Mao-Jhen Jhou

发表

Important Risk Factors in Patients with Nonvalvular Atrial Fibrillation Taking Dabigatran Using Integrated Machine Learning Scheme—A Post Hoc Analysis

Chi-Jie Lu, Mingchih Chen, Yu-Chen Cheng, 2022, Journal of personalized medicine.

Comparing Multiple Linear Regression and Machine Learning in Predicting Diabetic Urine Albumin–Creatinine Ratio in a 4-Year Follow-Up Study

Y. Cheng, Yen-Lin Chen, Chieh-Hua Lu, 2022, Journal of clinical medicine.

Integrating Health Data-Driven Machine Learning Algorithms to Evaluate Risk Factors of Early Stage Hypertension at Different Levels of HDL and LDL Cholesterol

Ming-Shu Chen, Tsan-Chi Chen, Pen-Chih Liao, 2022, Diagnostics.

The Health Check-Up Data-Analysis for Risk Assessment of Chronic Kidney Disease (CKD) in Taiwan

Ming-Shu Chen, Mao-Jhen Jhou, Chi-Jie Lu, 2021, Nursing Informatics.

A Hybrid Risk Factor Evaluation Scheme for Metabolic Syndrome and Stage 3 Chronic Kidney Disease Based on Multiple Machine Learning Techniques

Tian-Shyug Lee, Ming-Shu Chen, Mao-Jhen Jhou, 2022, Healthcare.

Evaluating the Effect of Topical Atropine Use for Myopia Control on Intraocular Pressure by Using Machine Learning

Chi-Jie Lu, Tzu‐En Wu, Tingjen Chang, 2020, Journal of clinical medicine.

Clinical Predictors of Prolonged Hospital Stay in Patients with Myasthenia Gravis: A Study Using Machine Learning Algorithms

Chi-Jie Lu, J. Yeh, Che-Cheng Chang, 2021, Journal of clinical medicine.

Hybrid Basketball Game Outcome Prediction Model by Integrating Data Mining Methods for the National Basketball Association

Tian-Shyug Lee, Chi-Jie Lu, Wei-Jen Chen, 2021, Entropy.

Utilization of Decision Tree Algorithms for Supporting the Prediction of Intensive Care Unit Admission of Myasthenia Gravis: A Machine Learning-Based Approach

Chi-Jie Lu, H. Chiu, J. Yeh, 2022, Journal of personalized medicine.

Machine Learning Predictive Models for Evaluating Risk Factors Affecting Sperm Count: Predictions Based on Health Screening Indicators

Ming-Shu Chen, Mao-Jhen Jhou, Hung‐Hsiang Huang, 2023, Journal of clinical medicine.

Integrated Machine Learning Decision Tree Model for Risk Evaluation in Patients with Non-Valvular Atrial Fibrillation When Taking Different Doses of Dabigatran

Mingchih Chen, Yung-Chuan Huang, Mao-Jhen Jhou, 2023, International journal of environmental research and public health.

Health Data-Driven Machine Learning Algorithms Applied to Risk Indicators Assessment for Chronic Kidney Disease

Tian-Shyug Lee, Chi-Jie Lu, Ming-Shu Chen, 2021, Risk management and healthcare policy.

RMHP_A_319405 4401..4412

Tian-Shyug Lee, Chi-Jie Lu, Y. Chiu, 2021 .

An integrated machine learning predictive scheme for longitudinal laboratory data to evaluate the factors determining renal function changes in patients with different chronic kidney disease stages

Ming-Hsien Tsai, Yu-Wei Fang, Mao-Jhen Jhou, 2023, Frontiers in Medicine.

Analyzing Longitudinal Health Screening Data with Feature Ensemble and Machine Learning Techniques: Investigating Diagnostic Risk Factors of Metabolic Syndrome for Chronic Kidney Disease Stages 3a to 3b

Ming-Shu Chen, Mao-Jhen Jhou, Chi-Jie Lu, 2024, Diagnostics.