Results 91 to 100 of about 2,762 (131)

Predicting Clinical Outcomes in COVID-19 and Pneumonia Patients: A Machine Learning Approach. [PDF]

Viruses
Cai K, Wang Z, Yang X, Fu W, Zhao X.
europepmc   +1 more source

Optimization of Device-Free Localization with Springback Dual Models: A Synthetic and Analytical Framework. [PDF]

Sensors (Basel)
Li J, Tan B, Qin Y, Mo Y.
europepmc   +1 more source

Fibrosis and inflammatory activity diagnosis of chronic hepatitis C based on extreme learning machine. [PDF]

Sci Rep
Cai J, Chen T, Qi Y, Liu S, Chen R.
europepmc   +1 more source

Resting-State Functional Connectivity Predicts Attention Problems in Children: Evidence from the ABCD Study. [PDF]

NeuroSci
Duffy KA, Helwig NE.
europepmc   +1 more source

Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with Missing Data. [PDF]

Entropy (Basel)
Sha X, Zhao P, Tang N.
europepmc   +1 more source

scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification. [PDF]

Brief Bioinform
Zhou M, Luo Z, Yin YH, Liu Q, Wang G, Zhao Y.   +5 more
europepmc   +1 more source

Spatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi-Varying Coefficient Models With Structure Identification. [PDF]

J Time Ser Anal
Gu Z, Li X, Wang G, Wang L.
europepmc   +1 more source

Is Seeing Believing? A Practitioner's Perspective on High-Dimensional Statistical Inference in Cancer Genomics Studies. [PDF]

Entropy (Basel)
Fan K, Subedi S, Yang G, Lu X, Ren J, Wu C.   +5 more
europepmc   +1 more source

Development and validation of a machine learning model for diagnosis of ischemic heart disease using single-lead electrocardiogram parameters. [PDF]

World J Cardiol
Marzoog BA, Chomakhidze P, Gognieva D, Silantyev A, Suvorov A, Abdullaev M, Mozzhukhina N, Filippova DA, Kostin SV, Kolpashnikova M, Ershova N, Ushakov N, Mesitskaya D, Kopylov P.   +13 more
europepmc   +1 more source

A non-negative spike-and-slab lasso generalized linear stacking prediction modeling method for high-dimensional omics data. [PDF]

BMC Bioinformatics
Shen J, Wang S, Dong Y, Sun H, Wang X, Tang Z.   +5 more
europepmc   +1 more source