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Development of an interpretable machine learning-based intelligent system of exercise prescription for cardio-oncology preventive care

Development of an interpretable machine learning-based intelligent system of exercise prescription for cardio-oncology preventive care

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2300077887
Enrollment
Unknown
Registered
2023-11-22
Start date
2023-12-01
Completion date
Unknown
Last updated
2023-11-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

cardio-oncology

Interventions

Test group:Exercise Prescription

Sponsors

Guangzhou Sport University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 55 Years

Inclusion criteria

Inclusion criteria: Inclusion criteria: Participants will be eligible if they are (1) PLWC in Stage I or cancer survivors from Stage I; (2) aged between 18 and 55 years; (3) interested in physical exercise for rehabilitation; (4) willing to wear smart sensors/watches; (5) assessed by doctors as suitable for exercise interventions.

Exclusion criteria

Exclusion criteria: Exclusion criteria: Participants will be ineligible for inclusion if they have: (1) current or recent serious sports injuries; or (2) existing severe CVD; or (3) other conditions that may not be suitable for exercise interventions, as assessed by doctors.

Design outcomes

Primary

MeasureTime frame
24-Hour ECG;—

Countries

China

Contacts

Public ContactShan He

Guangzhou Sport University

657367818@qq.com+86 136 6073 3639

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 7, 2026