AI Medical Compendium Topic:
Logistic Models

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Convolutional long short-term memory neural network integrated with classifier in classifying type of asynchrony breathing in mechanically ventilated patients.

Computer methods and programs in biomedicine May 1, 2025
BACKGROUND AND OBJECTIVE: Asynchronous breathing (AB) occurs when a mechanically ventilated patient's breathing does not align with the mechanical ventilator (MV). Asynchrony can negatively impact recovery and outcome, and/or hinder MV management. A ...
Humans Neural Networks, Computer Algorithms Memory, Short-Term Intensive Care Units Respiration Respiration, Artificial Logistic Models Support Vector Machine
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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 May 1, 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...
Models, Statistical Discriminant Analysis France Sex Determination by Skeleton Humerus Forensic Anthropology Adult Male Middle Aged Logistic Models Support Vector Machine Neural Networks, Computer Machine Learning Female Young Adult Humans
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Predicting Progression to Dementia Using Auditory Verbal Learning Test in Community-Dwelling Older Adults Based On Machine Learning.

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry May 1, 2025
BACKGROUND: Primary healthcare institutions find identifying individuals with dementia particularly challenging. This study aimed to develop machine learning models for identifying predictive features of older adults with normal cognition to develop ...
Humans Machine Learning Female Aged Aged, 80 and over Logistic Models Neuropsychological Tests Verbal Learning Male Independent Living Disease Progression China Dementia
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Predictive analytics for early detection of hospital-acquired complications: An artificial intelligence approach.

Health information management : journal of the Health Information Management Association of Australia May 1, 2025
BACKGROUND: Hospital-acquired complications (HACs) have an adverse impact on patient recovery by impeding their path to full recovery and increasing healthcare costs.
Male Cross Infection Length of Stay Humans Intensive Care Units Logistic Models Middle Aged Western Australia Artificial Intelligence Female Operative Time Risk Assessment Iatrogenic Disease Machine Learning Aged Decision Trees Severity of Illness Index Predictive Learning Models Retrospective Studies Aged, 80 and over Early Diagnosis Adult
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Construction and validation of machine learning-based predictive model for colorectal polyp recurrence one year after endoscopic mucosal resection.

World journal of gastroenterology Mar 21, 2025
BACKGROUND: Colorectal polyps are precancerous diseases of colorectal cancer. Early detection and resection of colorectal polyps can effectively reduce the mortality of colorectal cancer. Endoscopic mucosal resection (EMR) is a common polypectomy pro...
Male Middle Aged Risk Assessment Colonoscopy Logistic Models Predictive Value of Tests Neoplasm Recurrence, Local Colonic Polyps Endoscopic Mucosal Resection Female Risk Factors Aged Adult Humans Colorectal Neoplasms Machine Learning Prospective Studies Retrospective Studies
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Mitochondrial mt12361A>G increased risk of metabolic dysfunction-associated steatotic liver disease among non-diabetes.

World journal of gastroenterology Mar 14, 2025
BACKGROUND: Insulin resistance, lipotoxicity, and mitochondrial dysfunction contribute to the pathogenesis of metabolic dysfunction-associated steatotic liver disease (MASLD). Mitochondrial dysfunction impairs oxidative phosphorylation and increases ...
Humans Adult Male Middle Aged Case-Control Studies Non-alcoholic Fatty Liver Disease DNA, Mitochondrial Diabetes Complications Boosting Machine Learning Algorithms Cohort Studies Polymorphism, Single Nucleotide Logistic Models Random Forest
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Machine learning-based risk assessment for cardiovascular diseases in patients with chronic lung diseases.

Medicine Mar 7, 2025
The association between chronic lung diseases (CLDs) and the risk of cardiovascular diseases (CVDs) has been extensively recognized. Nevertheless, conventional approaches for CVD risk evaluation cannot fully capture the risk factors (RFs) related to ...
Chronic Disease Lung Diseases Machine Learning China Humans Female ROC Curve Cross-Sectional Studies Risk Factors Logistic Models Male Aged Longitudinal Studies Cardiovascular Diseases Middle Aged Risk Assessment
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Easy ensemble classifier-group and intersectional fairness and threshold (EEC-GIFT): a fairness-aware machine learning framework for lung cancer screening eligibility using real-world data.

JNCI cancer spectrum Mar 3, 2025
BACKGROUND: We use real-world data to develop a lung cancer screening (LCS) eligibility mechanism that is both accurate and free from racial bias.
Male Middle Aged Lung Neoplasms Logistic Models Mass Screening Humans Machine Learning Female Aged Early Detection of Cancer Black or African American Eligibility Determination White
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A Multidimensional Regression Model for Predicting Recurrence in Chronic Low Back Pain.

European journal of pain (London, England) Mar 1, 2025
BACKGROUND: Recurrence is common in chronic low back pain (CLBP). However, predicting the recurrence risk remains a challenge. The aim is to develop and validate a machine learning tool to predict the recurrence risk in patients with CLBP by using mu...
Humans Machine Learning Prospective Studies Middle Aged Logistic Models Low Back Pain Prognosis Recurrence Female Chronic Pain Aged Adult Male
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[Prediction of depression symptoms in seniors and analysis of influencing factors based on explainable machine learning].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi Feb 10, 2025
This study aims to construct a machine learning model to predict depression symptoms in the elderly and analyze the key influencing factors of depression in the elderly using the shapley additive interpretation (SHAP) method. Based on entries from ...
Female Aged Male China Humans Depression Machine Learning ROC Curve Algorithms Logistic Models Support Vector Machine Longitudinal Studies
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