Seyed Ehsan Saffari - researchr alias

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Viewing Publication 1 - 4 from 4

2023

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniquesMingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Yuqing Shang, Victor Volovici, Bibhas Chakraborty, Nan Liu 0003. artmed, 142:102587, August 2023. [doi]

2022

Application of the Truncated Zero-Inflated Double Poisson for Determining of the Effecting Factors on the Number of Coronary Artery StenosisArezoo Orooji, Toktam Sahranavard, Mohammad-Taghi Shakeri, Mohammad Tajfard, Seyed Ehsan Saffari. cmmm, 2022, 2022. [doi]

AutoScore-Ordinal: An Interpretable Machine Learning Framework for Generating Scoring Models for Ordinal OutcomesSeyed Ehsan Saffari, Yilin Ning, Feng Xie, Bibhas Chakraborty, Victor Volovici, Roger Vaughan, Marcus Eng Hock Ong, Nan Liu 0003. amia 2022: [doi]

AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events dataHan Yuan, Feng Xie, Marcus Eng Hock Ong, Yilin Ning, Marcel Lucas Chee, Seyed Ehsan Saffari, Hairil Rizal Abdullah, Benjamin Alan Goldstein, Bibhas Chakraborty, Nan Liu 0003. jbi, 129:104072, 2022. [doi]

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