Wearable Technology and Machine Learning for Early Detection and Risk Assessment of Unacceptable Toxicities in a Paediatric Oncology Cohort

Summary

Data collection study to establish a predictive model of infection observed during childhood cancer therapy using data captured by wearable technology.

Eligibility

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.

Conditions4

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