Evaluation of data processing pipelines on real-world electronic health records data for the purpose of measuring patient similarity.

Pikoula, Maria; Kallis, Constantinos; Madjiheurem, Sephora; Quint, Jennifer K; Bafadhel, Mona; Denaxas, Spiros

Pikoula, Maria; Kallis, Constantinos; Madjiheurem, Sephora; Quint, Jennifer K; Bafadhel, Mona; Denaxas, Spiros.

Afiliación

Pikoula M; Institute of Health Informatics, University College London, London, United Kingdom.
Kallis C; National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Madjiheurem S; Department of Electronic and Electrical Engineering, University College London, London, United Kingdom.
Quint JK; National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Bafadhel M; School of Immunology and Microbial Sciences, King's College London, London, United Kingdom.
Denaxas S; Institute of Health Informatics, University College London, London, United Kingdom.

PLoS One ; 18(6): e0287264, 2023.

Article en En | MEDLINE | ID: mdl-37319288

Asunto(s)

Registros Electrónicos de Salud; Enfermedad Pulmonar Obstructiva Crónica; Humanos; Análisis por Conglomerados

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad Pulmonar Obstructiva Crónica / Registros Electrónicos de Salud Aspecto: Patient_preference Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos

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