Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Yi-Han Hsiao
An Accurate Prediction Model to Identify Undiagnosed At-Risk Patients With COPD: A Cross-Sectional Case-Finding Study
npj Primary Care Respiratory Medicine
Public Health
Family Practice
Environmental
Pulmonary
Respiratory Medicine
Occupational Health
The Effect of Cold Temperature on Increased Exacerbation of Chronic Obstructive Pulmonary Disease: A Nationwide Study
PLoS ONE
Multidisciplinary
Related publications
A Community Based Cross-Sectional Study to Identify Individuals at High Risk for Diabetes in Urban Slums of Hubli
International Journal of Community Medicine and Public Health
A Cross-Sectional Study to Identify a Set of Risk Factors for Caprine Herpesvirus 1 Infection
BMC Veterinary Research
Medicine
Veterinary
Development and Validation of a Predictive Model to Identify Patients at Risk of Severe COPD Exacerbations Using Administrative Claims Data
International Journal of COPD
Environmental
Public Health
Health Policy
Medicine
Pulmonary
Respiratory Medicine
Occupational Health
Comparison of Diaphragmatic Mobility Between COPD Patients With and Without Thoracic Hyperkyphosis: A Cross-Sectional Study
Jornal Brasileiro de Pneumologia
Pulmonary
Respiratory Medicine
Anxiety Sensitivity in Patients With Alcohol Dependence: A Cross-Sectional Case-Control Study
American Journal of Public Health Research
Risk Factors of Gangrenous Cholecystitis in Patients With Acute Cholecystitis: A Cross-Sectional Study
International Journal of Advanced Biological and Biomedical Research
Adherence to Medication in Neurogeriatric Patients: An Observational Cross-Sectional Study
BMC Public Health
Environmental
Public Health
Occupational Health
Prognostic Model to Identify Patients With Myelofibrosis at the Highest Risk of Transformation to Acute Myeloid Leukemia
Clinical Lymphoma, Myeloma and Leukemia
Cancer Research
Oncology
Hematology
Identifying Undiagnosed Diabetes: Cross-Sectional Survey of 3.6 Million Patients' Electronic Records
British Journal of General Practice
Medicine
Family Practice