AIMC Topic: Aged, 80 and over

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Comparing machine learning models for predicting preoperative DVT incidence in elderly hypertensive patients with hip fractures: a retrospective analysis.

Scientific reports Apr 16, 2025
Hip fractures in the elderly present a significant public health challenge globally, especially among patients with hypertension, who are at an increased risk of developing preoperative deep vein thrombosis (DVT). DVT not only heightens surgical risk...
Venous Thrombosis Humans Hip Fractures Machine Learning Preoperative Period Retrospective Studies Female Incidence Risk Factors ROC Curve Aged Logistic Models Aged, 80 and over Nomograms Male Hypertension Risk Assessment
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Risk Factors and Outcomes of Hemorrhagic Transformation in Acute Ischemic Stroke Following Thrombolysis: Analysis of a Single-Center Experience and Review of the Literature.

Medicina (Kaunas, Lithuania) Apr 14, 2025
: This is a retrospective study conducted at the Clinical County Hospital of Craiova, Romania, providing valuable insights into hemorrhagic transformation (HT) in thrombolyzed patients with acute ischemic stroke (AIS). Hemorrhagic complications remai...
Thrombolytic Therapy Aged, 80 and over Humans Male Retrospective Studies Fibrinolytic Agents Middle Aged Female Cerebral Hemorrhage Risk Factors Ischemic Stroke Aged Tissue Plasminogen Activator Romania
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Remdesivir associated with reduced mortality in hospitalized COVID-19 patients: treatment effectiveness using real-world data and natural language processing.

BMC infectious diseases Apr 12, 2025
BACKGROUND: Remdesivir (RDV) was the first antiviral approved for mild-to-moderate COVID-19 and for those patients at risk for progression to severe disease after clinical trials supported its association with improved outcomes. Real-world evidence (...
Humans Machine Learning Hospital Mortality Antiviral Agents Treatment Outcome Natural Language Processing COVID-19 Drug Treatment Spain Alanine Hospitalization COVID-19 Adenosine Monophosphate Aged Retrospective Studies Aged, 80 and over Electronic Health Records Male Female Middle Aged SARS-CoV-2
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Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks.

BMC medical informatics and decision making Apr 11, 2025
BACKGROUND: Thyroid nodules are frequent in clinical settings, and their diagnosis in adults is growing, with some persons experiencing symptoms. Ultrasound-guided thermal ablation can shrink nodules and alleviate discomfort. Because the degree and r...
Middle Aged Deep Learning Convolutional Neural Networks Adolescent Thyroid Nodule Ultrasonography, Interventional Microwaves Radiofrequency Ablation Aged Aged, 80 and over Young Adult Adult Male Humans Female
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Cost-Effectiveness Analysis of a Machine Learning-Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at Home: Retrospective Study.

JMIR formative research Apr 11, 2025
BACKGROUND: Dependent older people or those losing their autonomy are at risk of emergency hospitalization. Digital systems that monitor health remotely could be useful in reducing these visits by detecting worsening health conditions earlier. Howeve...
Home Care Services Cost-Effectiveness Analysis Emergency Room Visits Male Emergency Service, Hospital Telemedicine Cost-Benefit Analysis France Retrospective Studies Female Hospitalization Aged Aged, 80 and over Humans Machine Learning
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Prevalence of low-flow state by automated machine-learning 3D echocardiography in patients with moderate-to-severe aortic stenosis and normal ejection-fraction.

The international journal of cardiovascular imaging Apr 10, 2025
BACKGROUND: In aortic valve stenosis (AS), measurement of stroke volume index (SVi) by the 2D Doppler- technique is required to calculate the aortic valve area (AVA) and determine flow status but is prone to systematic errors.
Blood Flow Velocity Echocardiography, Three-Dimensional Aortic Valve Predictive Value of Tests Image Interpretation, Computer-Assisted Reproducibility of Results Automation Aged Echocardiography, Doppler Aged, 80 and over Male Stroke Volume Ventricular Function, Left Humans Prevalence Machine Learning Severity of Illness Index Female Hemodynamics Aortic Valve Stenosis
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Image quality improvement in head and neck angiography based on dual-energy CT and deep learning.

BMC medical imaging Apr 10, 2025
OBJECTIVE: Compare the image quality of image reconstructed using deep learning-based image reconstruction (DLIR) and iterative reconstruction algorithms for head and neck dual-energy CT angiography (DECTA).
Neck Radiographic Image Interpretation, Computer-Assisted Quality Improvement Artifacts Head Adult Male Middle Aged Deep Learning Head and Neck Neoplasms Signal-To-Noise Ratio Computed Tomography Angiography Radiography, Dual-Energy Scanned Projection Humans Algorithms Prospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over
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Comparing large scale and selected feature learning for community acquired pneumonia prognosis prediction using clinical data: a stacked ensemble approach.

Scientific reports Apr 10, 2025
This study investigated and validated all-cause in-hospital death prediction models for hospitalized pneumonia patients based on large-scale clinical data, including diagnoses, medication prescriptions, and laboratory test codes. Feature selection wa...
Prognosis Female Risk Factors Aged Aged, 80 and over Humans Machine Learning Community-Acquired Infections Community-Acquired Pneumonia Male Middle Aged Hospital Mortality ROC Curve Pneumonia
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Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated delirium.

PloS one Apr 9, 2025
This study aimed to develop models for predicting the 30-day mortality of sepsis-associated delirium (SAD) by multiple machine learning (ML) algorithms. On the whole, a cohort of 3,197 SAD patients were collected from the Medical Information Mart for...
Delirium Aged Aged, 80 and over Male Middle Aged Humans Sepsis Machine Learning Algorithms Prognosis Female Risk Factors
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Establishing a Validation Framework of Treatment Discontinuation in Claims Data Using Natural Language Processing and Electronic Health Records.

Clinical pharmacology and therapeutics Apr 8, 2025
Measuring medication discontinuation in claims data primarily relies on the gaps between prescription fills, but such definitions are rarely validated. This study aimed to establish a natural language processing (NLP)-based validation framework to ev...
Humans Algorithms Electronic Health Records Natural Language Processing Anticoagulants Female Warfarin Antipsychotic Agents Aged Insurance Claim Review Aged, 80 and over Medicare Part D Male United States
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