AIMC Topic: Logistic Models

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A hybrid machine-learning model to map glacier-related debris flow susceptibility along Gyirong Zangbo watershed under the changing climate.

The Science of the total environment Nov 22, 2021
Gyirong serves as an important channel to Chine-Nepal Economic Corridor, which is also the only land route for China-Nepal trade since the 2015 earthquake. However, the Gyirong corridor suffers from glacier-related debris flow from every April to Sep...
Climate Change Ice Cover Machine Learning Logistic Models Support Vector Machine
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Machine learning approach for the prediction of postpartum hemorrhage in vaginal birth.

Scientific reports Nov 19, 2021
Postpartum hemorrhage is the leading cause of maternal morbidity. Clinical prediction of postpartum hemorrhage remains challenging, particularly in the case of a vaginal birth. We studied machine learning models to predict postpartum hemorrhage. Wome...
Adult Middle Aged Deep Learning Adolescent Infant, Newborn Reproducibility of Results Young Adult Support Vector Machine Models, Statistical Area Under Curve False Positive Reactions ROC Curve Logistic Models Models, Theoretical Humans Neural Networks, Computer Machine Learning Pregnancy Female Risk Labor, Obstetric Postpartum Hemorrhage Delivery, Obstetric Tokyo
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Mental Health Monitoring Based on Multiperception Intelligent Wearable Devices.

Contrast media & molecular imaging Nov 16, 2021
In order to improve the accuracy of the evaluation results of multiperception intelligent wearable devices, the mathematical statistical characteristics based on speech, behavior, environment, and physical signs are proposed; first, the PCA feature c...
Wearable Electronic Devices Machine Learning Logistic Models Algorithms Mental Health
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Keratoconus Severity Classification Using Features Selection and Machine Learning Algorithms.

Computational and mathematical methods in medicine Nov 16, 2021
Keratoconus is a noninflammatory disease characterized by thinning and bulging of the cornea, generally appearing during adolescence and slowly progressing, causing vision impairment. However, the detection of keratoconus remains difficult in the ear...
Keratoconus Bayes Theorem Early Diagnosis Linear Models Machine Learning Logistic Models Humans Computer Simulation Algorithms Support Vector Machine Neural Networks, Computer Cornea Databases, Factual Decision Trees Severity of Illness Index Computational Biology
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Detection of Fake News Text Classification on COVID-19 Using Deep Learning Approaches.

Computational and mathematical methods in medicine Nov 15, 2021
A vast amount of data is generated every second for microblogs, content sharing via social media sites, and social networking. Twitter is an essential popular microblog where people voice their opinions about daily issues. Recently, analyzing these o...
Natural Language Processing Bayes Theorem Social Networking Algorithms Humans Support Vector Machine Deep Learning Neural Networks, Computer Models, Statistical Computational Biology COVID-19 Decision Trees Logistic Models Social Media Databases, Factual SARS-CoV-2 Disinformation
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Gradient boosted trees with individual explanations: An alternative to logistic regression for viability prediction in the first trimester of pregnancy.

Computer methods and programs in biomedicine Nov 10, 2021
BACKGROUND: Clinical models to predict first trimester viability are traditionally based on multivariable logistic regression (LR) which is not directly interpretable for non-statistical experts like physicians. Furthermore, LR requires complete data...
Logistic Models Pregnancy Trimester, First Machine Learning Prospective Studies Pregnancy Female Humans
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Survival prediction among heart patients using machine learning techniques.

Mathematical biosciences and engineering : MBE Nov 9, 2021
Cardiovascular diseases are regarded as the most common reason for worldwide deaths. As per World Health Organization, nearly 17.9 million people die of heart-related diseases each year. The high shares of cardiovascular-related diseases in total wor...
Humans Neural Networks, Computer Logistic Models Machine Learning Support Vector Machine Algorithms
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Natural language processing of head CT reports to identify intracranial mass effect: CTIME algorithm.

The American journal of emergency medicine Nov 9, 2021
BACKGROUND: The Mortality Probability Model (MPM) is used in research and quality improvement to adjust for severity of illness and can also inform triage decisions. However, a limitation for its automated use or application is that it includes the v...
ROC Curve Machine Learning Area Under Curve Tomography, X-Ray Computed Logistic Models Humans Electronic Health Records Natural Language Processing Brain Neoplasms
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Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis.

Journal of Korean medical science Nov 8, 2021
BACKGROUND: This study used machine learning and population data for testing the associations of preterm birth with gastroesophageal reflux disease (GERD) and periodontitis.
Social Class Logistic Models Periodontitis Gastroesophageal Reflux Databases, Factual Retrospective Studies Republic of Korea Humans Pregnancy Machine Learning Female Premature Birth Adult
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Identification of diagnostic signatures in ulcerative colitis patients via bioinformatic analysis integrated with machine learning.

Human cell Nov 3, 2021
Ulcerative colitis (UC) is an immune-related disorder with enhanced prevalence globally. Early diagnosis is critical for the effective treatment of UC. However, it still lacks specific diagnostic signatures. The aim of our study was to explore effici...
Humans Machine Learning Genetic Association Studies Gene Expression Lithostathine alpha-Defensins Pancreatitis-Associated Proteins Computational Biology Logistic Models Colitis, Ulcerative
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