AIMC Topic: Logistic Models

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Construction and validation of a urinary stone composition prediction model based on machine learning.

Urolithiasis Aug 11, 2025
The composition of urinary calculi serves as a critical determinant for personalized surgical strategies; however, such compositional data are often unavailable preoperatively. This study aims to develop a machine learning-based preoperative predicti...
Humans Machine Learning Retrospective Studies Logistic Models Uric Acid Calcium Oxalate Urinary Calculi Female Adult Male Middle Aged
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Development and validation of a novel public prediction platform for deciduous caries in preschool children: an observational study from Northwest China.

BMC pediatrics Aug 5, 2025
BACKGROUND: Early childhood caries (ECC) is a major global public health concern, necessitating its early screening. This study aimed to establish a caries risk assessment (CRA) platform for managing caries in community preschool children in underdev...
Humans Female Tooth, Deciduous Child, Preschool ROC Curve Logistic Models Dental Caries Male Risk Assessment China
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Machine learning-based predictive modeling of angina pectoris in an elderly community-dwelling population: Results from the PoCOsteo study.

PloS one Aug 5, 2025
BACKGROUND: Angina pectoris, a comparatively common complaint among older adults, is a critical warning sign of underlying coronary heart disease. We aimed to develop machine learning-based models using multiple algorithms to predict and identify the...
Angina Pectoris Logistic Models Support Vector Machine Independent Living Humans Machine Learning Female Algorithms Aged Aged, 80 and over Male
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Natural language processing for kidney ultrasound analysis: correlating imaging reports with chronic kidney disease diagnosis.

Renal failure Aug 4, 2025
INTRODUCTION: Natural language processing (NLP) has been used to analyze unstructured imaging report data, yet its application in identifying chronic kidney disease (CKD) features from kidney ultrasound reports remains unexplored.
Aged Adult Male Middle Aged Humans Female Renal Insufficiency, Chronic Natural Language Processing Pilot Projects Ultrasonography Kidney Logistic Models
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Development of a machine learning-based prediction model for serious bacterial infections in febrile young infants.

BMJ paediatrics open Jul 30, 2025
BACKGROUND: To develop and validate machine learning (ML)-based models to predict serious bacterial infections (SBIs) in febrile infants aged ≤90 days.
Predictive Value of Tests C-Reactive Protein Humans Logistic Models Fever Procalcitonin Machine Learning Bacterial Infections Retrospective Studies Female Infant, Newborn Male Infant
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Evaluation and analysis of risk factors for fractured vertebral recompression post-percutaneous kyphoplasty: a retrospective cohort study based on logistic regression analysis.

BMC musculoskeletal disorders Jul 29, 2025
BACKGROUND: Vertebral recompression after percutaneous kyphoplasty (PKP) for osteoporotic vertebral compression fractures (OVCFs) may lead to recurrent pain, deformity, and neurological impairment, compromising prognosis and quality of life.
Risk Factors Aged Spinal Fractures Aged, 80 and over Middle Aged Fractures, Compression Male Humans Kyphoplasty Risk Assessment Retrospective Studies Osteoporotic Fractures Postoperative Complications Female Logistic Models
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An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study.

Scientific reports Jul 29, 2025
Hemodialysis stands as the most prevalent renal replacement therapy globally. Accurately identifying mortality among hemodialysis patients is paramount importance, as it enables the formulation of tailored interventions and facilitates timely managem...
Male Middle Aged Renal Dialysis ROC Curve Logistic Models Support Vector Machine Kidney Failure, Chronic Machine Learning Retrospective Studies Female Aged Humans Neural Networks, Computer Artificial Intelligence
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Determination of milk yield in water buffaloes using multi-class logistic regression and machine learning methods.

Tropical animal health and production Jul 28, 2025
In this study, Random Forest, Gradient Boosting Machines (GBM), and Support Vector Machines (SVM), Multi-Class Logistic Regression (MCLR) models were comparatively evaluated for the prediction of milk yield in water buffaloes. The study's main purpos...
Machine Learning Dairying Logistic Models Pregnancy Lactation Female Buffaloes Animals Milk
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Predicting Missed Appointments in Primary Care: A Personalized Machine Learning Approach.

Annals of family medicine Jul 28, 2025
PURPOSE: Factors influencing missed appointments are complex and difficult to anticipate and intervene against. To optimize appointment adherence, we aimed to use personalized machine learning and big data analytics to predict the risk of and contrib...
Middle Aged Female Longitudinal Studies Humans Primary Health Care Appointments and Schedules Aged Machine Learning Logistic Models No-Show Patients Adult Retrospective Studies Pennsylvania Male
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Enhancing Parkinson's disease prediction using meta-heuristic optimized machine learning models.

Personalized medicine Jul 11, 2025
Parkinson's disease is a progressive neurological disorder affecting movement and cognition. Early detection is crucial but challenging with traditional methods. This study applies meta-heuristic optimization to enhance machine learning prediction mo...
Parkinson Disease Machine Learning Algorithms Female Aged Male Middle Aged Logistic Models Support Vector Machine Humans
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