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Tzu-Chi Liu

Observed name: Liu, Tzu-Chi
ORCID: 0009-0001-8752-8953
Observed ORCID: 0009-0001-8752-8953
OpenAlex ID: A5043630861
Application of SHAP for Explainable Machine Learning on Age-Based Subgrouping Mammography Questionnaire Data for Positive Mammography Prediction and Risk Factor Identification
2023 · Jeffrey Sun, Cheuk-Kay Sun, et al. · Healthcare · 45
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Utilization of Decision Tree Algorithms for Supporting the Prediction of Intensive Care Unit Admission of Myasthenia Gravis: A Machine Learning-Based Approach
2022 · Che-Cheng Chang, Jiann-Horng Yeh, et al. · Journal of Personalized Medicine · 34
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Machine learning strategy for identifying altered gut microbiomes for diagnostic screening in myasthenia gravis
2023 · Che-Cheng Chang, Tzu-Chi Liu, et al. · Frontiers in Microbiology · 15
Machine Learning Predictive Models for Evaluating Risk Factors Affecting Sperm Count: Predictions Based on Health Screening Indicators
2023 · Hung-Hsiang Huang, Shang-Ju Hsieh, et al. · Journal of Clinical Medicine · 15
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Explainable machine learning model for identifying key gut microbes and metabolites biomarkers associated with myasthenia gravis
2024 · Che-Cheng Chang, Tzu-Chi Liu, et al. · Computational and Structural Biotechnology Journal · 13
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
2023 · Ming-Hsien Tsai, Mao-Jhen Jhou, et al. · Frontiers in Medicine · 12
Identifying and Exploring the Impact Factors for Intraocular Pressure Prediction in Myopic Children with Atropine Control Utilizing Multivariate Adaptive Regression Splines
2024 · Tzu-En Wu, Jun-Wei Chen, et al. · Journal of Personalized Medicine · 11
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Establishing a machine learning dementia progression prediction model with multiple integrated data
2024 · Yung-Chuan Huang, Tzu-Chi Liu, et al. · BMC Medical Research Methodology · 8
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The Potential of SHAP and Machine Learning for Personalized Explanations of Influencing Factors in Myopic Treatment for Children
2024 · Jun-Wei Chen, Hsin-An Chen, et al. · Medicina · 7
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Using a Decision Tree Algorithm Predictive Model for Sperm Count Assessment and Risk Factors in Health Screening Population
2023 · Hung-Hsiang Huang, Chi-Jie Lu, et al. · Risk Management and Healthcare Policy · 7
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An Integrated Machine Learning Scheme for Predicting Mammographic Anomalies in High-Risk Individuals Using Questionnaire-Based Predictors
2022 · Cheuk-Kay Sun, Yun-Xuan Tang, et al. · International Journal of Environmental Research and Public Health · 7
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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
2024 · Ming-Shu Chen, Tzu-Chi Liu, et al. · Diagnostics · 3
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Interpretable machine learning based decision tree model for predicting obstructive airway disease in a large non-smoking health screening population
2026 · Chih-Yueh Chang, Hsiang-Shi Shen, et al. · Scientific Reports · 2
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Assessing the length of hospital stay for patients with myasthenia gravis based on the data mining MARS approach
2023 · Che-Cheng Chang, Jiann-Horng Yeh, et al. · Frontiers in Neurology · 2
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Decision Tree Modeling to Predict Myopia Progression in Children Treated with Atropine: Toward Precision Ophthalmology
2025 · Jun-Wei Chen, Chi-Jie Lu, et al. · Diagnostics · 1
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Explainable Machine Learning Model for Personalized Assessment of the Need for Intensive Care in Patients with Myasthenia Gravis Based on Phenotype and Inflammatory Markers
2026 · Che-Cheng Chang, Kuan-Yu Lin, et al. · QJM
Predicting atropine treatment response heterogeneity in pediatric myopia using explainable machine learning: an on-treatment longitudinal monitoring framework
2026 · Jun-Wei Chen, Chieh-Han Yu, et al. · Scientific Reports
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Exploratory multivariate adaptive regression splines modeling of myopic progression in children receiving atropine
2026 · Jun-Wei Chen, Chieh-Han Yu, et al. · Journal of the Chinese Medical Association
Developing machine learning multi-step ahead forecasting scheme to predict outpatient queue length in phlebotomy department
2026 · Tzu-Chi Liu, Ming-Shu Chen, et al. · BMC Health Services Research
Amplicon sequence variant (ASV) count table for paired baseline (T0) and 6-month follow-up (T1) fecal samples from 15 patients with Myasthenia gravis (MG)
2026 · Chang, Che-Cheng, Lu, Chi-Jie, et al. · DRYAD
Interval-Valued Multi-Step-Ahead Forecasting of Green Electricity Supply Using Augmented Features and Deep-Learning Algorithms
2025 · Tzu-Chi Liu, Chih-Te Yang, et al. · Mathematics
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Works count: 21
Citation count: 182
H-index: 8
I10-index: 7
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