#9 An empirical study of the effect of background data size on the stability of SHapley Additive exPlanations (SHAP) for deep learning models
Published in arXiv, 2022
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Publications
#8 AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
Published in Journal of Biomedical Informatics, 2022
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#7 Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
Published in Journal of Biomedical Informatics, 2021
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#6 Package AutoScore
Published in R Package, 2021
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#5 AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data
Published in Journal of Biomedical Informatics, 2021
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#4 Prediction of adverse drug reaction using machine learning and deep learning based on an imbalanced electronic medical records dataset
Published in Proceedings of the International Conference on Medical and Health Informatics, 2021
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#3 TRIM37 orchestrates renal cell carcinoma progression via histone H2A ubiquitination-dependent manner
Published in Journal of Experimental & Clinical Cancer Research, 2021
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#2 Effect of enhanced recovery after surgery on postoperative recovery and quality of life in patients undergoing laparoscopic partial nephrectomy
Published in Frontiers in Oncology, 2020
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#1 Alternatives to the Kaplan-Meier estimator of progression-free survival
Published in The International Journal of Biostatistics, 2020
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