AIMC Topic: Logistic Models

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Machine-Learning Application for Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease Using Laboratory and Body Composition Indicators.

Archives of Iranian medicine Oct 1, 2024
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a significant global health burden without established curative therapies. Early detection and preventive strategies are crucial for effective MASLD management. T...
Female Risk Factors Adult Male Middle Aged Humans Area Under Curve Machine Learning Bayes Theorem Algorithms ROC Curve Prospective Studies Body Composition Logistic Models Non-alcoholic Fatty Liver Disease Body Mass Index Iran Predictive Value of Tests
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Machine-learning based prediction model for acute kidney injury induced by multiple wasp stings.

Toxicon : official journal of the International Society on Toxinology Sep 28, 2024
Acute kidney injury (AKI) following multiple wasp stings is a severe complication with potentially poor outcomes. Despite extensive research on AKI's risk factors, predictive models for wasp sting-related AKI are limited. This study aims to develop a...
Animals Acute Kidney Injury Humans Logistic Models Wasps Female Male Nomograms Machine Learning Risk Factors Insect Bites and Stings Middle Aged Prognosis Adult China Retrospective Studies
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Interpretable machine learning for allergic rhinitis prediction among preschool children in Urumqi, China.

Scientific reports Sep 27, 2024
This study aimed to investigate the advantages and applications of machine learning models in predicting the risk of allergic rhinitis (AR) in children aged 2-8, compared to traditional logistic regression. The study analyzed questionnaire data from ...
China Child, Preschool Machine Learning Child Logistic Models Humans ROC Curve Algorithms Support Vector Machine Female Rhinitis, Allergic Male
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Interpretable machine learning models for the prediction of all-cause mortality and time to death in hemodialysis patients.

Therapeutic apheresis and dialysis : official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy Sep 26, 2024
INTRODUCTION: The elevated mortality and hospitalization rates among hemodialysis (HD) patients underscore the necessity for the development of accurate predictive tools. This study developed two models for predicting all-cause mortality and time to ...
Retrospective Studies Female Aged Male Cohort Studies Time Factors Logistic Models Middle Aged Renal Dialysis Support Vector Machine Humans Kidney Failure, Chronic Machine Learning Cause of Death
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Prediction and validation of mild cognitive impairment in occupational dust exposure population based on machine learning.

Ecotoxicology and environmental safety Sep 26, 2024
OBJECTIVE: Workers exposed to dust for extended periods may experience varying degrees of cognitive impairment. However, limited research exists on the associated risk factors. This study aims to identify key variables using machine learning algorith...
Logistic Models Dust Middle Aged China Cognitive Dysfunction Occupational Exposure Humans Risk Factors Machine Learning Adult Male Female
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Abnormal phenotypic defects detection of jujube using explainable machine learning enhanced computer vision.

Journal of food science Sep 25, 2024
Jujube is susceptible to biotic and abiotic adversity stresses resulting in abnormal phenotypic defects. Therefore, abnormal phenotype fruits should be removed during postharvest sorting to increase added value. An improved maximum horizontal diamete...
Ziziphus Machine Learning Phenotype Neural Networks, Computer Logistic Models Support Vector Machine Fruit
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Interpretable machine learning model predicting immune checkpoint inhibitor-induced hypothyroidism: A retrospective cohort study.

Cancer science Sep 23, 2024
Hypothyroidism is a known adverse event associated with the use of immune checkpoint inhibitors (ICIs) in cancer treatment. This study aimed to develop an interpretable machine learning (ML) model for individualized prediction of hypothyroidism in pa...
Support Vector Machine Neoplasms Hypothyroidism ROC Curve Thyrotropin Humans Immune Checkpoint Inhibitors Machine Learning Logistic Models Female Retrospective Studies Adult Aged Male Middle Aged
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Progression to refractory status epilepticus: A machine learning analysis by means of classification and regression tree analysis.

Epilepsy & behavior : E&B Sep 21, 2024
BACKGROUND AND OBJECTIVES: to identify predictors of progression to refractory status epilepticus (RSE) using a machine learning technique.
Regression Analysis Decision Trees Electroencephalography Drug Resistant Epilepsy Status Epilepticus Middle Aged Disease Progression Adolescent Logistic Models Machine Learning Retrospective Studies Female Risk Factors Young Adult Humans Adult Male Aged Aged, 80 and over
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Identification of Nocturnal Leg Cramps and Affecting Factors in COPD Patients: Logistic Regression and Artificial Neural Network.

Clinical nursing research Sep 20, 2024
Although there are many sleep-related complaints in chronic obstructive pulmonary disease (COPD) patients, nocturnal leg cramps have not been adequately and extensively studied. This study fills a significant gap in the literature by determining the ...
Risk Factors Aged Pulmonary Disease, Chronic Obstructive Humans Male Neural Networks, Computer Middle Aged Case-Control Studies Female Prevalence Logistic Models Sleep-Wake Transition Disorders
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Prediction of preterm birth in multiparous women using logistic regression and machine learning approaches.

Scientific reports Sep 20, 2024
To predict preterm birth (PTB) in multiparous women, comparing machine learning approaches with traditional logistic regression. A population-based cohort study was conducted using data from the Ontario Better Outcomes Registry and Network (BORN). Th...
Female Infant, Newborn Premature Birth Parity Risk Factors Humans Neural Networks, Computer Machine Learning Pregnancy Logistic Models Adult Cohort Studies ROC Curve Ontario
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