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Software system to predict the infection in COVID-19 patients using deep learning and web of things.
Singh, Ashima; Kaur, Amrita; Dhillon, Arwinder; Ahuja, Sahil; Vohra, Harpreet.
Affiliation
  • Singh A; CSED Thapar Institute of Engineering and Technology Patiala India.
  • Kaur A; CSED Thapar Institute of Engineering and Technology Patiala India.
  • Dhillon A; CSED Thapar Institute of Engineering and Technology Patiala India.
  • Ahuja S; CSED Thapar Institute of Engineering and Technology Patiala India.
  • Vohra H; ECED Thapar Institute of Engineering and Technology Patiala India.
Softw Pract Exp ; 52(4): 868-886, 2022 Apr.
Article in En | MEDLINE | ID: mdl-34538962

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Softw Pract Exp Year: 2022 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Softw Pract Exp Year: 2022 Document type: Article Country of publication: