Chronic obstructive pulmonary disease
Conditions
Interventions
None listed
Sponsors
Department of Respiratory Medicine and Infectious Disease, Yamaguchi University Hospital
1. The Council of Sado Regional Health Care 2. Department of Systems Bioinformatics, Graduate School of Medicine, Yamaguchi University 3. AI Systems Medicine Research and Training Center (AISMEC), Graduate School of Medicine, Yamaguchi University and Yamaguchi University Hospital 4. Department of Pulmonary and Gerontology, Graduate School of Medicine, Yamaguchi University
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Having International Classification of Disease, 10th revision [ICD-10] codes for COPD (J41-44) at least once in Sado-Himawari Network, which is the electronic health record (EHR) system in Sado city, Niigata prefecture, Japan. 2. Patients are regardless of inpatients or outpatients.
Exclusion criteria
Exclusion criteria: Patients with less than 180 days of follow-up in Sado-Himawari Network.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The accuracy of machine learning algorithm to predict CV events in COPD patients. | — |
Secondary
| Measure | Time frame |
|---|---|
| Predictors of CV events identified using machine learning techniques. | — |
Countries
Japan
Contacts
Public ContactKazuki Hamada
Yamaguchi University Hospital Department of Respiratory Medicine and Infectious Disease
Outcome results
None listed