Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Han Wu, Wenjie Ruan, Jiangtao Wang 0001, Dingchang Zheng, Bei Liu, Yayuan Geng, Xiangfei Chai, Jian Chen, Kunwei Li, Shaolin Li, Sumi Helal. Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task. IEEE Trans. Artif. Intell., 4(4):764-777, 2023. [doi]

This author has not been identified. Look up 'Han Wu' in GoogleThis author has not been identified. Look up 'Wenjie Ruan' in GoogleThis author has not been identified. Look up 'Jiangtao Wang 0001' in GoogleThis author has not been identified. Look up 'Dingchang Zheng' in GoogleThis author has not been identified. Look up 'Bei Liu' in GoogleThis author has not been identified. Look up 'Yayuan Geng' in GoogleThis author has not been identified. Look up 'Xiangfei Chai' in GoogleThis author has not been identified. Look up 'Jian Chen' in GoogleThis author has not been identified. Look up 'Kunwei Li' in GoogleThis author has not been identified. Look up 'Shaolin Li' in GoogleThis author has not been identified. Look up 'Sumi Helal' in Google

runs on WebDSL