AI Medical Compendium Topic:
Logistic Models

Clear Filters Showing 991 to 1000 of 1140 articles

Development of a machine learning model and nomogram to predict seizures in children with COVID-19: a two-center study.

Journal of tropical pediatrics Apr 5, 2024
OBJECTIVE: This study aimed to use machine learning to evaluate the risk factors of seizures and develop a model and nomogram to predict seizures in children with coronavirus disease 2019 (COVID-19).
Infant Child, Preschool Child ROC Curve SARS-CoV-2 Risk Factors Male Logistic Models Nomograms Seizures COVID-19 Female Humans Machine Learning
View on PubMed DOI

Integration of graph network with kernel SVM and logistic regression for identification of biomarkers in SCA12 and its diagnosis.

Cerebral cortex (New York, N.Y. : 1991) Apr 1, 2024
Spinocerebellar ataxia type 12 is a hereditary and neurodegenerative illness commonly found in India. However, there is no established noninvasive automatic diagnostic system for its diagnosis and identification of imaging biomarkers. This work propo...
Magnetic Resonance Imaging Atrophy Spinocerebellar Ataxias Middle Aged Logistic Models Support Vector Machine Female Adult Male Biomarkers Brain Humans
View on PubMed DOI

[Construction of a back propagation neural network model for predicting urosepsis after flexible ureteroscopic lithotripsy].

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences Jan 25, 2024
OBJECTIVES: To analyze the association of serum heparin-binding protein (HBP) and C-reactive protein (CRP) levels with urosepsis following flexible ureteroscopic lithotripsy (FURL) and to construct a back propagation neural network prediction model.
Urinary Tract Infections Kidney Calculi Ureteroscopy Female Lithotripsy Humans Middle Aged Risk Factors Postoperative Complications Adult Sepsis Neural Networks, Computer Aged Male Logistic Models C-Reactive Protein
View on PubMed DOI

Utilization of Machine Learning Approaches to Predict Mortality in Pediatric Warzone Casualties.

Military medicine Jan 23, 2024
BACKGROUND: Identification of pediatric trauma patients at the highest risk for death may promote optimization of care. This becomes increasingly important in austere settings with constrained medical capabilities. This study aimed to develop and val...
Male Child Logistic Models Neural Networks, Computer Algorithms Humans Support Vector Machine Machine Learning Female
View on PubMed DOI

Federated Diabetes Prediction in Canadian Adults Using Real-world Cross-Province Primary Care Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Integrating Electronic Health Records (EHR) and the application of machine learning present opportunities for enhancing the accuracy and accessibility of data-driven diabetes prediction. In particular, developing data-driven machine learning models c...
Logistic Models Diabetes Mellitus Humans Machine Learning Primary Health Care Canada Electronic Health Records Adult
View on PubMed

Deep Learning-based Time-to-event Analysis of Depression and Asthma using the All of Us Research Program.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
While there is a growing recognition of the association between depression and asthma, few studies have leveraged deep learning-based (DL-based) models in a retrospective cohort study with a large sample size. We analyzed the association between depr...
Retrospective Studies Female Adult Asthma Humans Depression Logistic Models United States Proportional Hazards Models Male Middle Aged Deep Learning
View on PubMed

Pneumonia detection on chest X-rays from Xception-based transfer learning and logistic regression.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
Pneumonia is a dangerous disease that kills millions of children and elderly patients worldwide every year. The detection of pneumonia from a chest x-ray is perpetrated by expert radiologists. The chest x-ray is cheaper and is most often used to diag...
SARS-CoV-2 Radiography, Thoracic Humans Logistic Models Support Vector Machine Machine Learning COVID-19 Pneumonia
View on PubMed DOI

Data-driven Machine Learning Models for Risk Stratification and Prediction of Emergence Delirium in Pediatric Patients Underwent Tonsillectomy/Adenotonsillectomy.

Annali italiani di chirurgia Jan 1, 2024
AIM: In the pediatric surgical population, Emergence Delirium (ED) poses a significant challenge. This study aims to develop and validate machine learning (ML) models to identify key features associated with ED and predict its occurrence in children ...
Adolescent Child, Preschool Child Support Vector Machine Tonsillectomy ROC Curve Logistic Models Female Humans Male Emergence Delirium Machine Learning Risk Assessment Adenoidectomy
View on PubMed DOI

Machine learning approaches for asthma disease prediction among adults in Sri Lanka.

Health informatics journal Jan 1, 2024
Addressing the challenge of cost-effective asthma diagnosis amidst diverse symptom patterns among patients, this study aims to develop a machine learning-based asthma prediction tool for self-detection of asthma. Data from 6,665 participants in the...
Humans Machine Learning Algorithms Female Sri Lanka Male Aged Middle Aged Logistic Models Adult Asthma
View on PubMed DOI

Selective prediction for extracting unstructured clinical data.

Journal of the American Medical Informatics Association : JAMIA Dec 22, 2023
OBJECTIVE: While there are currently approaches to handle unstructured clinical data, such as manual abstraction and structured proxy variables, these methods may be time-consuming, not scalable, and imprecise. This article aims to determine whether ...
Humans Support Vector Machine Logistic Models Adenocarcinoma
View on PubMed DOI
Popular Topics
Recent Journals