Results 111 to 120 of about 447 (169)

Generative Distribution Prediction: A Unified Approach to Multimodal Learning. [PDF]

Mach Learn
Tian X, Shen X.
europepmc   +1 more source

Development and validation of a risk stratification model for sarcopenia in patients with chronic lung disease: a cross-sectional study based on CHARLS data. [PDF]

BMJ Open Respir Res
Pang L, Xu S, Zhong B, Huang T, Xian Q, Yang C, Lin W, Pang H, Chen Z, Miao H, Wang Y, Chen H, Sun X, Sun J.   +13 more
europepmc   +1 more source

Development and validation of an explainable machine learning prediction model for futile recanalization after mechanical thrombectomy in acute large vessel occlusion stroke. [PDF]

J Neurointerv Surg
Zhao Y, Wang XC, Liu Y, Guo Z, Hou J, Wang H, Yu S, Xu J, Du J, Xiao G.   +9 more
europepmc   +1 more source

Construction and validation of a risk prediction model for osteoporosis in COPD patients based on explainable machine learning. [PDF]

Medicine (Baltimore)
Chen J, Xu S, Xu S, He X, Sun X, Zhang Y, Wei W, Chen G.   +7 more
europepmc   +1 more source

A hybrid SAINT–NGBoost approach for stability assessment of cantilever flood walls in anisotropic clay

Natural Hazards Research
Nattakan Malai, Syaifulloh Qoimuddin Ali Basyah, Katavut Vichai, Raksiri Sukkarak, Suraparb Keawsawasvong   +4 more
openaire   +1 more source

Ransomware detection with machine learning methods

Günümüz dünyasında dijitalleşmenin artmasıyla birlikte siber tehditlerin kapsamı ve etkisi de önemli ölçüde genişlemiştir. Fidye yazılımları (ransomware), bu tehditler arasında hem bireyleri hem de kurumsal yapıları en fazla etkileyen zararlı yazılım ...
Kuzu, Engin
core  

Development of a venous thromboembolism risk prediction model for patients with primary membranous nephropathy based on machine learning. [PDF]

Front Pharmacol
Li L, Wu L, Wang Y, Wang H, Zheng X, Han L, Yin Q, Wu X, Bian Y.   +8 more
europepmc   +1 more source

Exploring the relationship between graft dysfunction with serum metabolites and inflammatory proteins: integrating Mendelian randomization, single-cell analysis, machine learning, and SHAP methods for comprehensive analysis. [PDF]

Ren Fail
Li J, Shui K, Peng L, Dai H, Peng F.
europepmc   +1 more source

A causal glycerophospholipid-IL-18R1-CD9 axis connects lipid metabolism and T-cell activation in atopic dermatitis. [PDF]

Brief Bioinform
Zhang PA, Wang JL, Qin RD, Song XN, Mo RK, Dong MH, Pan XY, Liu J, Wang WJ, Chen S, Li J.   +10 more
europepmc   +1 more source

PM2.5/PM10 Forecasting System with Benchmarking of 44 Machine Learning Algorithms and Ensemble Learning Approaches. [PDF]

Sensors (Basel)
Mamani-Suclla P, Villavicencio-Siu S, Arroyo-Paz A.   +2 more
europepmc   +1 more source