Wearable Technology and Machine Learning for Early Detection and Risk Assessment of Unacceptable Toxicities in a Paediatric Oncology Cohort
Trial Parameters
Brief Summary
Data collection study to establish a predictive model of infection observed during childhood cancer therapy using data captured by wearable technology.
Eligibility Criteria
Inclusion Criteria: * Paediatric, adolescent or young adult diagnosis of cancer AND receiving therapy placing them at risk of infection * Receiving cancer treatment at The Royal Children's Hospital * Patients aged 5-18 years at time of the eligibility screening * If aged \< 16 years, parent or guardian able to provide consent * iPhone 8 or later (iOS must be up to date/updated at time of enrolment) * At least 10MB of iPhone storage for WEARABLES app and data collection. * Willing and able to wear a wearable device for a period of 4 weeks (during waking hours). * Consent to data being shared to the WEARABLES app (owned by the research team). Exclusion Criteria: * \<5 years of age. * \<16 years of age without guardian or parent consent. * Aged 16-18 and unable to provide consent. * Participant did not consent to wearing Apple Watch for a period of 4 weeks.