Ya-Han Hu

发表

Two Decades of Research Using Taiwan’s National Health Insurance Claims Data: Bibliometric and Text Mining Analysis on PubMed

C. Hsieh, S. Sung, Ya-Han Hu, 2020, Journal of medical Internet research.

Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study

Kuanchin Chen, Ya-Han Hu, Sheng-Feng Sung, 2018, Int. J. Medical Informatics.

Critical Predictors for the Early Detection of Conversion From Unipolar Major Depressive Disorder to Bipolar Disorder: Nationwide Population-Based Retrospective Cohort Study

Cheng-Che Shen, Kuanchin Chen, Ya-Han Hu, 2020, JMIR medical informatics.

Prediction of Preoperative Blood Preparation for Orthopedic Surgery Patients: A Supervised Learning Approach

J. Hung, Cheng-Che Shen, Ya-Han Hu, 2018, Applied Sciences.

A Machine Learning Approach to Predicting Readmission or Mortality in Patients Hospitalized for Stroke or Transient Ischemic Attack

S. Sung, Ya-Han Hu, L. Hung, 2020, Applied Sciences.

Validity of a stroke severity index for administrative claims data research: a retrospective cohort study

Y. Kao Yang, C. Hsieh, Chih‐Hung Chen, 2016, BMC Health Services Research.

Automated risk assessment of newly detected atrial fibrillation poststroke from electronic health record data using machine learning and natural language processing

S. Sung, Kuan-Lin Sung, Ya-Han Hu, 2022, Frontiers in Cardiovascular Medicine.

A nomogram for predicting the readmission within 6 months after treatment in patients with acute coronary syndrome

Ying Lin, Ya-Han Hu, W. Dong, 2022, BMC Cardiovascular Disorders.

Prediction Model of Early Return to Hospital after Discharge Following Acute Ischemic Stroke.

Tsong-Hai Lee, Yen-Chu Huang, Jiann-Der Lee, 2019, Current neurovascular research.

Comorbidity study of borderline personality disorder: applying association rule mining to the Taiwan national health insurance research database

Ya-Han Hu, Cheng-Che Shen, Li-Yu Hu, 2017, BMC Medical Informatics and Decision Making.

Validation of a novel claims-based stroke severity index in patients with intracerebral hemorrhage

C. Hsieh, S. Sung, Huey-Juan Lin, 2016, Journal of epidemiology.

High risk of one-year stroke recurrence in patients with a younger age and prior history of ischemic stroke.

Tsong-Hai Lee, Yen-Chu Huang, Jiann-Der Lee, 2019, Current neurovascular research.

Predicting return visits to the emergency department for pediatric patients: Applying supervised learning techniques to the Taiwan National Health Insurance Research Database

Ya-Han Hu, Chun-Tien Tai, Sheng-Feng Sung, 2017, Comput. Methods Programs Biomed..

Determinants of Use of Long-term Continuous Electrocardiographic Monitoring for Acute Ischemic Stroke Patients without Atrial Fibrillation at Baseline.

B. Ovbiagele, Tsong-Hai Lee, Yen-Chu Huang, 2020, Current neurovascular research.

EMR-Based Phenotyping of Ischemic Stroke Using Supervised Machine Learning and Text Mining Techniques

Ya-Han Hu, Chia-Yi Lin, Sheng-Feng Sung, 2020, IEEE Journal of Biomedical and Health Informatics.

Risk stratification for the early diagnosis of borderline personality disorder using psychiatric co‐morbidities

A. Yang, S. Tsai, Li-Yu Hu, 2018, Early intervention in psychiatry.

Integrating Fuzzy Multiobjective Programming and System Dynamics to Develop an Approach for Talent Retention Policy Selection: Case on Health-Care Industry

Ya-Han Hu, Chia-Lun Lo, 2023, Journal of healthcare engineering.

Developing a stroke severity index based on administrative data was feasible using data mining techniques.

Yea-Huei Kao Yang, Sheng-Feng Sung, Cheng-Yang Hsieh, 2015, Journal of clinical epidemiology.

Predicting Factors and Risk Stratification for Return Visits to the Emergency Department Within 72 Hours in Pediatric Patients

Chia-Lun Lo, Sheng-Feng Sung, Ya-Han Hu, 2015, Pediatric emergency care.

Exploring the impact of intravenous thrombolysis on length of stay for acute ischemic stroke: a retrospective cohort study

S. Sung, Ya-Han Hu, L. Hung, 2015, BMC Health Services Research.

A comparison of stroke severity proxy measures for claims data research: a population‐based cohort study

Chung-Yi Li, C. Hsieh, E. Lai, 2016, Pharmacoepidemiology and drug safety.

Natural Language Processing Enhances Prediction of Functional Outcome After Acute Ischemic Stroke

J. Jeng, Chih‐Hao Chen, S. Sung, 2021, Journal of the American Heart Association.

Two Decades of Research Using Taiwan’s National Health Insurance Claims Data: Bibliometric and Text Mining Analysis on PubMed (Preprint)

C. Hsieh, S. Sung, Ya-Han Hu, 2020 .

Stroke severity may predict causes of readmission within one year in patients with first ischemic stroke event

C. Hsieh, S. Sung, Huey-Juan Lin, 2017, Journal of the Neurological Sciences.

An analysis of Chinese nursing electronic medical records to predict violence in psychiatric inpatients using text mining and machine learning techniques

J. Hung, Li-Yu Hu, Cheng-Che Shen, 2023, PloS one.

Developing a stroke alert trigger for clinical decision support at emergency triage using machine learning

Sheng-Feng Sung, Ling-Chien Hung, Ya-Han Hu, 2021, Int. J. Medical Informatics.

Critical Predictors for the Early Detection of Conversion From Unipolar Major Depressive Disorder to Bipolar Disorder: Nationwide Population-Based Retrospective Cohort Study (Preprint)

Cheng-Che Shen, Kuan-Fei Chen, Ya-Han Hu, 2019 .

Early Prediction of Functional Outcomes After Acute Ischemic Stroke Using Unstructured Clinical Text: Retrospective Cohort Study

C. Hsieh, S. Sung, Ya-Han Hu, 2022, JMIR medical informatics.

Early Prediction of Functional Outcomes After Acute Ischemic Stroke Using Unstructured Clinical Text: Retrospective Cohort Study (Preprint)

C. Hsieh, S. Sung, Ya-Han Hu, 2021 .