AIMC Topic: Logistic Models

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Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey.

BMJ open Mar 22, 2025
OBJECTIVES: This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data.
Supervised Machine Learning Humans Tanzania Machine Learning Infant Health Surveys Vaccination Logistic Models Bayes Theorem Algorithms Female Cross-Sectional Studies Male
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Learning from the machine: is diabetes in adults predicted by lifestyle variables? A retrospective predictive modelling study of NHANES 2007-2018.

BMJ open Mar 22, 2025
OBJECTIVES: This study aimed to compare the performance of five machine learning algorithms to predict diabetes mellitus based on lifestyle factors (diet and physical activity).
Cross-Sectional Studies Male Middle Aged Diet Diabetes Mellitus, Type 2 Logistic Models Nutrition Surveys Exercise ROC Curve Retrospective Studies Female Aged Adult Humans Machine Learning United States Life Style
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A risk prediction model for gastric cancer based on endoscopic atrophy classification.

BMC cancer Mar 21, 2025
BACKGROUNDS: Gastric cancer (GC) is a prevalent malignancy affecting the digestive system. We aimed to develop a risk prediction model based on endoscopic atrophy classification for GC.
Stomach Neoplasms Retrospective Studies Male ROC Curve Gastroscopy Humans Female Logistic Models Machine Learning Risk Factors Middle Aged Atrophy Aged Risk Assessment
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PyGlaucoMetrics: A Stacked Weight-Based Machine Learning Approach for Glaucoma Detection Using Visual Field Data.

Medicina (Kaunas, Lithuania) Mar 20, 2025
: Glaucoma (GL) classification is crucial for early diagnosis and treatment, yet relying solely on stand-alone models or International Classification of Diseases (ICD) codes is insufficient due to limited predictive power and inconsistencies in clini...
Visual Fields Visual Field Tests Machine Learning Adult Female Male Humans Aged Middle Aged Glaucoma Logistic Models
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Identifying liver cirrhosis in patients with chronic hepatitis B: an interpretable machine learning algorithm based on LSM.

Annals of medicine Mar 19, 2025
BACKGROUND: Chronic hepatitis B (CHB) is a common cause of liver cirrhosis (LC), a condition associated with an unfavourable prognosis. Therefore, timely diagnosis of LC in CHB patients is crucial.
Retrospective Studies Female Adult Male Middle Aged Humans Neural Networks, Computer Machine Learning Algorithms Hepatitis B, Chronic Elasticity Imaging Techniques ROC Curve Logistic Models Liver Cirrhosis Liver
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Predicting postoperative pulmonary infection in elderly patients undergoing major surgery: a study based on logistic regression and machine learning models.

BMC pulmonary medicine Mar 19, 2025
BACKGROUND: Postoperative pulmonary infection (POI) is strongly associated with a poor prognosis and has a high incidence in elderly patients undergoing major surgery. Machine learning (ML) algorithms are increasingly being used in medicine, but the ...
Risk Assessment Postoperative Complications Logistic Models Risk Factors Aged Aged, 80 and over Male Machine Learning Algorithms Humans Retrospective Studies Female
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Predicting coronavirus disease 2019 severity using explainable artificial intelligence techniques.

Scientific reports Mar 19, 2025
Predictive models for determining coronavirus disease 2019 (COVID-19) severity have been established; however, the complexity of the interactions among factors limits the use of conventional statistical methods. This study aimed to establish a simple...
Severity of Illness Index ROC Curve Logistic Models Area Under Curve Aged Adult Humans Male Middle Aged COVID-19 Female Artificial Intelligence SARS-CoV-2 Machine Learning
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Identifying novel risk factors for aneurysmal subarachnoid haemorrhage using machine learning.

Scientific reports Mar 18, 2025
Aneurysmal subarachnoid haemorrhage (aSAH) is a type of stroke with high mortality and morbidity. This study aimed to identify novel aSAH risk factors by combining machine learning (ML) and traditional statistical methods. Using the UK Biobank, we id...
Female Humans Logistic Models Risk Factors Male Machine Learning Subarachnoid Hemorrhage Aged United Kingdom Middle Aged Adult
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Leveraging machine learning for enhanced and interpretable risk prediction of venous thromboembolism in acute ischemic stroke care.

PloS one Mar 18, 2025
BACKGROUND: Venous thromboembolism (VTE) is a life-threatening complication commonly occurring after acute ischemic stroke (AIS), with an increased risk of mortality. Traditional risk assessment tools lack precision in predicting VTE in AIS patients ...
ROC Curve Aged Humans Logistic Models Male Machine Learning Ischemic Stroke Middle Aged Female Venous Thromboembolism Risk Assessment Risk Factors
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A clinical data-driven machine learning approach for predicting the effectiveness of piperacillin-tazobactam in treating lower respiratory tract infections.

BMC pulmonary medicine Mar 17, 2025
BACKGROUND: In hospitalized patients, inadequate antibiotic dosage leading to bacterial resistance and increased antimicrobial use intensity due to overexposure to antibiotics are common problems. In the present study, we constructed a machine learni...
Female Aged Adult Humans Treatment Outcome Middle Aged Male Machine Learning Bayes Theorem Support Vector Machine China Anti-Bacterial Agents Respiratory Tract Infections ROC Curve Retrospective Studies Piperacillin, Tazobactam Drug Combination Logistic Models
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