Results 231 to 240 of about 29,055 (302)

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

Journal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu, Jie Shi, Fengjuan Wang, Liang Ma, Huangang Hu, Li Zhang, Jie Song, Heng Jin, Dingwei Yang, Xiaoqin Guo, Haojun Fan, Qi Lv   +11 more
wiley   +1 more source

Explainable machine-learning model for coronary artery disease diagnosis in non-AMI patients: integrating inflammatory and traditional risk factors. [PDF]

Open Heart
Yang K, Liu S, Wang C, Ni S, Bi L, Yang Y, Zhang M.   +6 more
europepmc   +1 more source

Decadal Changes of UV Aerosol Optical Depth in Hobart, Australia Measured With a Brewer MKIII: Relationship to Bushfire Events and Climate Indices

International Journal of Climatology, EarlyView.
Monthly average aerosol optical depth at 320 nm obtained with a Brewer MKIII spectrophotometer for Hobart, Australia (42.8806° S, 147.3250° E) over a 21‐year period. There is a linear trend of 15.4% per decade. There are 9 months when the average aerosol optical depth exceeds twice the monthly standard deviation.
Manuel Nuñez, Antonio Serrano, Peter Love, Nels Larson   +3 more
wiley   +1 more source

Machine Learning-Based Radiopatho-Clinical Model Integrating Ultrasound Radiomics and Kleiner Score for Prognosis Prediction in NAFLD-Related Hepatocellular Carcinoma. [PDF]

J Hepatocell Carcinoma
Li CL, Jia Z, Yao ZY, Cui XT, Sun A, Hao AY, Chen ZY, Chen F, Cao JY, Wang ZS.   +9 more
europepmc   +1 more source

Charting the Evolution of Open Data Business Models: Insights From a Systematic Review and Thematic Analysis of a Decade

Strategic Change, EarlyView.
ABSTRACT This article presents a decade of research on Open Data Business Models (ODBM), aiming to identify conceptual gaps, categorize thematic trends, and propose an integrative framework. This paper, based on a systematic literature review (SLR) of 60 peer‐reviewed studies, develops a coherent framework that explains how ODBMs are formed, adapted ...
Saeed Rouhani, Ali Dehghanpir, Hannan Amoozad Mahdiraji, Demetris Vrontis   +3 more
wiley   +1 more source

Development and validation of a diagnostic model for malignant pleural effusion based on random forest. [PDF]

J Thorac Dis
Guo X, Wei XL, Yin SM, Li YP, Zhai K, Shi HZ, Wang Z.   +6 more
europepmc   +1 more source

AI‐Driven Risk Governance for SMEs: From Predictive Analytics to Strategic Competitiveness

Strategic Change, EarlyView.
ABSTRACT Small and medium‐sized enterprises (SMEs) remain highly exposed to financial distress due to limited resources, volatile markets, and governance constraints. Traditional risk management often lacks a strategic and anticipatory orientation, highlighting the need for risk governance frameworks that integrate forecasting and adaptability.
Davide Liberato lo Conte, Giuseppe Sancetta, Nicola Cucari, Octavio Escobar   +3 more
wiley   +1 more source

Machine Learning-Based Prediction Model for 30-Day Emergency Department Revisits in a Medically Underserved Tertiary Hospital: Formative Retrospective Cohort Study. [PDF]

JMIR Form Res
Sun K.
europepmc   +1 more source

Molecular descriptor driven QSPR modeling of Papp, TEER and Efflux Ratio from Caco‐2 cells using machine learning for various phytochemicals

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND The present study aimed to develop and validate quantitative structure–property relationship (QSPR) models for predicting permeability related bioavailability indicators including apparent permeability (Papp), trans‐epithelial electrical resistance (TEER) and efflux ratio (ER) based on molecular descriptors (n = 5003) of 83 ...
Jin‐Woo Kim, Rixing Cong, Jin‐Soo Park, Keunwan Park, Kyungsu Kang, Soon‐Mi Shim   +5 more
wiley   +1 more source

Interpretability of an FDA-authorized AI/ML sepsis diagnostic tool improved by SHAP values. [PDF]

JAMIA Open
Watson GL, Staples G, Carver R, Bhargava A, López-Espina C, Schmalz L, Ali F, Antkowiak PS, Azad S, Berghea R, Chawla L, Crisp M, Dagan A, Davila F, Davila H, DeMarco C, Doodlesack A, Espinosa A, Evans NS, Ezekiel C, Friederich A, Gosai F, Halalau A, Iyer K, Kravitz MS, Kurtzman N, Lee JH, Maddens N, Malkani R, Mayer S, Oke V, Palagiri AV, Patel R, Raghavakurup L, Raouf S, Reseland E, Sadaka F, Sarma D, Smith S, Shvilkina T, Sims MD, Singh S, Stenson BA, Syed A, Tafa M, Thomas K, Zhao SD, Zhu R, Bashir R, Reddy B, Shapiro NI.   +50 more
europepmc   +1 more source