Results 61 to 70 of about 3,845,402 (316)

Perceived stress level is associated with coronary artery disease severity in patients with ST-segment elevation myocardial infarction

open access: yesTürk Kardiyoloji Derneği Arşivi, 2020
Objective: Stress is known to be a significant risk factor for coronary atherosclerosis and adverse cardiovascular events; however, the stress-related coronary atherosclerotic burden has not yet been investigated. The aim of this study was to investigate
Serkan Kahraman   +10 more
doaj   +1 more source

A Risk-Stratification Machine Learning Framework for the Prediction of Coronary Artery Disease Severity: Insights From the GESS Trial

open access: yesFrontiers in Cardiovascular Medicine, 2022
Our study aims to develop a data-driven framework utilizing heterogenous electronic medical and clinical records and advanced Machine Learning (ML) approaches for: (i) the identification of critical risk factors affecting the complexity of Coronary ...
Nikolaos Mittas   +16 more
doaj   +1 more source

SYNTAX score and Clinical SYNTAX score as predictors of very long-term clinical outcomes in patients undergoing percutaneous coronary interventions: a substudy of SIRolimus-eluting stent compared with pacliTAXel-eluting stent for coronary revascularization (SIRTAX) trial [PDF]

open access: yes, 2017
Aims To investigate the ability of SYNTAX score and Clinical SYNTAX score (CSS) to predict very long-term outcomes in an all-comers population receiving drug-eluting stents.
Garcia-Garcia, Hector M.   +8 more
core  

lassopack: Model selection and prediction with regularized regression in Stata [PDF]

open access: yes, 2019
This article introduces lassopack, a suite of programs for regularized regression in Stata. lassopack implements lasso, square-root lasso, elastic net, ridge regression, adaptive lasso and post-estimation OLS.
Athey S.   +6 more
core   +2 more sources

Prognostic Value of SYNTAX Score in Patients With Infarct-Related Cardiogenic Shock: Insights From the CULPRIT-SHOCK Trial.

open access: yesJACC: Cardiovascular Interventions, 2020
OBJECTIVES This study sought to evaluate the prognostic value of the SYNTAX (SYNergy between PCI with TAXUS and Cardiac Surgery) scores in patients undergoing percutaneous coronary intervention (PCI) for multivessel coronary disease with infarct-related ...
P. Guedeney   +16 more
semanticscholar   +1 more source

ALKBH3 m1A Demethylase Deficiency Reduces Alzheimer's Amyloid‐β Pathology

open access: yesAdvanced Science, EarlyView.
This study identifies that ALKBH3‐driven m1A demethylation orchestrates Alzheimer's disease progression by disrupting mitochondrial and synaptic homeostasis. This epitranscriptomic mechanism suppresses PINK1‐mediated mitophagy via m1A erasure, leading to mitochondrial dysfunction, oxidative stress, elevated Aβ production, and impaired microglial ...
Yueyang Li   +25 more
wiley   +1 more source

Which Biology Marker Can be a Predictor for Higher Syntax Score?

open access: yesIndonesian Biomedical Journal, 2014
BACKGROUND: Syntax score is a lesion-based angiographic scoring system, originally devised to grade the anatomic complexity of coronary artery disease (CAD) and thereby facilitate consensus in the study of a diagnostic angiogram between surgeons and ...
Linda Lison   +5 more
doaj   +1 more source

Symbolic Maximum Likelihood Estimation with Mathematica [PDF]

open access: yes, 1999
Mathematica is a symbolic programming language that empowers the user to undertake complicated algebraic tasks. One such task is the derivation of maximum likelihood estimators, demonstrably an important topic in statistics at both the research and ...
Rose, Colin, Smith, Murray D.
core   +2 more sources

Correlation between global longitudinal strain and SYNTAX score in coronary artery disease evaluation

open access: yesEgyptian Heart Journal, 2020
Speckle tracking echocardiography may allow the evaluation of myocardial systolic and diastolic dynamics across different physiologic and pathologic conditions beyond traditional echocardiographic techniques.
Gomaa Abdelrazek   +2 more
semanticscholar   +1 more source

The Role of Artificial Intelligence in Medication Management for Older Adults: A Systematic Review

open access: yesAGING MEDICINE, EarlyView.
Artificial intelligence enhances medication management for older adults by improving adherence, personalizing treatment, and predicting risks. Despite benefits, challenges remain in usability, trust, ethics, and system integration. Successful adoption requires user‐centered design, ethical safeguards, and seamless healthcare integration to ensure safe,
Dipak Chandra Das   +9 more
wiley   +1 more source

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