Results 171 to 180 of about 29,456 (261)

Prediction of Prevalent Cardiovascular Disease Using Social, Environmental, and Behavioral Factors: A Vital Conditions Framework Approach

Chronic Diseases and Translational Medicine, EarlyView.
The Vital Conditions Framework. Graphical representation of the Vital Conditions for Health Framework with seven domains. Images used with permission from The Rippel Foundation: An Introduction to the Vital Conditions for Health and Well‐Being. https://rippel.org/events/webinar-an-introduction-to-the-vital-conditions-for-health-and-well-being/. Federal
Stephanie Kjelstrom, Richard Hass, Robert Vollbrecht, Brandon George, Sharon Larson   +4 more
wiley   +1 more source

Explainable artificial intelligence for predicting mortality in geriatric patients undergoing hip arthroplasty: Machine learning analysis using national health insurance data. [PDF]

Medicine (Baltimore)
Seong H, Lee KS, Choi Y, Lee J, Kim T, Hong S, Shin HJ, Ahn KH.   +7 more
europepmc   +1 more source

Porous Carbon Materials for Carbon Dioxide Capture

Carbon Energy, EarlyView.
This work aims to address the current status and challenges associated with the regulation of pore structures, as well as the influence of pore structures on CO2 capture. Systematic quantitative analysis of structure–property relationships, combined with machine learning approaches, can effectively evaluate the contributions of structural ...
Zhifu Liu, Chuhan Fu, Tao Qi, Hui Zhou, Guangping Hao, Yalou Guo, Guoping Hu   +6 more
wiley   +1 more source

Evaluating non-linear thresholds and synergistic interactions in the comorbidity of preoperative insomnia and emergence agitation: a SHAP-based machine learning study. [PDF]

Front Neurol
Zhao J, Yu X, Zhang B, Wang M, Yang X.
europepmc   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source

Development of an interpretable machine learning model for predicting in-hospital mortality in ICU patients with sepsis: a retrospective cohort study. [PDF]

Front Med (Lausanne)
Zhao T, Wen K, Han X, Tan R, Wang Y, Du Q.   +5 more
europepmc   +1 more source

Demonstrating the Power of SHAP Values in AI-Driven Classification of Marvel Characters

Journal of Multimedia Information System
Ho-Woong Choi, Sardor Abdirayimov
openaire   +1 more source

Hybrid framework for on‐the‐fly diagnosis of energy inefficiency in multi‐unit processes based on data‐driven and knowledge‐based integration

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Pinpointing the true roots of energy waste in large, multi‐unit industrial systems is notoriously difficult: the data are high‐dimensional, and process units are tightly interlinked. This paper presents a powerful hybrid diagnostic framework that integrates explainable AI (XAI), Granger causality (GC), and fault tree analysis (FTA).
Mohamed El Koujok, Hakim Ghezzaz, Mouloud Amazouz   +2 more
wiley   +1 more source

A deep learning approach to county-level soybean yield forecasting using large-scale environmental data. [PDF]

Front Artif Intell
Chen B, Zhang W.
europepmc   +1 more source