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Explainable artificial intelligence model to predict acute critical illness from electronic health records.
Lauritsen, Simon Meyer; Kristensen, Mads; Olsen, Mathias Vassard; Larsen, Morten Skaarup; Lauritsen, Katrine Meyer; Jørgensen, Marianne Johansson; Lange, Jeppe; Thiesson, Bo.
Afiliación
  • Lauritsen SM; Enversion A/S, Fiskerivej 12, 1st floor, 8000, Aarhus C, Denmark. sla@enversion.dk.
  • Kristensen M; Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus N, Denmark. sla@enversion.dk.
  • Olsen MV; Enversion A/S, Fiskerivej 12, 1st floor, 8000, Aarhus C, Denmark.
  • Larsen MS; Department of Biomedical Engineering and Informatics, Aalborg University, Niels Jernes Vej 12, 9220, Aalborg Ø, Denmark.
  • Lauritsen KM; Department of Biomedical Engineering and Informatics, Aalborg University, Niels Jernes Vej 12, 9220, Aalborg Ø, Denmark.
  • Jørgensen MJ; Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus N, Denmark.
  • Lange J; Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard, 99, 8200, Aarhus N, Denmark.
  • Thiesson B; Department of Research, Horsens Regional Hospital, Sundvej 30, 8700, Horsens, Denmark.
Nat Commun ; 11(1): 3852, 2020 07 31.
Article en En | MEDLINE | ID: mdl-32737308
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Sepsis / Lesión Pulmonar Aguda / Registros Electrónicos de Salud / Lesión Renal Aguda Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2020 Tipo del documento: Article País de afiliación: Dinamarca
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Sepsis / Lesión Pulmonar Aguda / Registros Electrónicos de Salud / Lesión Renal Aguda Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2020 Tipo del documento: Article País de afiliación: Dinamarca