Results 151 to 160 of about 19,319 (259)

The High‐Sensitivity C‐Reactive Protein−Albumin−Lymphocyte Index Is a Prognostic Marker for All‐Cause and Cardiovascular Mortality in Patients With ST‐Elevation Myocardial Infarction

open access: yesCatheterization and Cardiovascular Interventions, EarlyView.
ABSTRACT Background Inflammation and immune dysfunction may worsen the prognosis of patients with ST‐segment elevation myocardial infarction (STEMI). Aims This study aimed to assess whether the high‐sensitivity C‐reactive protein–albumin–lymphocyte index (hsCALLYI) could be used to predict the prognosis of STEMI patients who received emergency ...
Xinuo Ma   +8 more
wiley   +1 more source

SPARCC: Semi-Parametric Robust Estimation in a Right-Censored Covariate Model. [PDF]

open access: yesJ Am Stat Assoc
Lee SH   +4 more
europepmc   +1 more source

Single‐Cell Profiling Reveals Distinct Immune Hallmarks in Untreated Primary Colorectal and Liver Metastasis Cancers

open access: yesChronic Diseases and Translational Medicine, EarlyView.
Features the major cell type compositions among colon and liver metastasis. (A) The study design for single‐cell data analysis. (B) The annotated major cell types. Each type was labeled with a special color. (C) Dot plot of canonical marker genes for major cell types. (D) Bar plot of the percentage for each cell type in individuals. (E) Bar plot of the
Zhixun Zhao   +10 more
wiley   +1 more source

Causal K-Means Clustering. [PDF]

open access: yesJ R Stat Soc Series B Stat Methodol
Kim K, Kim J, Kennedy EH.
europepmc   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall   +3 more
wiley   +1 more source

A two-stage GAN-based instrumental variable method for causal analysis of omics data. [PDF]

open access: yesBrief Bioinform
Zhou Y   +7 more
europepmc   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin   +2 more
wiley   +1 more source

Partial identification with categorical data and nonignorable missing outcomes

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley   +1 more source

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