AI Medical Compendium Topic:
Logistic Models

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Machine learning methods are comparable to logistic regression techniques in predicting severe walking limitation following total knee arthroplasty.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Dec 12, 2019
PURPOSE: Machine-learning methods are flexible prediction algorithms with potential advantages over conventional regression. This study aimed to use machine learning methods to predict post-total knee arthroplasty (TKA) walking limitation, and to com...
Arthroplasty, Replacement, Knee Mobility Limitation Treatment Outcome Registries Walking Machine Learning Prognosis Female Aged Male Middle Aged Postoperative Complications Logistic Models Humans
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Using machine learning models to improve stroke risk level classification methods of China national stroke screening.

BMC medical informatics and decision making Dec 10, 2019
BACKGROUND: With the character of high incidence, high prevalence and high mortality, stroke has brought a heavy burden to families and society in China. In 2009, the Ministry of Health of China launched the China national stroke screening and interv...
Incidence Logistic Models Mass Screening Decision Trees Adult Risk Assessment China Stroke Humans Neural Networks, Computer Machine Learning Algorithms Decision Support Techniques
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Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease.

Computer methods and programs in biomedicine Dec 9, 2019
OBJECTIVES: Identifying acute exacerbations in chronic obstructive pulmonary disease (AECOPDs) is of utmost importance for reducing the associated mortality and financial burden. In this research, the authors aimed to develop identification models fo...
Humans Machine Learning Algorithms Electronic Health Records Female Aged Pulmonary Disease, Chronic Obstructive Sensitivity and Specificity Support Vector Machine Predictive Value of Tests Bayes Theorem Male Middle Aged ROC Curve Logistic Models
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Highly precise risk prediction model for new-onset hypertension using artificial intelligence techniques.

Journal of clinical hypertension (Greenwich, Conn.) Dec 9, 2019
Hypertension is a significant public health issue. The ability to predict the risk of developing hypertension could contribute to disease prevention strategies. This study used machine learning techniques to develop and validate a new risk prediction...
Logistic Models Hypertension Japan Humans Artificial Intelligence Machine Learning
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Identifying bladder rupture following traumatic pelvic fracture: A machine learning approach.

Injury Dec 9, 2019
INTRODUCTION: Bladder rupture following blunt pelvic trauma is rare though can have significant sequelae. We sought to determine whether machine learning could help predict the presence of bladder injury using certain factors at the time of presentat...
Rupture Urinary Bladder Urinary Bladder Diseases Washington Area Under Curve Radiography Bayes Theorem Humans Machine Learning Logistic Models Pelvic Bones Fractures, Bone Decision Trees Databases, Factual Retrospective Studies Wounds, Nonpenetrating ROC Curve
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Epidemiological pathology of Aβ deposition in the ageing brain in CFAS: addition of multiple Aβ-derived measures does not improve dementia assessment using logistic regression and machine learning approaches.

Acta neuropathologica communications Dec 5, 2019
Aβ-amyloid deposition is a key feature of Alzheimer's disease, but Consortium to Establish a Registry for Alzheimer's Disease (CERAD) assessment, based on neuritic plaque density, shows a limited relationships to dementia. Thal phase is based on a ne...
Humans Dementia Cohort Studies Logistic Models Cognition Amyloid beta-Peptides Aged Aged, 80 and over Male Aging Machine Learning Brain Female
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Prediction of anaerobic digestion performance and identification of critical operational parameters using machine learning algorithms.

Bioresource technology Dec 2, 2019
Machine learning has emerges as a novel method for model development and has potential to be used to predict and control the performance of anaerobic digesters. In this study, several machine learning algorithms were applied in regression and classif...
Logistic Models Cluster Analysis Anaerobiosis Machine Learning Algorithms
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Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches.

BMC medical informatics and decision making Dec 2, 2019
BACKGROUND: Identifying dementia early in time, using real world data, is a public health challenge. As only two-thirds of people with dementia now ultimately receive a formal diagnosis in United Kingdom health systems and many receive it late in the...
Aged Male Risk Assessment Case-Control Studies Algorithms Retrospective Studies Electronic Health Records Female Support Vector Machine Bayes Theorem United Kingdom State Medicine Dementia Primary Health Care Computational Biology Logistic Models Humans Neural Networks, Computer Machine Learning
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Machine learning-based dynamic mortality prediction after traumatic brain injury.

Scientific reports Nov 27, 2019
Our aim was to create simple and largely scalable machine learning-based algorithms that could predict mortality in a real-time fashion during intensive care after traumatic brain injury. We performed an observational multicenter study including adul...
Cerebrovascular Circulation Glasgow Coma Scale Logistic Models Brain Injuries, Traumatic Intracranial Pressure Humans Prognosis Machine Learning Adult Intensive Care Units Male Female Middle Aged Aged ROC Curve
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Real-time crash risk prediction on arterials based on LSTM-CNN.

Accident; analysis and prevention Nov 26, 2019
Real-time crash risk prediction is expected to play a crucial role in preventing traffic accidents. However, most existing studies only focus on freeways rather than urban arterials. This paper proposes a real-time crash risk prediction model on arte...
Bayes Theorem Humans Accidents, Traffic Neural Networks, Computer Logistic Models
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