AIMC Topic: Logistic Models

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Comparing context-dependent call sequences employing machine learning methods: an indication of syntactic structure of greater horseshoe bats.

The Journal of experimental biology Dec 18, 2019
For analysis of vocal syntax, accurate classification of call sequence structures in different behavioural contexts is essential. However, an effective, intelligent program for classifying call sequences from numerous recorded sound files is still la...
Machine Learning Decision Trees Vocalization, Animal Chiroptera Echolocation Animals Logistic Models Support Vector Machine
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Highway crash detection and risk estimation using deep learning.

Accident; analysis and prevention Dec 13, 2019
Crash Detection is essential in providing timely information to traffic management centers and the public to reduce its adverse effects. Prediction of crash risk is vital for avoiding secondary crashes and safeguarding highway traffic. For many years...
Humans Logistic Models Risk Assessment Accidents, Traffic Deep Learning Data Collection
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Classification of Depression Patients and Normal Subjects Based on Electroencephalogram (EEG) Signal Using Alpha Power and Theta Asymmetry.

Journal of medical systems Dec 13, 2019
Depression or Major Depressive Disorder (MDD) is a mental illness which negatively affects how a person thinks, acts or feels. MDD has become a major disease affecting millions of people presently. The diagnosis of depression is questionnaire based a...
Humans Female Bayes Theorem Electroencephalography Depressive Disorder, Major Adult Logistic Models Image Processing, Computer-Assisted Male Support Vector Machine Middle Aged
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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...
Walking Arthroplasty, Replacement, Knee Mobility Limitation Logistic Models Humans Treatment Outcome Male Female Registries Middle Aged Machine Learning Aged Postoperative Complications Prognosis
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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...
Machine Learning Algorithms Decision Support Techniques Adult Humans Neural Networks, Computer Logistic Models Mass Screening Decision Trees Stroke Risk Assessment China Incidence
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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...
ROC Curve Logistic Models Support Vector Machine Humans Predictive Value of Tests Sensitivity and Specificity Female Machine Learning Algorithms Bayes Theorem Aged Male Electronic Health Records Pulmonary Disease, Chronic Obstructive Middle Aged
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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 Humans Hypertension Artificial Intelligence Japan 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...
Washington Logistic Models Retrospective Studies Rupture Pelvic Bones Humans Decision Trees Wounds, Nonpenetrating Machine Learning Area Under Curve ROC Curve Fractures, Bone Databases, Factual Urinary Bladder Urinary Bladder Diseases Radiography Bayes Theorem
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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...
Logistic Models Cognition Amyloid beta-Peptides Aging Dementia Humans Cohort Studies Machine Learning Brain Aged, 80 and over Female Male Aged
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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...
Anaerobiosis Logistic Models Cluster Analysis Machine Learning Algorithms
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