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Diagnosing Rare Hematological Diseases Based on Medical Records Using an Artificial Intelligence Model: A Single-Center, Retrospective Study

Diagnosing Rare Hematological Diseases Based on Medical Records Using an Artificial Intelligence Model: A Single-Center, Retrospective Study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400089959
Enrollment
Unknown
Registered
2024-09-20
Start date
2024-09-20
Completion date
Unknown
Last updated
2024-09-23

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

Conditions

Hematological rare diseases

Interventions

Grouping based on rare disease types:None

Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 100 Years

Inclusion criteria

Inclusion criteria: This study included patients who had been hospitalized in West China Hospital of Sichuan University between January 2011 and July 2024 and were eventually diagnosed with rare diseases of the blood system. Rare diseases of the blood system are defined as rare diseases in which the blood system is the source or the blood system is the most severe manifestation. Rare disease types with reference to the People's Republic of China, the first and the second batch of rare diseases directory is a rare disease of the blood, namely the following 25 kinds of disease: Castleman disease, congenital pure red cell aplastic anemia, Erdheim-Chester disease, Fanconi anemia, hemophilia, Langerhans histiocytosis, paroxysmal sleep hemoglobinuria, POEMS syndrome, primary light chain amyloidosis, sickle cell anemia, eczema thrombocytopenia with immune deficiency ), X - chain of lymphoid hyperplasia, acquired hemophilia, condensing set disease, congenital coagulation factor VII deficiency, skin T cell lymphoma, familial white blood cells of lymphoid tissue hyperplasia, platelet weakness syndrome, polycythemia vera, and idiopathic myelofibrosis, systemic mastocytosis, Mediterranean anemia (heavy), thrombotic thrombocytopenic Purpura, von Willebrand disease type III, Warburg's macroglobulinemia/lymphoplasmacytic lymphoma. Diagnostic information will be obtained from the hospital's reliable electronic medical record system, including up to 20 cases per rare disease and up to 500 cases overall (25 diseases, up to 20 cases each).

Exclusion criteria

Exclusion criteria: 1) The diagnostic conditions cannot meet the hard diagnostic criteria for the rare disease, but they are still diagnosed as clinically diagnosed patients with the rare disease. 2) can't get complete hospital records and discharged record information.

Design outcomes

Primary

MeasureTime frame
Diagnostic accuracy of admission records;Diagnostic accuracy of discharge records;

Secondary

MeasureTime frame
Diagnostic accuracy(Different admission and discharge departments);

Countries

China

Contacts

Public ContactWu Yu; Yu Hongbin

West China Hospital, Sichuan University

wuyulily@hotmail.com+86 189 8060 1973

Outcome results

None listed

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