Development and validation of interpretable machine learning models for inpatient fall events and electronic medical record integration
Clinical and Experimental Emergency Medicine. 2022;9(4):345-353 
Development and Validation of Interpretable Machine Learning for Stroke Occurrence in Older, Community Chinese Dwellers
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Considerations for Evaluation and Generalization in Interpretable Machine Learning
Explainable and Interpretable Models in Computer Vision and Machine Learning. 2018;3-17
Development and Validation of Machine Learning Models for Prediction of 1-Year Mortality Utilizing Electronic Medical Record Data Available at the End of Hospitalization in Multicondition Patients: a Proof-of-Concept Study
Journal of General Internal Medicine. 2018;33(6):921-928
Learning Interpretable Rules for Multi-Label Classification
Explainable and Interpretable Models in Computer Vision and Machine Learning. 2018;81-113
Interpretable deep-learning models to help achieve the Sustainable Development Goals
Nature Machine Intelligence. 2021;3(11):926-926
Discovering Interpretable Machine Learning Models in Parallel Coordinates
2021 25th International Conference Information Visualisation (IV). 2021;
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Nature Machine Intelligence. 2019;1(5):206-215
Interpretable Machine Learning for Inpatient COVID-19 Mortality Risk Assessments: Diabetes Mellitus Exclusive Interplay
Sensors. 2022;22(22):8757
Validation and testing of learning models
Kernel Methods and Machine Learning. 2014;539-548