Data mining for prognosis prediction of lymphoma: Based on big data and artificial intelligence modeling

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2000031397

Enrollment

Unknown

Registered

2020-03-30

Start date

2020-04-10

Completion date

Unknown

Last updated

2020-04-06

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

Conditions

Lymphoma

Interventions

case series:N/A

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Aged 18 - 85 years; 2. Patients diagnosed with lymphoma according to guidelines.

Exclusion criteria

Exclusion criteria: 1. Patients with incomplete data information in the medical transit cloud and unable to be included in the statistics after evaluation; 2. Patients who declare that their personal information is not involved in any research after admission; 3. In the data cleaning stage, data cleaning is carried out for missing value, abnormal value, outlier, etc., and extreme data is excluded for modeling and calculation.

Design outcomes

Primary

Measure	Time frame
Survival time of lymphoma patients;	—

Secondary

Measure	Time frame
Prognosis of lymphoma patients;	—

Countries

China

Contacts

Public ContactZhang Ce, Zhang Xuan

The Second Hospital of Dalian Medical of University

zhangce88@126.com+86 17709873135

Outcome results

None listed

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