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Research on personalized recommendation system of symptom management for breast cancer patients based on big data

Research on personalized recommendation system of symptom management for breast cancer patients based on big data

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000035439
Enrollment
Unknown
Registered
2020-08-11
Start date
2018-09-01
Completion date
Unknown
Last updated
2020-08-17

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

Conditions

breast cancer

Interventions

Sponsors

School of Nursing, Fudan University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: Patients diagnosed with breast cancer, aged >=18 years; patients first diagnosed with breast cancer and hospitalized for treatment; patients who are aware of the condition, without cognitive impairment, can read and write independently and volunteer to participate in this study

Exclusion criteria

Exclusion criteria: Patients with co-existing tumors or other serious medical conditions; The condition is extremely critical and life threatening; patients with delirious or unable to take care of himself or is uncooperative or has a mental disorder

Design outcomes

Primary

MeasureTime frame
Breast cancer specific patient reporting outcome measurement system;The physiological function subscale in the cancer treatment function evaluation system;

Countries

China

Contacts

Public ContactYuan Changrong

School of Nursing, Fudan University

yuancr@fudan.edu.cn+86 13611628602

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 22, 2026