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Build a human body weight prediction model based on multi-modal data and artificial intelligence algorithms

Build a human body weight prediction model based on multi-modal data and artificial intelligence algorithms

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300077898
Enrollment
Unknown
Registered
2023-11-23
Start date
2023-11-25
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

None listed

Interventions

subject:No

Sponsors

Shanghai Fourth People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: (1). Age =18 years old, no gender limit; (2). Voluntarily sign the informed consent form, and be able and willing to comply with planned data collection and other research procedures.

Exclusion criteria

Exclusion criteria: (1). People with physical disabilities; (2). Pregnant women; (3). Patients with hypotension; (4). People with electronic or metal devices implanted in the body, such as pacemakers or defibrillators, drug pumps, nerve stimulation devices, cochlear implants, metal device implants, etc.

Design outcomes

Primary

MeasureTime frame
mean squared error;—

Countries

China

Contacts

Public ContactZheng Yinggang

Shanghai Fourth People's Hospital

ingopro@126.com+86 180 8026 9578

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026