AIMC Topic: Age Factors

Clear Filters Showing 321 to 330 of 366 articles

Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images.

Diagnostic and interventional radiology (Ankara, Turkey) Jan 1, 2021
PURPOSE: Chest X-ray plays a key role in diagnosis and management of COVID-19 patients and imaging features associated with clinical elements may assist with the development or validation of automated image analysis tools. We aimed to identify associ...
Humans COVID-19 Retrospective Studies Female SARS-CoV-2 Deep Learning Age Factors Italy Radiologists Feasibility Studies Radiography, Thoracic Thorax Aged Adult Male Middle Aged Comorbidity Severity of Illness Index
View on PubMed DOI

Machine-learning prediction of unplanned 30-day rehospitalization using the French hospital medico-administrative database.

Medicine Dec 4, 2020
Predicting unplanned rehospitalizations has traditionally employed logistic regression models. Machine learning (ML) methods have been introduced in health service research and may improve the prediction of health outcomes. The objective of this work...
Patient Readmission France Socioeconomic Factors Health Status Age Factors Emergency Service, Hospital Tertiary Care Centers Algorithms Humans Sex Factors Retrospective Studies Machine Learning Female Male Comorbidity Severity of Illness Index ROC Curve
View on PubMed DOI

Machine Learning Classifier Models Can Identify Acute Respiratory Distress Syndrome Phenotypes Using Readily Available Clinical Data.

American journal of respiratory and critical care medicine Oct 1, 2020
Two distinct phenotypes of acute respiratory distress syndrome (ARDS) with differential clinical outcomes and responses to randomly assigned treatment have consistently been identified in randomized controlled trial cohorts using latent class analys...
Humans Machine Learning Age Factors Respiratory Distress Syndrome Randomized Controlled Trials as Topic Tidal Volume Blood Pressure Area Under Curve Interleukin-8 Phenotype Interleukin-6 Prognosis Biomarkers, Tumor Latent Class Analysis Inflammation Leukocyte Count Receptors, Tumor Necrosis Factor, Type I Partial Pressure Protein C Platelet Count Bilirubin Pulmonary Ventilation Vital Signs Oxygen Serum Albumin Intercellular Adhesion Molecule-1 Mortality Creatinine Bicarbonates Vasoconstrictor Agents Carbon Dioxide Plasminogen Activator Inhibitor 1
View on PubMed DOI

Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?

Clinical orthopaedics and related research Sep 1, 2020
BACKGROUND: Revision TKA is a serious adverse event with substantial consequences for the patient. As the demand for TKA rises, reducing the risk of revision TKA is becoming increasingly important. Predictive tools based on machine-learning algorithm...
Arthroplasty, Replacement, Knee Reoperation Preoperative Period Osteoarthritis, Knee Knee Injuries Postoperative Complications Age Factors Denmark Predictive Value of Tests Registries Body Weight Humans Machine Learning Algorithms Female Risk Factors Aged Adult Male Middle Aged Risk Assessment
View on PubMed DOI

A Novel Machine Learning Model Developed to Assist in Patient Selection for Outpatient Total Shoulder Arthroplasty.

The Journal of the American Academy of Orthopaedic Surgeons Jul 1, 2020
INTRODUCTION: Patient selection for outpatient total shoulder arthroplasty (TSA) is important to optimizing patient outcomes. This study aims to develop a machine learning tool that may aid in patient selection for outpatient total should arthroplast...
Sex Factors Outpatients Arthroplasty, Replacement, Shoulder Comorbidity Length of Stay ROC Curve Forecasting Logistic Models Decision Support Techniques Treatment Outcome Female Age Factors Humans Aged Patient Selection Pulmonary Disease, Chronic Obstructive Machine Learning Male
View on PubMed DOI

Machine Learning and Mechanistic Modeling for Prediction of Metastatic Relapse in Early-Stage Breast Cancer.

JCO clinical cancer informatics Mar 1, 2020
PURPOSE: For patients with early-stage breast cancer, predicting the risk of metastatic relapse is of crucial importance. Existing predictive models rely on agnostic survival analysis statistical tools (eg, Cox regression). Here we define and evaluat...
Adult Survival Rate Breast Neoplasms Biomarkers, Tumor Machine Learning Predictive Value of Tests Humans Middle Aged Algorithms Neoplasm Staging Age Factors Computer Simulation Neoplasm Recurrence, Local Female Tumor Burden Aged Neoplasm Metastasis Aged, 80 and over Young Adult
View on PubMed DOI

Development of a periodontitis risk assessment model for primary care providers in an interdisciplinary setting.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2020
BACKGROUND: Periodontitis (PD), a form of gum disease, is a major public health concern as it is globally prevalent and harms both individual quality of life and economic productivity. Global cost in lost productivity is estimated at US$54 billion an...
Young Adult Adult Male Middle Aged Comorbidity Primary Health Care Decision Support Systems, Clinical Logistic Models Socioeconomic Factors Support Vector Machine Age Factors Lipids Periodontitis Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies Female Blood Pressure Aged Bayes Theorem Aged, 80 and over Sex Factors Body Weights and Measures Oral Hygiene
View on PubMed DOI

A Machine Learning-Based Triage Tool for Children With Acute Infection in a Low Resource Setting.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Dec 1, 2019
OBJECTIVES: To deploy machine learning tools (random forests) to develop a model that reliably predicts hospital mortality in children with acute infections residing in low- and middle-income countries, using age and other variables collected at hosp...
Hospital Mortality Age Factors Triage Developing Countries Child Mortality Sex Factors Infections Infant Severity of Illness Index Adolescent Rwanda Child, Preschool Humans Child Machine Learning Prospective Studies Prognosis Female Vital Signs Male
View on PubMed DOI

Machine Learning Approach for Predicting Past Environmental Exposures From Molecular Profiling of Post-Exposure Human Serum Samples.

Journal of occupational and environmental medicine Dec 1, 2019
OBJECTIVE: To develop an approach for a retrospective analysis of post-exposure serum samples using diverse molecular profiles.
Mice, Inbred C57BL Cotinine Environmental Exposure Adult Sex Factors Animals Smoking Male Tobacco Smoke Pollution Adolescent Support Vector Machine Humans Age Factors Machine Learning Disease Models, Animal Biomarkers Female Young Adult
View on PubMed DOI

Artificial Intelligence Estimates the Importance of Baseline Factors in Predicting Response to Anti-PD1 in Metastatic Melanoma.

American journal of clinical oncology Aug 1, 2019
OBJECTIVE: Prognosis of patients with metastatic melanoma has dramatically improved over recent years because of the advent of antibodies targeting programmed cell death protein-1 (PD1). However, the response rate is ~40% and baseline biomarkers for ...
Age Factors Mucous Membrane Programmed Cell Death 1 Receptor L-Lactate Dehydrogenase Lymphocyte Count Neoplasms, Unknown Primary Uveal Neoplasms Skin Neoplasms Aged Survival Rate Humans Male Neural Networks, Computer Middle Aged Forecasting Treatment Outcome Retrospective Studies Neutrophils Female Melanoma
View on PubMed DOI
Popular Topics
Recent Journals