Using an mHealth approach to collect patient-generated health data for predicting adverse health outcomes among adult survivors of childhood cancer

IntroductionCancer therapies predispose childhood cancer survivors to various treatment-related late effects, which contribute to a higher symptom burden, chronic health conditions (CHCs), and premature mortality. Regular monitoring of symptoms between clinic visits is useful for timely medical cons...

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Bibliografische Detailangaben

Hauptverfasser:	Kristen E. Howell, Marian Shaw, Aimee K. Santucci, Kristy Rodgers, Izeris Ortiz Rodriguez, Danah Taha, Sara Laclair, Carol Wolder, Christie Cooper, Wonjong Moon, Christopher Vukadinovich, Matthew J. Erhardt, Shannon M. Dean, Gregory T. Armstrong, Kirsten K. Ness, Melissa M. Hudson, Yutaka Yasui, I-Chan Huang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2024-05-01
Schriftenreihe:	Frontiers in Oncology
Schlagworte:	childhood cancer survivors electronic health record late effects machine learning mHealth patient-generated health data
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fonc.2024.1374403/full
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