An improved machine learning model Shapley value-based to forecast demand for aquatic product supply chain

X Su, S Huang - Frontiers in Ecology and Evolution, 2023 - frontiersin.org
Previous machine learning models usually faced the problem of poor performance,
especially for aquatic product supply chains. In this study, we proposed a coupling machine …

Explainable Boosting Machine approach identifies risk factors for acute renal failure

A Körner, B Sailer, S Sari-Yavuz, HA Haeberle… - Intensive Care Medicine …, 2024 - Springer
Background Risk stratification and outcome prediction are crucial for intensive care resource
planning. In addressing the large data sets of intensive care unit (ICU) patients, we …

Detection of potential drug-drug interactions for risk of acute kidney injury: a population-based case-control study using interpretable machine-learning models

H Akimoto, T Hayakawa, T Nagashima… - Frontiers in …, 2023 - frontiersin.org
Background: Acute kidney injury (AKI), with an increase in serum creatinine, is a common
adverse drug event. Although various clinical studies have investigated whether a …

A risk prediction model for efficient intubation in the emergency department: A 4‐year single‐center retrospective analysis

H Ding, X Feng, Q Yang, Y Yang, S Zhu… - Journal of the …, 2024 - Wiley Online Library
Objective To analyze the risk factors associated with intubated critically ill patients in the
emergency department (ED) and develop a prediction model by machine learning …

OPEN ACCESS EDITED BY

E Van Puijenbroek, W Zhong, A Kumar… - … : Public Health and …, 2024 - books.google.com
Background: Recent studies have demonstrated that patients with type 2 diabetes mellitus
(T2DM) who receive metformin have a decreased risk of developing agerelated macular …