encoding;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

3. Impact of Technology on the Quality of Life of Elderly People in Smart Villages: Literature Review;IFAC-PapersOnLine;2024

4. Privacy in process mining: Logs conversion to images using machine learning algorithm;Journal of Intelligent & Fuzzy Systems;2023-07-02

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