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Machine learning models for 180-day mortality prediction of patients with advanced cancer using patient-reported symptom data.

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Title: Machine learning models for 180-day mortality prediction of patients with advanced cancer using patient-reported symptom data.
Authors: Xu C; MD Anderson Center for INSPiRED Cancer Care (Integrated Systems for Patient-Reported Data), The University of Texas MD Anderson Cancer Center, Houston, TX, USA.; Division of Patient-Centered Analytics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Subbiah IM; Department of Palliative, Rehabilitation and Integrative Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA., Lu SC; MD Anderson Center for INSPiRED Cancer Care (Integrated Systems for Patient-Reported Data), The University of Texas MD Anderson Cancer Center, Houston, TX, USA.; Division of Patient-Centered Analytics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Pfob A; MD Anderson Center for INSPiRED Cancer Care (Integrated Systems for Patient-Reported Data), The University of Texas MD Anderson Cancer Center, Houston, TX, USA.; Department of Obstetrics and Gynecology, University Breast Unit, Heidelberg University Hospital, Heidelberg, Germany., Sidey-Gibbons C; MD Anderson Center for INSPiRED Cancer Care (Integrated Systems for Patient-Reported Data), The University of Texas MD Anderson Cancer Center, Houston, TX, USA. cgibbons@mdanderson.org.; Division of Patient-Centered Analytics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. cgibbons@mdanderson.org.; Symptom Research CAO, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd. Unit 1055, Houston, TX, 77030-4009, USA. cgibbons@mdanderson.org.
Source: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation [Qual Life Res] 2023 Mar; Vol. 32 (3), pp. 713-727. Date of Electronic Publication: 2022 Oct 29.
Publication Type: Journal Article
Journal Info: Publisher: Springer Netherlands Country of Publication: Netherlands NLM ID: 9210257 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2649 (Electronic) Linking ISSN: 09629343 NLM ISO Abbreviation: Qual Life Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine learning models for 180-day mortality prediction of patients with advanced cancer using patient-reported symptom data.
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  Data: <searchLink fieldCode="AU" term="%22Xu+C%22">Xu C</searchLink>; MD Anderson Center for INSPiRED Cancer Care (Integrated Systems for Patient-Reported Data), The University of Texas MD Anderson Cancer Center, Houston, TX, USA.; Division of Patient-Centered Analytics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.<br /><searchLink fieldCode="AU" term="%22Subbiah+IM%22">Subbiah IM</searchLink>; Department of Palliative, Rehabilitation and Integrative Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA.<br /><searchLink fieldCode="AU" term="%22Lu+SC%22">Lu SC</searchLink>; MD Anderson Center for INSPiRED Cancer Care (Integrated Systems for Patient-Reported Data), The University of Texas MD Anderson Cancer Center, Houston, TX, USA.; Division of Patient-Centered Analytics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.<br /><searchLink fieldCode="AU" term="%22Pfob+A%22">Pfob A</searchLink>; MD Anderson Center for INSPiRED Cancer Care (Integrated Systems for Patient-Reported Data), The University of Texas MD Anderson Cancer Center, Houston, TX, USA.; Department of Obstetrics and Gynecology, University Breast Unit, Heidelberg University Hospital, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Sidey-Gibbons+C%22">Sidey-Gibbons C</searchLink>; MD Anderson Center for INSPiRED Cancer Care (Integrated Systems for Patient-Reported Data), The University of Texas MD Anderson Cancer Center, Houston, TX, USA. cgibbons@mdanderson.org.; Division of Patient-Centered Analytics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. cgibbons@mdanderson.org.; Symptom Research CAO, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd. Unit 1055, Houston, TX, 77030-4009, USA. cgibbons@mdanderson.org.
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        Value: 10.1007/s11136-022-03284-y
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      – Code: eng
        Text: English
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        StartPage: 713
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      – TitleFull: Machine learning models for 180-day mortality prediction of patients with advanced cancer using patient-reported symptom data.
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            NameFull: Xu C
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              Text: 2023 Mar
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              Y: 2023
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              Value: 32
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            – TitleFull: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
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