AI Medical Compendium Topic:
Risk Factors

Clear Filters Showing 541 to 550 of 2308 articles

Enhanced machine learning models for predicting one-year mortality in individuals suffering from type A aortic dissection.

The Journal of thoracic and cardiovascular surgery Sep 18, 2024
OBJECTIVE: The study objective was to develop and validate an interpretable machine learning model to predict 1-year mortality in patients with type A aortic dissection, improving risk classification and aiding clinical decision-making.
Humans Predictive Value of Tests Aged Machine Learning Aortic Dissection Male Retrospective Studies Decision Support Techniques Aortic Aneurysm Middle Aged Clinical Decision-Making Prognosis Risk Assessment Female Time Factors Risk Factors
View on PubMed DOI

Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis.

JACC. Cardiovascular imaging Sep 18, 2024
BACKGROUND: The development and progression of aortic stenosis (AS) from aortic valve (AV) sclerosis is highly variable and difficult to predict.
Sclerosis Middle Aged Risk Assessment Aortic Valve Risk Factors Humans Disease Progression Deep Learning Predictive Value of Tests Aged Prognosis Severity of Illness Index Time Factors Ventricular Dysfunction, Left Male Female United States Diastole Ventricular Function, Left Calcinosis Reproducibility of Results Echocardiography Aortic Valve Stenosis
View on PubMed DOI

Development and validation of a machine learning-based framework for assessing metabolic-associated fatty liver disease risk.

BMC public health Sep 18, 2024
BACKGROUND: The existing predictive models for metabolic-associated fatty liver disease (MAFLD) possess certain limitations that render them unsuitable for extensive population-wide screening. This study is founded upon population health examination ...
Adult Male Middle Aged Risk Assessment China Non-alcoholic Fatty Liver Disease Machine Learning Algorithms Female Risk Factors Aged Humans
View on PubMed DOI

Evaluation and analysis of risk factors for adverse events of the fractured vertebra post-percutaneous kyphoplasty: a retrospective cohort study using multiple machine learning models.

Journal of orthopaedic surgery and research Sep 18, 2024
BACKGROUND: Adverse events of the fractured vertebra (AEFV) post-percutaneous kyphoplasty (PKP) can lead to recurrent pain and neurological damage, which considerably affect the prognosis of patients and the quality of life. This study aimed to analy...
Humans Machine Learning Fractures, Compression Male Retrospective Studies Middle Aged Kyphoplasty Female Postoperative Complications Osteoporotic Fractures Risk Factors Cohort Studies Aged Spinal Fractures Aged, 80 and over
View on PubMed DOI

A Machine Learning Approach to Concussion Risk Estimation Among Players Exhibiting Visible Signs in Professional Hockey.

Sports medicine (Auckland, N.Z.) Sep 17, 2024
BACKGROUND: The identification of concussion risk factors, such as visible signs and mechanisms of injury, improves concussion identification. Exploring individual risk factors, such as concussion history, may help to improve existing concussion risk...
Humans Machine Learning Risk Factors Male Risk Assessment Logistic Models Brain Concussion Hockey Athletic Injuries
View on PubMed DOI

Application of machine learning algorithms to predict postoperative surgical site infections and surgical site occurrences following inguinal hernia surgery.

Hernia : the journal of hernias and abdominal wall surgery Sep 17, 2024
PURPOSE: This study aimed to develop, validate, and evaluate machine learning (ML) algorithms for predicting Surgical site infections (SSI) and surgical site occurrences (SSO) after elective open inguinal hernia surgery.
Surgical Wound Infection Antibiotic Prophylaxis Herniorrhaphy Hernia, Inguinal Retrospective Studies Female Risk Factors Aged Adult Male Middle Aged Risk Assessment Predictive Value of Tests Humans Machine Learning Algorithms
View on PubMed DOI

Unsupervised Machine Learning to Identify Risk Factors of Pyeloplasty Failure in Ureteropelvic Junction Obstruction.

Journal of endourology Sep 17, 2024
In adult patients with ureteropelvic junction obstruction (UPJO), little data exist on predicting pyeloplasty outcome, and there is no unified definition of pyeloplasty success. As such, defining pyeloplasty success retrospectively is particularly v...
Humans Retrospective Studies Female Risk Factors Aged Unsupervised Machine Learning Treatment Failure Kidney Pelvis Adult Ureteral Obstruction Male Urologic Surgical Procedures Middle Aged Cluster Analysis
View on PubMed DOI

A hybrid approach for modeling bicycle crash frequencies: Integrating random forest based SHAP model with random parameter negative binomial regression model.

Accident; analysis and prevention Sep 16, 2024
To effectively capture and explain complex, nonlinear relationships within bicycle crash frequency data and account for unobserved heterogeneity simultaneously, this study proposes a new hybrid framework that combines the Random Forest-based SHapley ...
London Bicycling Regression Analysis Bayes Theorem Random Forest Accidents, Traffic Humans Machine Learning Algorithms Risk Factors Support Vector Machine Models, Statistical
View on PubMed DOI

A calculator for musculoskeletal injuries prediction in surgeons: a machine learning approach.

Surgical endoscopy Sep 16, 2024
BACKGROUND: Surgical specialists experience significant musculoskeletal strain as a consequence of their profession, a domain within the healthcare system often recognized for the pronounced impact of such issues. The aim of this study is to calculat...
Musculoskeletal Pain Spain Occupational Diseases Occupational Injuries Machine Learning Female Risk Factors Adult Humans Cross-Sectional Studies Male Surgeons Middle Aged Risk Assessment
View on PubMed DOI

Quality of birth care and risk factors of length of stay after birth: A machine learning approach.

The journal of obstetrics and gynaecology research Sep 16, 2024
AIM: Length of stay (LOS) is an outcome measure and is assumed to be related to quality. The objective of this study is to examine the quality of birth care and risk factors associated with LOS after birth.
Humans Machine Learning Pregnancy Female Risk Factors Adolescent Turkey Quality of Health Care Delivery, Obstetric Young Adult Adult Middle Aged Length of Stay
View on PubMed DOI
Popular Topics
Recent Journals