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A supervised learning approach for the influence of comorbidities in the analysis of COVID-19 mortality in Tamil Nadu.

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第一作者： S,Koteeswaran

第一单位： Department of CSE (AI&ML), S.A. Engineering College, Chennai, 600077 Tamil Nadu India.

作者： S,Koteeswaran ^[1] ; R,Suganya ^[2] ; Chellammal,Surianarayanan ^[3] ; E A,Neeba ^[4] ; A,Suresh ^[5] ; Pethuru Raj,Chelliah ^[6] ; Seyed M,Buhari ^[7]

作者单位： Department of CSE (AI&ML), S.A. Engineering College, Chennai, 600077 Tamil Nadu India. ^[1] School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu India. ^[2] Centre for Distance and Online Education, Bharathidasan University, Tiruchirappalli, Tamil Nadu India. ^[3] Department of Information Technology, Rajagiri School of Engineering and Technology, Kochi, Kerala India. ^[4] Department of Networking and Communications, School of Computing, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603202 Tamil Nadu India. ^[5] Edge AI Division, Reliance Jio Platforms Ltd., Bangalore, Karnataka India. ^[6] School of Business, Universiti Teknologi Brunei, Jalan Tungku Link, Mukim Gadong A, BE1410 Brunei. ^[7]

关键词 COVID-19 Comorbidities Death pattern Exploratory data analysis Fuzzy Healthcare Mortality Supervised learning algorithms Vulnerable population

DOI 10.1007/s00500-023-08590-2

PMID 37362286

发布时间 2023-09-28

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A supervised learning approach for the influence of comorbidities in the analysis of COVID-19 mortality in Tamil Nadu.

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A supervised learning approach for the influence of comorbidities in the analysis of COVID-19 mortality in Tamil Nadu.

Soft computing

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Soft computing

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