AI Medical Compendium Topic:
Logistic Models

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Crash prediction based on traffic platoon characteristics using floating car trajectory data and the machine learning approach.

Accident; analysis and prevention Oct 4, 2019
Predicting crash propensity helps study safety on urban expressways in order to implement countermeasures and make improvements. It also helps identify and prevent crashes before they happen. However, collecting real-time wide-coverage traffic inform...
Logistic Models Support Vector Machine Automobiles Accidents, Traffic Built Environment Humans Risk Assessment China
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All-Assay-Max2 pQSAR: Activity Predictions as Accurate as Four-Concentration ICs for 8558 Novartis Assays.

Journal of chemical information and modeling Sep 26, 2019
Profile-quantitative structure-activity relationship (pQSAR) is a massively multitask, two-step machine learning method with unprecedented scope, accuracy, and applicability domain. In step one, a "profile" of conventional single-assay random forest ...
Algorithms Drug Discovery Logistic Models Dose-Response Relationship, Drug Proteins Machine Learning Models, Chemical Biological Assay Inhibitory Concentration 50 Quantitative Structure-Activity Relationship
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Evaluating the performance of a predictive modeling approach to identifying members at high-risk of hospitalization.

Journal of medical economics Sep 24, 2019
To evaluate the risk-of-hospitalization (ROH) models developed at Blue Cross Blue Shield of Louisiana (BCBSLA) and compare this approach to the DxCG risk-score algorithms utilized by many health plans. Time zero for this study was December 31, 2016....
Logistic Models Residence Characteristics Models, Statistical Infant, Newborn Insurance Carriers Hospitalization Insurance, Health Aged Infant Aged, 80 and over Male Adolescent Humans Middle Aged Child, Preschool Machine Learning Risk Assessment Child Insurance Claim Review Young Adult Algorithms Female Adult
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Artificially intelligent scoring and classification engine for forensic identification.

Forensic science international. Genetics Sep 19, 2019
Despite advances in genotyping technologies, traditional kinship analysis tools utilized in forensic identification have seen limited evolution and lack measures of accuracy. Here, we leverage artificial intelligence (AI) and extend the Elston-Stewar...
Logistic Models Datasets as Topic Pedigree Likelihood Functions Humans Artificial Intelligence Algorithms Microsatellite Repeats Forensic Genetics DNA Fingerprinting
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Comparison of risk models for mortality and cardiovascular events between machine learning and conventional logistic regression analysis.

PloS one Sep 9, 2019
AIMS: Non-linear models by machine learning may identify different risk factors with different weighting in comparison to conventional linear models.
Logistic Models Cardiovascular Diseases Humans Models, Statistical Middle Aged Machine Learning Risk Assessment Female Cohort Studies Male
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A comparison of machine learning and logistic regression in modelling the association of body condition score and submission rate.

Preventive veterinary medicine Aug 31, 2019
The effect of body condition score (BCS) on reproductive outcomes is complex, dynamic and non-linear with interaction and confounding. The flexibility inherent in machine learning algorithms makes them attractive for analysing complex data. This stud...
Machine Learning Reproduction Algorithms Breeding Dairying Body Constitution Logistic Models New Zealand Female Decision Trees Models, Biological Animals Lactation Cattle ROC Curve
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Prediction of future gastric cancer risk using a machine learning algorithm and comprehensive medical check-up data: A case-control study.

Scientific reports Aug 27, 2019
A comprehensive screening method using machine learning and many factors (biological characteristics, Helicobacter pylori infection status, endoscopic findings and blood test results), accumulated daily as data in hospitals, could improve the accurac...
Aged Adult Stomach Neoplasms Male ROC Curve Logistic Models Longitudinal Studies Middle Aged Case-Control Studies Humans Machine Learning Female Area Under Curve Risk Factors Bayes Theorem Endoscopy, Gastrointestinal
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Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables.

International journal of legal medicine Aug 23, 2019
The performance of seven classification methods, binary logistic (BLR), probit (PR) and cumulative probit (CPR) regression, linear (LDA) and quadratic (QDA) discriminant analysis, artificial neural networks (ANN), and naïve Bayes classification (NBC)...
Male Neural Networks, Computer Logistic Models Statistics as Topic Machine Learning Bayes Theorem Pelvis Humans Skull Algorithms Discriminant Analysis Sex Determination by Skeleton Female
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Prediction model development of late-onset preeclampsia using machine learning-based methods.

PloS one Aug 23, 2019
Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality. Due to the lack of effective preventive measures, its prediction is essential to its prompt management. This study aimed to develop models using machine learning...
Gestational Age Pregnancy Trimester, Third Bayes Theorem Pre-Eclampsia Age of Onset Pregnancy Trimester, Second Humans Machine Learning Adult Pregnancy Logistic Models Female Support Vector Machine
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Machine Learning Diagnosis of Peritonsillar Abscess.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Aug 20, 2019
Peritonsillar abscess (PTA) is a difficult diagnosis to make clinically, with clinical examination of even otolaryngologists showing poor sensitivity and specificity. Machine learning is a form of artificial intelligence that "learns" from data to ma...
Peritonsillar Abscess Sensitivity and Specificity Male Middle Aged Infant Child Logistic Models Symptom Assessment Adolescent Child, Preschool Aged Aged, 80 and over Young Adult Adult Machine Learning Algorithms Retrospective Studies Female Humans
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