Interpretability of an FDA-authorized AI/ML sepsis diagnostic tool improved by SHAP values
SHAP值提高了FDA授权的AI/ML脓毒症诊断工具的可解释性。
期刊:JAMIA Open
影响因子:3.4
doi:10.1093/jamiaopen/ooag020
Watson, Gregory L; Staples, Grace; Carver, Robin; Bhargava, Akhil; López-Espina, Carlos; Schmalz, Lee; Ali, Farhan; Antkowiak, Peter S; Azad, Saleem; Berghea, Ramona; Chawla, Lavneet; Crisp, Matthew; Dagan, Alon; Davila, Francisco; Davila, Hugo; DeMarco, Carmen; Doodlesack, Amanda; Espinosa, Aimee; Evans, Neil S; Ezekiel, Clinton; Friederich, Andrew; Gosai, Falgun; Halalau, Alexandra; Iyer, Karthik; Kravitz, Max S; Kurtzman, Niko; Lee, John H; Maddens, Nicholas; Malkani, Roneil; Mayer, Stockton; Oke, Vikram; Palagiri, Ashok V; Patel, Roshni; Raghavakurup, Lekshminarayan; Raouf, Samuel; Reseland, Eric; Sadaka, Farid; Sarma, Deesha; Smith, Scott; Shvilkina, Tatyana; Sims, Matthew D; Singh, Sahib; Stenson, Bryan A; Syed, Anwaruddin; Tafa, Muleta; Thomas, Kurian; Zhao, Sihai Dave; Zhu, Ruoqing; Bashir, Rashid; Reddy, Bobby Jr; Shapiro, Nathan I