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Improving performance of deep learning predictive models for COVID-19 by incorporating environmental parameters.
Wathore, Roshan; Rawlekar, Samyak; Anjum, Saima; Gupta, Ankit; Bherwani, Hemant; Labhasetwar, Nitin; Kumar, Rakesh.
Afiliação
  • Wathore R; CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur 440020, Maharashtra, India.
  • Rawlekar S; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India.
  • Anjum S; Indian Institute of Technology (IIT) Dharwad, Dharwad 580 011, Karnataka, India.
  • Gupta A; CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur 440020, Maharashtra, India.
  • Bherwani H; CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur 440020, Maharashtra, India.
  • Labhasetwar N; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India.
  • Kumar R; CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur 440020, Maharashtra, India.
Gondwana Res ; 114: 69-77, 2023 Feb.
Article em En | MEDLINE | ID: mdl-35431596
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article