A5034569122- Artificial Intelligence in Healthcare
- Machine Learning in Healthcare
- Antiplatelet Therapy and Cardiovascular Diseases
- Piezoelectric Actuators and Control
- Artificial Intelligence in Healthcare and Education
- Cardiovascular Function and Risk Factors
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Lipoproteins and Cardiovascular Health
- Inflammatory Biomarkers in Disease Prognosis
- Sepsis Diagnosis and Treatment
- Aortic Thrombus and Embolism
- Aeroelasticity and Vibration Control
- Topology Optimization in Engineering
Lishui University
2022
Zhejiang University
2021-2022
Sir Run Run Shaw Hospital
2022
Early prediction and classification of prognosis is essential for patients in the coronary care unit (CCU). We applied a machine learning (ML) model using eXtreme Gradient Boosting (XGBoost) algorithm to prognosticate CCU compared XGBoost with traditional models.CCU patients' data were extracted from MIMIC-III v1.4 clinical database, divided into four groups based on time death: <30 days, 30 days-1 year, 1-5 years, ≥5 years. Four models, including XGBoost, naïve Bayes (NB), logistic...
Red blood cell distribution width (RDW) is associated with increased mortality risk in patients chronic obstructive pulmonary disease (COPD). However, limited data are available for critically ill COPD.
Abstract Piezoelectric actuators are widely employed in micro-precision applications due to their fast response and high resolution. This paper investigates the trajectory tracking control of a cantilever piezoelectric stack actuator (CPSA) under external perturbations hysteresis. A scheme is proposed that effectively compensates for hysteresis by employing an asymmetric Bouc-Wen (ABW) model, integrated with non-singular terminal sliding mode (NFTSMC) featuring variable convergence law....
To determine the effect of proton pump inhibitor (PPI) on in-stent restenosis (ISR) in patients receiving clopidogrel therapy.Total 439 underwent percutaneous coronary intervention (PCI) were enrolled study,including 250 post-PCI discharged alone and 189 with PPI. The ratio these two groups observed.During a mean follow-up period (13 ± 5.9) months, concomitant clopidogrel-PPI therapy had higher risk ISR than those (19.6% Compared 8%, P<0.001).Concomitant use PPI after hospital discharge...
Background: Early prediction and classification of prognosis is essential for patients in the coronary care unit (CCU). We applied a machine learning (ML) model using XGBoost algorithm to prognosticate CCU patients, compared with traditional models. Methods: patients’ data were extracted from MIMIC-III v1.4 clinical database, divided into four groups based on time death: <30 days, 30 days–1 year, 1 year–5 years, ≥5 years. Variables displayed between STATA software. Four models, including...