Mao-Jhen Jhou
Biographic Data
| ID | 7896271 |
|---|---|
| NAME | Mao-Jhen Jhou |
| GIVEN NAMES | Mao-Jhen |
| FAMILY NAME | Jhou |
| SIGNATURE | JHOU M |
| AFFILIATIONS | Fu Jen Catholic University |
| ORCID | 0000-0003-1250-7434 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Integrated Machine Learning Decision Tree Model for Risk Evaluation in Patients with Non-Valvular Atrial Fibrillation When Taking Different Doses of Dabigatran
The new generation of nonvitamin K antagonists are broadly applied for stroke prevention due to their notable efficacy and safety. Our study aimed to develop a suggestive utilization of dabigatran through an integrated machine learning (ML) decision-tree model. Participants taking different doses of dabigatran in the Randomized Evaluation of Long-Term Anticoagulant Therapy trial were included in our analysis and defined as the 110 mg and 150 mg g…
No prominent works on this page.
Integrated Machine Learning Decision Tree Model for Risk Evaluation in Patients with Non-Valvular Atrial Fibrillation When Taking Different Doses of Dabigatran
The new generation of nonvitamin K antagonists are broadly applied for stroke prevention due to their notable efficacy and safety. Our study aimed to develop a suggestive utilization of dabigatran through an integrated machine learning (ML) decision-tree model. Participants taking different doses of dabigatran in the Randomized Evaluation of Long-Term Anticoagulant Therapy trial were included in our analysis and defined as the 110 mg and 150 mg g…
Artificial Intelligence (1 works) · Atrial fibrillation (1 works) · Atrial Fibrillation Management and Outcomes (1 works) · Boosting (machine learning (1 works) · Cart (1 works) · Computational Drug Discovery Methods (1 works) · Computer Science (1 works) · Dabigatran (1 works) · Decision tree (1 works) · Gradient boosting (1 works)