This study uses gut microbiome data to predict corticosteroid response in patients with immune thrombocytopenia (ITP). Fecal samples from 212 patients with ITP are sequenced. Six machine‐learning algorithms are used to train predictive models. The support vector machine‐based model integrated clinical data and selected microbial species, diversities ...
Feng‐Qi Liu+38 more
wiley +1 more source
Multivariate Time-Series Classification Using the Hidden-Unit Logistic Model
Wenjie Pei+3 more
semanticscholar +1 more source
Author Correction: Early pregnancy ultrasound measurements and prediction of first trimester pregnancy loss: A logistic model. [PDF]
Detti L+6 more
europepmc +1 more source
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao+14 more
wiley +1 more source
Study on Demand Estimation of Agricultural Machinery by Using Logistic Curve Function and Markov Chain Model [PDF]
Yeongchae Yun
openalex +1 more source
STMIGCL is an implicit contrastive learning‐based multi‐view graph convolutional network framework designed for downstream tasks such as spatial domain recognition, trajectory inference, and spatially variable gene identification. By combining multi‐view learning with contrastive learning and employing contrastive learning methods that enhance contrast
Sheng Ren+5 more
wiley +1 more source
Logistic regression and artificial neural network classification models: a methodology review
Stephan Dreiseitl, Lucila Ohno‐Machado
openalex +1 more source
An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation [PDF]
Christopher S. Coffey+8 more
openalex +1 more source
Label‐Free Dual‐Modal Photoacoustic/Ultrasound Localization Imaging for Studying Acute Kidney Injury
This work develops a 3D label‐free photoacoustic/super‐resolution ultrasound imaging system as a comprehensive non‐invasive tool for acute kidney injury (AKI) study. This technique visualizes the intricate structure of renal microvessels and provides critical physiological insights, including renal hemodynamics and oxygenation.
Shensheng Zhao+5 more
wiley +1 more source
Exploratory analysis of COVID-19 propagation using logistic model. [PDF]
Zhang X, Da C, Ye W.
europepmc +1 more source