AIMC Topic: Logistic Models

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Lung nodule classification using radiomics model trained on degraded SDCT images.

Computer methods and programs in biomedicine Oct 23, 2024
BACKGROUND AND OBJECTIVE: Low-dose computed tomography (LDCT) screening has shown promise in reducing lung cancer mortality; however, it suffers from high false positive rates and a scarcity of available annotated datasets. To overcome these challeng...
Humans Tomography, X-Ray Computed Reproducibility of Results Radiomics Machine Learning Algorithms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Image Processing, Computer-Assisted Lung Neoplasms Logistic Models Solitary Pulmonary Nodule
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Development and validation of a machine-learning model for preoperative risk of gastric gastrointestinal stromal tumors.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Oct 22, 2024
BACKGROUND: Gastrointestinal stromal tumors (GISTs) have malignant potential, and treatment varies according to risk. However, no specific protocols exist for preoperative assessment of the malignant potential of gastric GISTs (gGISTs). This study ai...
ROC Curve Logistic Models Tumor Burden Endosonography Gastrointestinal Stromal Tumors Preoperative Period Stomach Neoplasms Male Middle Aged Risk Assessment Female Risk Factors Aged Adult Humans Machine Learning
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Assessment of machine learning classifiers for predicting intraoperative blood transfusion in non-cardiac surgery.

Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine Oct 18, 2024
BACKGROUND: This study aimed to develop a machine learning classifier for predicting intraoperative blood transfusion in non-cardiac surgeries.
ROC Curve Logistic Models Blood Transfusion Area Under Curve Surgical Procedures, Operative Female Aged Male Middle Aged Intraoperative Care Humans Machine Learning Algorithms
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Fixing imbalanced binary classification: An asymmetric Bayesian learning approach.

PloS one Oct 16, 2024
Most statistical and machine learning models used for binary data modeling and classification assume that the data are balanced. However, this assumption can lead to poor predictive performance and bias in parameter estimation when there is an imbala...
Logistic Models Models, Statistical Bayes Theorem Humans Machine Learning Algorithms
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Comparing ensemble learning algorithms and severity of illness scoring systems in cardiac intensive care units: a retrospective study.

Einstein (Sao Paulo, Brazil) Oct 14, 2024
BACKGROUND: Beatriz Nistal-Nuño designed a machine learning system type of ensemble learning for patients undergoing cardiac surgery and intensive care unit cardiology patients, based on sequences of cardiovascular physiological measurements and othe...
Coronary Care Units Aged Intensive Care Units Humans ROC Curve Severity of Illness Index Male Machine Learning Female Logistic Models Hospital Mortality Middle Aged Algorithms Reproducibility of Results Cardiac Surgical Procedures Retrospective Studies Risk Assessment Risk Factors
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Determining domestic violence against women using machine learning methods: The case of Türkiye.

Journal of evaluation in clinical practice Oct 13, 2024
BACKGROUND: Domestic violence against women is a pervasive issue globally, representing a severe violation of human rights and a significant public health concern. The hidden nature of such violence and its frequent underreporting make it a critical ...
Humans Machine Learning Algorithms Female Middle Aged Logistic Models Support Vector Machine Risk Factors Bayes Theorem Young Adult Domestic Violence Adult Cross-Sectional Studies
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One-year employment outcome prediction after traumatic brain injury: A CENTER-TBI study.

Disability and health journal Oct 10, 2024
BACKGROUND: Traumatic brain injury (TBI) can come with long term consequences for functional outcome that can complicate return to work.
Return to Work Logistic Models Brain Injuries, Traumatic Europe Employment Algorithms Female Young Adult Adult Humans Male Length of Stay Machine Learning Middle Aged Cohort Studies Persons with Disabilities
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Development and validation of the PHM-CPA model to predict in-hospital mortality for cirrhotic patients with acute kidney injury.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Oct 8, 2024
BACKGROUND: The presence of acute kidney injury (AKI) significantly increases in-hospital mortality risk for cirrhotic patients. Early prognosis prediction for these patients is crucial. We aimed to develop and validate a machine learning model for i...
Retrospective Studies Acute Kidney Injury Female Aged Male Humans Machine Learning Prognosis Logistic Models Liver Cirrhosis Middle Aged Risk Assessment China Hospital Mortality
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Prediction of pre-eclampsia with machine learning approaches: Leveraging important information from routinely collected data.

International journal of medical informatics Oct 5, 2024
BACKGROUND: Globally, pre-eclampsia (PE) is a leading cause of maternal and perinatal morbidity and mortality. PE prediction using routinely collected data has the advantage of being widely applicable, particularly in low-resource settings. Early int...
Female Risk Factors Adult Diabetes, Gestational Area Under Curve Logistic Models Humans Pre-Eclampsia Machine Learning Pregnancy
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Estimating the prevalence of select non-communicable diseases in Saudi Arabia using a population-based sample: econometric analysis with natural language processing.

Annals of Saudi medicine Oct 3, 2024
BACKGROUND: Non-communicable diseases (NCDs) are a major public health challenge globally, including in Saudi Arabia. However, measuring the true extent of NCD prevalence has been hampered by a paucity of nationally representative epidemiological stu...
Noncommunicable Diseases Dyslipidemias Multimorbidity Humans Aged Hypertension Young Adult Diabetes Mellitus Adult Mental Disorders Obesity Prevalence Male Retrospective Studies Natural Language Processing Saudi Arabia Middle Aged Electronic Health Records Adolescent Logistic Models Female
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