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Development and validation of a mobile application based on a machine learning model to aid in predicting dosage of vitamin K antagonists among Indian patients post mechanical heart valve replacement.
Amruthlal, M; Devika, S; Krishnan, Vignesh; Ameer Suhail, P A; Menon, Aravind K; Thomas, Alan; Thomas, Manu; Sanjay, G; Lakshmi Kanth, L R; Jeemon, P; Jose, Jimmy; Harikrishnan, S.
Afiliação
  • Amruthlal M; Department of Computer Science and Engineering, National Institute of Technology Calicut, India.
  • Devika S; Department of Computer Science and Engineering, National Institute of Technology Calicut, India.
  • Krishnan V; Department of Computer Science and Engineering, National Institute of Technology Calicut, India.
  • Ameer Suhail PA; Department of Computer Science and Engineering, National Institute of Technology Calicut, India.
  • Menon AK; Department of Computer Science and Engineering, National Institute of Technology Calicut, India.
  • Thomas A; Department of Computer Science and Engineering, National Institute of Technology Calicut, India.
  • Thomas M; Department of Computer Science and Engineering, National Institute of Technology Calicut, India.
  • Sanjay G; Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India.
  • Lakshmi Kanth LR; Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India.
  • Jeemon P; Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India.
  • Jose J; Department of Computer Science and Engineering, National Institute of Technology Calicut, India. Electronic address: jimmy@nitc.ac.in.
  • Harikrishnan S; Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India. Electronic address: drhari@sctimst.ac.in.
Indian Heart J ; 74(6): 469-473, 2022.
Article em En | MEDLINE | ID: mdl-36243102
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Varfarina / Aplicativos Móveis Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Varfarina / Aplicativos Móveis Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article