CN

Alvin Yao

E-Mail: 

Education Level: Doctor′s Degree graduated

Academic Titles: 助理研究员

Alma Mater: 曼彻斯特大学

Discipline: Systems Engineering

Achievements of The Thesis

Probabilistic modeling approach for interpretable inference and prediction with data for sepsis diagnosis

Release time:2023-08-08
Hits:

Impact Factor:8.5

DOI number:10.1016/j.eswa.2021.115333

Journal:Expert Systems with Applications

Place of Publication:UNITED STATES

Key Words:Sepsis diagnosis; Probabilistic modeling; Rule-based inference; Interpretability; Maximum likelihood; Evidential reasoning framework

Indexed by:Periodical papers

Document Code:115333

Discipline:Engineering

Document Type:J

Volume:183

ISSN No.:0957-4174

Translation or Not:no

Date of Publication:2021-06-05

Included Journals:SCI(E)

Links to published journals:https://www.sciencedirect.com/science/article/pii/S0957417421007624