AIMC Topic: Aged

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Machine Learning Models of Early Longitudinal Toxicity Trajectories Predict Cetuximab Concentration and Metastatic Colorectal Cancer Survival in the Canadian Cancer Trials Group/AGITG CO.17/20 Trials.

JCO clinical cancer informatics Apr 11, 2025
PURPOSE: Cetuximab (CET), targeting the epidermal growth factor receptor, is a systemic treatment option for patients with colorectal cancer. One known predictive factor for CET efficacy is the presence of CET-related rash; other putative toxicity fa...
Antineoplastic Combined Chemotherapy Protocols Aged Neoplasm Metastasis Colorectal Neoplasms Humans Cetuximab Male Machine Learning Middle Aged Female Canada
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Utilizing machine learning and geographic analysis to improve Post-crash traffic injury management and emergency response systems.

International journal of injury control and safety promotion Apr 11, 2025
Traffic injuries are a major public health concern globally. This study uses machine learning (ML) and geographic analysis to analyse road traffic fatalities and improve traffic safety in Nakhon Ratchasima Province, Thailand. Data on road traffic fat...
Adolescent Young Adult Child Wounds and Injuries Humans Adult Emergency Medical Services Machine Learning Accidents, Traffic Male Female Middle Aged Aged Thailand
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A machine learning approach to risk-stratification of gastric cancer based on tumour-infiltrating immune cell profiles.

Annals of medicine Apr 10, 2025
BACKGROUND: Gastric cancer (GC) is a highly heterogeneous disease, and the response of patients to clinical treatment varies substantially. There is no satisfactory strategy for predicting curative effects to date. We aimed to explore a new method fo...
Flow Cytometry Neoplasm Recurrence, Local Disease-Free Survival Kaplan-Meier Estimate Machine Learning Prognosis Female Aged Stomach Neoplasms Male Middle Aged Risk Assessment Lymphocytes, Tumor-Infiltrating Humans
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Machine-Learning-Based Computed Tomography Radiomics Regression Model for Predicting Pulmonary Function.

Academic radiology Apr 10, 2025
RATIONALE AND OBJECTIVES: Chest computed tomography (CT) radiomics can be utilized for categorical predictions; however, models predicting pulmonary function indices directly are lacking. This study aimed to develop machine-learning-based regression ...
Forced Expiratory Volume Radiographic Image Interpretation, Computer-Assisted Respiratory Function Tests Vital Capacity Tomography, X-Ray Computed Female Aged Adult Radiomics Male Middle Aged Humans Lung Machine Learning Regression Analysis Retrospective Studies
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Interpretable Machine Learning Radiomics Model Predicts 5-year Recurrence-Free Survival in Non-metastatic Clear Cell Renal Cell Carcinoma: A Multicenter and Retrospective Cohort Study.

Academic radiology Apr 10, 2025
RATIONALE AND OBJECTIVES: To develop and validate a computed tomography (CT) radiomics-based interpretable machine learning (ML) model for predicting 5-year recurrence-free survival (RFS) in non-metastatic clear cell renal cell carcinoma (ccRCC).
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Middle Aged Aged Neoplasm Recurrence, Local Adult Disease-Free Survival Radiomics Kidney Neoplasms Male Carcinoma, Renal Cell
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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.
Humans Machine Learning Female Reproducibility of Results Aged Prevalence Severity of Illness Index Hemodynamics Aortic Valve Stenosis Aortic Valve Aged, 80 and over Male Ventricular Function, Left Stroke Volume Blood Flow Velocity Echocardiography, Three-Dimensional Predictive Value of Tests Image Interpretation, Computer-Assisted Automation Echocardiography, Doppler
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Prediction of Clavien Dindo Classification ≥ Grade III Complications After Epithelial Ovarian Cancer Surgery Using Machine Learning Methods.

Medicina (Kaunas, Lithuania) Apr 10, 2025
Ovarian cancer surgery requires multiple radical resections with a high risk of complications. The aim of this single-centre, retrospective study was to determine the best method for predicting Clavien-Dindo grade ≥ III complications using machine l...
ROC Curve Ovarian Neoplasms Carcinoma, Ovarian Epithelial Humans Machine Learning Aged Retrospective Studies Adult Female Middle Aged Postoperative Complications
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[Not Available].

Vertex (Buenos Aires, Argentina) Apr 10, 2025
Introducción: la ideación suicida es el pensamiento de autoeliminación no siempre reportada por los pacientes en test de depresión. El objetivo fue identificar y analizar síntomas depresivos del cuestionario de salud del paciente-9 asociados a ideaci...
Adolescent Humans Suicidal Ideation Machine Learning Adult Peru Algorithms Patient Health Questionnaire Cross-Sectional Studies Female Male Aged Middle Aged Young Adult Depression
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Development of an explainable prediction model for portal vein system thrombosis post-splenectomy in patients with cirrhosis.

BMJ health & care informatics Apr 10, 2025
BACKGROUND: Portal vein system thrombosis (PVST) is a common and potentially life-threatening complication following splenectomy plus pericardial devascularisation (SPDV) in patients with cirrhosis and portal hypertension. Early prediction of PVST is...
Adult Male Middle Aged Risk Assessment Postoperative Complications ROC Curve Liver Cirrhosis Venous Thrombosis Portal Vein Humans Machine Learning Female Risk Factors Aged Splenectomy
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Development of machine learning models to predict the risk of fungal infection following flexible ureteroscopy lithotripsy.

BMC medical informatics and decision making Apr 10, 2025
BACKGROUND: The flexible ureteroscopy lithotripsy (F-URL) is an important treatment for upper urinary tract stones. However, urolithiasis, surgical procedures, and catheter placement are risk factors for fungal infections. Our study aimed to construc...
Postoperative Complications Mycoses Ureteroscopy Lithotripsy Adult Male Middle Aged Risk Assessment Humans Machine Learning Retrospective Studies Female Risk Factors Aged
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