AIMC Topic: Logistic Models

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Prediction of the Risk of Adverse Clinical Outcomes with Machine Learning Techniques in Patients with Noncommunicable Diseases.

Journal of medical systems Feb 3, 2025
Decision-making in chronic diseases guided by clinical decision support systems that use models including multiple variables based on artificial intelligence requires scientific validation in different populations to optimize the use of limited human...
Machine Learning Algorithms Electronic Health Records Female Hospitalization Humans Neural Networks, Computer Risk Assessment Noncommunicable Diseases Decision Support Systems, Clinical Logistic Models Colombia Emergency Service, Hospital Aged Aged, 80 and over Male Middle Aged
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Construction and evaluation of machine learning-based predictive models for early-onset preeclampsia.

Pregnancy hypertension Jan 30, 2025
OBJECTIVE: To analyze the influencing factors of early-onset preeclampsia (EOPE). And to construct and validate the prediction model of EOPE using machine learning algorithm.
Pregnancy Humans Risk Assessment Neural Networks, Computer Female Logistic Models Machine Learning Risk Factors Predictive Value of Tests Algorithms Adult Pre-Eclampsia
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Development and validation of an integrated model for the diagnosis of liver cirrhosis with portal vein thrombosis combined with endoscopic characters and blood biochemistry data: a retrospective propensity score matching (PSM) cohort study.

Annals of medicine Jan 29, 2025
BACKGROUND: Liver cirrhosis complicated by portal vein thrombosis (PVT) is a fatal complication with no specific manifestations but often misdiagnosed, it crucially increases the mortality worldwide. This study aimed to identify risk factors and esta...
Retrospective Studies Female Risk Factors Aged Adult Humans Machine Learning Male Middle Aged Liver Cirrhosis Venous Thrombosis ROC Curve Nomograms Logistic Models Portal Vein Propensity Score
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Prediction of mortality in heart failure by machine learning. Comparison with statistical modeling.

European journal of internal medicine Jan 28, 2025
BACKGROUND: Assessing the relative performance of machine learning (ML) methods and conventional statistical methods in predicting prognosis in heart failure (HF) still remains a challenging research field.
Heart Failure Male Prognosis Middle Aged Humans Female Logistic Models Models, Statistical Machine Learning Aged
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Prediction of surgical necessity in children with ureteropelvic junction obstruction using machine learning.

Irish journal of medical science Jan 27, 2025
BACKGROUND: Hydronephrosis developing at the ureteropelvic junction due to obstruction poses clinical challenges as it has the potential to cause renal damage.
Humans Machine Learning Ureteral Obstruction Retrospective Studies Child ROC Curve Logistic Models Female Kidney Pelvis Hydronephrosis Male Infant Child, Preschool
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Sexual dimorphism of the humerus bones in a French sample: comparison of several statistical models including machine learning models.

International journal of legal medicine Jan 25, 2025
Sex estimation is an important part of skeletal analysis and forensic identification. Traditionally pelvic traits are utilized for accurate sex estimation. However, the long bones, especially humerus, have been proved to be as effective for determine...
Humans Neural Networks, Computer Machine Learning France Sex Determination by Skeleton Humerus Forensic Anthropology Female Young Adult Middle Aged Adult Support Vector Machine Logistic Models Models, Statistical Male Discriminant Analysis
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Statistical models versus machine learning approach for competing risks in proctological surgery.

Updates in surgery Jan 25, 2025
Clinical risk prediction models are ubiquitous in many surgical domains. The traditional approach to develop these models involves the use of regression analysis. Machine learning algorithms are gaining in popularity as an alternative approach for pr...
Risk Assessment Postoperative Complications Logistic Models Models, Statistical Elective Surgical Procedures Hemorrhoids Aged Adult Male Middle Aged Humans Machine Learning Female
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Enhancing trauma triage in low-resource settings using machine learning: a performance comparison with the Kampala Trauma Score.

BMC emergency medicine Jan 23, 2025
BACKGROUND: Traumatic injuries are a leading cause of morbidity and mortality globally, with a disproportionate impact on populations in low- and middle-income countries (LMICs). The Kampala Trauma Score (KTS) is frequently used for triage in these s...
Injury Severity Score Wounds and Injuries Hospitals, Rural ROC Curve Logistic Models Triage Developing Countries Male Middle Aged Adolescent Uganda Female Young Adult Adult Humans Machine Learning
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Development of a machine learning tool to predict deep inspiration breath hold requirement for locoregional right-sided breast radiation therapy patients.

Biomedical physics & engineering express Jan 22, 2025
. This study presents machine learning (ML) models that predict if deep inspiration breath hold (DIBH) is needed based on lung dose in right-sided breast cancer patients during the initial computed tomography (CT) appointment.. Anatomic distances wer...
Lung Logistic Models Radiotherapy Planning, Computer-Assisted Inhalation Aged Adult Breast Neoplasms Middle Aged Breath Holding Unilateral Breast Neoplasms Humans Retrospective Studies Tomography, X-Ray Computed Female Machine Learning Algorithms
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Adaptive hybrid ANFIS-PSO and ANFIS-GA approach for occupational risk prediction.

International journal of occupational safety and ergonomics : JOSE Jan 20, 2025
This study attempted to optimize the adaptive neuro-fuzzy inference system (ANFIS) using particle swarm optimization (PSO) and a genetic algorithm (GA) for calculating occupational risk. Numerous studies have shown that the ANFIS is a good approach f...
Fuzzy Logic Humans Neural Networks, Computer Occupational Health Risk Assessment Logistic Models Machine Learning Support Vector Machine Algorithms
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