Results 101 to 110 of about 2,451,188 (298)
An AI‐enabled digital twin framework integrates wearable EMG sensing with hierarchical multi‐domain fusion to classify chronic ankle instability, distinguish clinically relevant subtypes, and generate continuous motor function scores. Clinically interpretable functional stratification and SHAP‐based biomarker analysis provide transparent decision ...
Tianle Jie +12 more
wiley +1 more source
Ordinal regression Part 1: Introduction
In this video, Dr Heini Väisänen introduces the method of ordinal regression and explains when to use it and what kind of variables are needed when used.
Väisänen, Heini
core +1 more source
ENSEMBLE BAGGING WITH ORDINAL LOGISTIC REGRESSION TO CLASSIFY TODDLER NUTRITIONAL STATUS
One problem in classifying stunting data is that the data used does not have a balanced proportion. This study aims to apply the logistic regression classification method with ordinal scale response variables to overcome class imbalance through the ...
Luthfia Hanun Yuli Arini +3 more
doaj +1 more source
OSNR Monitoring Using Support Vector Ordinal Regression for Digital Coherent Receivers
An OSNR monitoring method assisted by support vector ordinal regression (SVOR) is proposed for digital coherent receivers. According to Godard's error of equalized signals obtained after polarization demultiplexing, the optical signal-to-noise ...
Ming Hao +6 more
doaj +1 more source
An integrated proteogenomic analysis of 44,137 predominantly European‐ancestry UK Biobank participants aged 40–69 years identifies 12 robust proteins associated with idiopathic pulmonary arterial hypertension. These proteins define a high‐mortality molecular endotype, support early detection and mortality prediction, reveal sex‐differential proteomic ...
Xinjie Lin +18 more
wiley +1 more source
STUDENT SATISFACTION ANALYSIS WITH GENETIC ALGORITHM-BASED DATA AUGMENTATION AND REGRESSION MODELS [PDF]
Student satisfaction plays an important role in determining the quality, retention, and reputation of an institution. However, limited survey data can reduce the accuracy of predictive models.
P. Priyadarshini, K.T. Veeramanju
doaj +1 more source
Towards a Compositional Framework for Describing Human Phenotypes
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu +11 more
wiley +1 more source
Ordinal logistic regression [PDF]
Koletsi D, Pandis N
openaire +3 more sources
Calibration of Ordinal Regression Networks
Recent studies have shown that deep neural networks are not well-calibrated and often produce over-confident predictions. The miscalibration issue primarily stems from using cross-entropy in classifications, which aims to align predicted softmax probabilities with one-hot labels.
Daehwan Kim, Haejun Chung, Ikbeom Jang
openaire +2 more sources
Sarbecovirus ORF9b recruits host phosphatase PPM1A to suppress innate immunity through dual mechanisms. PPM1A directly dephosphorylates ORF9b to sustain its activity and indirectly downregulates STAT2 phosphorylation to impair interferon signaling. Pharmacological inhibition of PPM1A restores antiviral responses and limits sarbecovirus replication ...
Lixiang Xie +24 more
wiley +1 more source

