Personalised Risk Modelling for Older Adult Cancer Survivors: Combining Wearable Data and Self-Reported Measures to Address Time-Varying Risks

Personalised Risk Modelling for Older Adult Cancer Survivors: Combining Wearable Data and Self-Reported Measures to Address Time-Varying Risks

Recent advancements in wearable devices have significantly enhanced remote patient monitoring, enabling healthcare professionals to evaluate conditions within home settings. While electronic health records (EHRs) offer extensive clinical data, they often lack crucial contextual information about pat...

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Bibliographic Details
Main Authors: Zoe Valero-Ramon, Gema Ibanez-Sanchez, Antonio Martinez-Millana, Carlos Fernandez-Llatas
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Sensors
Subjects:
process mining
wearable devices
time-varying risks
older adult cancer patients
dynamic risk models
Online Access:https://www.mdpi.com/1424-8220/25/7/2097
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https://www.mdpi.com/1424-8220/25/7/2097

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