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Random survival forests using linked data to measure illness burden among individuals before or after a cancer diagnosis: Development and internal validation of the SEER-CAHPS illness burden index.
Lines, Lisa M; Cohen, Julia; Kirschner, Justin; Halpern, Michael T; Kent, Erin E; Mollica, Michelle A; Smith, Ashley Wilder.
Afiliación
  • Lines LM; Center for Advanced Methods Development, RTI International, Research Triangle Park, NC, United States; Population and Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Ave. North, United States. Electronic address: llines@rti.org.
  • Cohen J; Center for Advanced Methods Development, RTI International, Research Triangle Park, NC, United States.
  • Kirschner J; Center for Advanced Methods Development, RTI International, Research Triangle Park, NC, United States.
  • Halpern MT; Division of Cancer Control and Population Sciences, Healthcare Delivery Research Program, National Cancer Institute, Bethesda, MD, United States.
  • Kent EE; Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, United States.
  • Mollica MA; Division of Cancer Control and Population Sciences, Healthcare Delivery Research Program, National Cancer Institute, Bethesda, MD, United States.
  • Smith AW; Division of Cancer Control and Population Sciences, Healthcare Delivery Research Program, National Cancer Institute, Bethesda, MD, United States.
Int J Med Inform ; 145: 104305, 2021 01.
Article en En | MEDLINE | ID: mdl-33188949
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Medicare Part C / Neoplasias Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies Aspecto: Patient_preference Límite: Aged / Humans País/Región como asunto: America do norte Idioma: En Revista: Int J Med Inform Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article Pais de publicación: Irlanda
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Medicare Part C / Neoplasias Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies Aspecto: Patient_preference Límite: Aged / Humans País/Región como asunto: America do norte Idioma: En Revista: Int J Med Inform Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article Pais de publicación: Irlanda