Personalising monitoring for chemotherapy patients through predicting deterioration in renal and hepatic function.

Chambers, Pinkie; Watson, Matthew; Bridgewater, John; Forster, Martin D; Roylance, Rebecca; Burgoyne, Rebecca; Masento, Sebastian; Steventon, Luke; Harmsworth King, James; Duncan, Nick; Al Moubayed, Noura

Chambers, Pinkie; Watson, Matthew; Bridgewater, John; Forster, Martin D; Roylance, Rebecca; Burgoyne, Rebecca; Masento, Sebastian; Steventon, Luke; Harmsworth King, James; Duncan, Nick; Al Moubayed, Noura.

Afiliação

Chambers P; UCL School of Pharmacy, London, UK.
Watson M; Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.
Bridgewater J; Department of Computer Science, Durham University, Durham, UK.
Forster MD; Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.
Roylance R; UCL Cancer Institute, London, UK.
Burgoyne R; Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.
Masento S; UCL Cancer Institute, London, UK.
Steventon L; Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.
Harmsworth King J; UCL Cancer Institute, London, UK.
Duncan N; Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.
Al Moubayed N; UCL Cancer Institute, London, UK.

Cancer Med ; 12(17): 17856-17865, 2023 09.

Article em En | MEDLINE | ID: mdl-37610318

Assuntos

Bilirrubina; Aprendizado de Máquina; Humanos; Estudos Retrospectivos; Creatinina; Sensibilidade e Especificidade

Palavras-chave

chemotherapy; hepatic; machine learning; renal; treatment-dose

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bilirrubina / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Cancer Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

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