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The construction of state transition time series forecasting model in ulcerative colitis based on machine learning

The construction of state transition time series forecasting model in ulcerative colitis based on machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500104143
Enrollment
Unknown
Registered
2025-06-11
Start date
2025-06-11
Completion date
Unknown
Last updated
2025-06-16

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

Conditions

Ulcerative Colitis

Interventions

Observation group:None

Sponsors

Peking Union Medical College Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Patients diagnosed with UC at Peking Union Medical College Hospital from January 2000 to November 2024, with at least 2 medical records, were included. The diagnostic criteria were based on the "Chinese clinical practice guideline on the management of ulcerative colitis(2023,Xi'an)"; 2. Age not limited, male or female not limited; 3. Complete clinical data, including patient general information, clinical symptoms, laboratory tests (blood routine, biochemistry, immunity, inflammation and infection indicators), auxiliary examinations (abdominal imaging, endoscopy), etc.

Exclusion criteria

Exclusion criteria: 1. Patients with less than 2 medical records and clinical indicators; 2. Patients diagnosed with uncertain colitis or unable to rule out diseases such as lymphoma, bacterial dysentery, and intestinal tuberculosis; 3. Combined malignant diseases and other autoimmune diseases; 4. Pregnant and lactating women or women planning to conceive; 5. Disagree or inability to perform endoscopic and other related examinations.

Design outcomes

Primary

MeasureTime frame
Transition between activition and the remission;

Secondary

MeasureTime frame
New complications;New extraintestinal manifestations;Progression of lesion scope;

Countries

China

Contacts

Public ContactHong Yang

Peking Union Medical College Hospital

hongy72@163.com+86 10 69155014

Outcome results

None listed

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