AIMC Topic: Middle Aged

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Predicting the risk of pulmonary embolism in patients with tuberculosis using machine learning algorithms.

European journal of medical research Dec 23, 2024
BACKGROUND: This study aimed to develop predictive models with robust generalization capabilities for assessing the risk of pulmonary embolism in patients with tuberculosis using machine learning algorithms.
Humans Machine Learning Algorithms Tuberculosis Male Female Middle Aged Risk Factors Risk Assessment Aged Pulmonary Embolism Adult
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Predicting upper limb motor recovery in subacute stroke patients via fNIRS-measured cerebral functional responses induced by robotic training.

Journal of neuroengineering and rehabilitation Dec 23, 2024
BACKGROUND: Neural activation induced by upper extremity robot-assisted training (UE-RAT) helps characterize adaptive changes in the brains of poststroke patients, revealing differences in recovery potential among patients. However, it remains unclea...
Stroke Rehabilitation Recovery of Function Robotics Humans Stroke Machine Learning Male Aged Upper Extremity Middle Aged Adult Female Spectroscopy, Near-Infrared
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Machine Learning to Predict the Individual Risk of Treatment-Relevant Toxicity for Patients With Breast Cancer Undergoing Neoadjuvant Systemic Treatment.

JCO clinical cancer informatics Dec 23, 2024
PURPOSE: Toxicity to systemic cancer treatment represents a major anxiety for patients and a challenge to treatment plans. We aimed to develop machine learning algorithms for the upfront prediction of an individual's risk of experiencing treatment-re...
Algorithms Prognosis Female Aged Adult Humans Machine Learning Support Vector Machine Drug-Related Side Effects and Adverse Reactions Breast Neoplasms Middle Aged ROC Curve Neoadjuvant Therapy
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Integrating machine learning with bioinformatics for predicting idiopathic pulmonary fibrosis prognosis: developing an individualized clinical prediction tool.

Experimental biology and medicine (Maywood, N.J.) Dec 23, 2024
Idiopathic pulmonary fibrosis (IPF) is a chronic interstitial lung disease with a poor prognosis. Its non-specific clinical symptoms make accurate prediction of disease progression challenging. This study aimed to develop molecular-level prognostic m...
Middle Aged Transcriptome Bleomycin Disease Models, Animal Female Mice Mice, Inbred C57BL Aged Computational Biology Humans Idiopathic Pulmonary Fibrosis Animals Male Machine Learning Precision Medicine Prognosis
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Optimizing hypertension prediction using ensemble learning approaches.

PloS one Dec 23, 2024
Hypertension (HTN) prediction is critical for effective preventive healthcare strategies. This study investigates how well ensemble learning techniques work to increase the accuracy of HTN prediction models. Utilizing a dataset of 612 participants fr...
Adult Male Middle Aged Logistic Models Neural Networks, Computer Machine Learning Female Risk Factors Hypertension Ethiopia Humans
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External validation of predictive models for antibiotic susceptibility of urine culture.

BJU international Dec 22, 2024
OBJECTIVE: To develop, externally validate, and test a series of computer algorithms to accurately predict antibiotic susceptibility test (AST) results at the time of clinical diagnosis, up to 3 days before standard urine culture results become avail...
Humans Machine Learning Algorithms Anti-Bacterial Agents Middle Aged Microbial Sensitivity Tests Predictive Value of Tests Urinary Tract Infections Antimicrobial Stewardship Female Aged Adult Male
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Accurate prediction of bleeding risk after coronary artery bypass grafting with dual antiplatelet therapy: A machine learning model vs. the PRECISE-DAPT score.

International journal of cardiology Dec 22, 2024
BACKGROUND: Dual antiplatelet therapy (DAPT) after coronary artery bypass grafting (CABG), although might be protective for ischemic events, can lead to varying degrees of bleeding, resulting in serious clinical events, including death. This study ai...
Coronary Artery Bypass Dual Anti-Platelet Therapy Predictive Value of Tests Postoperative Hemorrhage Machine Learning Hemorrhage Retrospective Studies Humans Platelet Aggregation Inhibitors Female Middle Aged Risk Factors Aged Risk Assessment Cohort Studies Male
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AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects.

Atherosclerosis Dec 22, 2024
BACKGROUND AND AIMS: The significance of left ventricular mass and chamber volumes from non-contrast computed tomography (CT) for predicting major adverse cardiovascular events (MACE) has not been studied. Our objective was to evaluate the role of ar...
Vascular Calcification Asymptomatic Diseases Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Prognosis Heart Ventricles Tomography, X-Ray Computed Middle Aged Female Risk Assessment Aged Deep Learning Humans Male Predictive Value of Tests Artificial Intelligence
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Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion.

European journal of radiology Dec 22, 2024
OBJECTIVE: To assess whether CT style conversion between different CT vendors using a routable generative adversarial network (RouteGAN) could minimize variation in ILD quantification, resulting in improved functional correlation of quantitative CT (...
Humans Retrospective Studies Reproducibility of Results Aged Male Tomography, X-Ray Computed Female Radiographic Image Interpretation, Computer-Assisted Middle Aged Respiratory Function Tests Lung Diseases, Interstitial Lung Generative Adversarial Networks Deep Learning Idiopathic Pulmonary Fibrosis
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Early detection of high blood pressure from natural speech sounds with graph diffusion network.

Computers in biology and medicine Dec 22, 2024
This study presents an innovative approach to cuffless blood pressure prediction by integrating speech and demographic features. With a focus on non-invasive monitoring, especially in remote regions, our model harnesses speech signals and demographic...
Signal Processing, Computer-Assisted Early Diagnosis Female Aged Adult Male Hypertension Blood Pressure Determination Blood Pressure Humans Middle Aged Neural Networks, Computer Speech
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