AIMC Topic: Logistic Models

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A novel framework for classification of two-class motor imagery EEG signals using logistic regression classification algorithm.

PloS one Sep 8, 2023
Robotics and artificial intelligence have played a significant role in developing assistive technologies for people with motor disabilities. Brain-Computer Interface (BCI) is a communication system that allows humans to communicate with their environ...
Logistic Models Humans Artificial Intelligence Algorithms Bayes Theorem Electroencephalography
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Construction of enhanced CT radiomics model for noninvasive prediction of CXCL13's expression and immune infiltrates in bladder cancer based on logistic regression and support vector machine algorithm.

Asian journal of surgery Aug 29, 2023
Support Vector Machine Urinary Bladder Neoplasms Chemokine CXCL13 Retrospective Studies Tomography, X-Ray Computed Logistic Models Humans
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Machine Learning Predicting Atrial Fibrillation as an Adverse Event in the Warfarin and Aspirin in Reduced Cardiac Ejection Fraction (WARCEF) Trial.

The American journal of medicine Aug 21, 2023
BACKGROUND: Atrial fibrillation and heart failure commonly coexist due to shared pathophysiological mechanisms. Prompt identification of patients with heart failure at risk of developing atrial fibrillation would allow clinicians the opportunity to i...
Middle Aged Logistic Models Cluster Analysis Aged Male Stroke Volume Atrial Fibrillation Aspirin Anticoagulants Warfarin Heart Failure Humans Machine Learning Female
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Real-time artificial intelligence system for bacteremia prediction in adult febrile emergency department patients.

International journal of medical informatics Aug 6, 2023
BACKGROUND: Artificial intelligence (AI) holds significant potential to be a valuable tool in healthcare. However, its application for predicting bacteremia among adult febrile patients in the emergency department (ED) remains unclear. Therefore, we ...
Humans Artificial Intelligence Bacteremia Logistic Models Emergency Service, Hospital Adult Male Middle Aged Algorithms Retrospective Studies Female
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Sex estimation from long bones: a machine learning approach.

International journal of legal medicine Aug 1, 2023
Sex estimation from skeletal remains is one of the crucial issues in forensic anthropology. Long bones can be a valid alternative to skeletal remains for sex estimation when more dimorphic bones are absent or degraded, preventing any estimation from ...
Young Adult Adult Male Female Aged Aged, 80 and over Support Vector Machine Discriminant Analysis Sex Determination by Skeleton Forensic Anthropology Middle Aged Adolescent Logistic Models Humans Neural Networks, Computer Machine Learning
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Prediction of gestational diabetes mellitus at the first trimester: machine-learning algorithms.

Archives of gynecology and obstetrics Jul 21, 2023
PURPOSE: Short- and long-term complications of gestational diabetes mellitus (GDM) involving pregnancies and offspring warrant the development of an effective individualized risk prediction model to reduce and prevent GDM together with its associated...
Diabetes, Gestational Body Mass Index Pregnancy Trimester, First Glycated Hemoglobin Humans Cohort Studies ROC Curve Logistic Models Female Adult Risk Assessment Machine Learning China Algorithms Pregnancy
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Invited commentary: Machine learning versus logistic regression for the prediction of complications after pancreatoduodenectomy.

Surgery Jul 21, 2023
Logistic Models Humans Pancreaticoduodenectomy Machine Learning Risk Assessment
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Deep learning model for predicting the survival of patients with primary gastrointestinal lymphoma based on the SEER database and a multicentre external validation cohort.

Journal of cancer research and clinical oncology Jul 10, 2023
PURPOSE: Due to the rarity of primary gastrointestinal lymphoma (PGIL), the prognostic factors and optimal management of PGIL have not been clearly defined. We aimed to establish prognostic models using a deep learning algorithm for survival predicti...
Humans Prognosis Female Aged Male Lymphoma Middle Aged SEER Program Deep Learning Random Forest Survival Analysis Logistic Models Gastrointestinal Neoplasms Proportional Hazards Models
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SCOPE: predicting future diagnoses in office visits using electronic health records.

Scientific reports Jul 7, 2023
We propose an interpretable and scalable model to predict likely diagnoses at an encounter based on past diagnoses and lab results. This model is intended to aid physicians in their interaction with the electronic health records (EHR). To accomplish ...
Electronic Health Records Logistic Models Forecasting Retrospective Studies Humans Neural Networks, Computer
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A deep learning-based dynamic model for predicting acute kidney injury risk severity in postoperative patients.

Surgery Jun 13, 2023
BACKGROUND: Acute kidney injury is a common postoperative complication affecting between 10% and 30% of surgical patients. Acute kidney injury is associated with increased resource usage and chronic kidney disease development, with more severe acute ...
Deep Learning Humans Kidney Forecasting Logistic Models Acute Kidney Injury
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