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Predicting speech discrimination scores from pure-tone thresholds-A machine learning-based approach using data from 12,697 subjects.

PloS one Dec 31, 2021
Diagnostic tests for hearing impairment not only determines the presence (or absence) of hearing loss, but also evaluates its degree and type, and provides physicians with essential data for future treatment and rehabilitation. Therefore, accurately ...
Computational Biology Reproducibility of Results Speech Reception Threshold Test Models, Statistical Aged Hearing Loss Audiometry, Pure-Tone Adolescent Aged, 80 and over Speech Perception Hearing Child, Preschool Young Adult Auditory Threshold Algorithms Child Adult Discrimination Learning Humans Republic of Korea Male Female Neural Networks, Computer Middle Aged Infant, Newborn Machine Learning Infant
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Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies.

Scientific reports Dec 20, 2021
Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower limbs and often requires corrective surgery to alleviate symptoms. Amongst military personnel, the success rates of this surgery can be as low as 20%...
Models, Statistical Area Under Curve Military Personnel Linear Models Treatment Outcome Support Vector Machine Lower Extremity Leg Fasciotomy Return to Work Chronic Exertional Compartment Syndrome Adult Sensitivity and Specificity Male Prognosis Middle Aged Female Reproducibility of Results Exercise Young Adult Surveys and Questionnaires Time Factors Humans ROC Curve Machine Learning
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Explainable artificial intelligence (XAI) for exploring spatial variability of lung and bronchus cancer (LBC) mortality rates in the contiguous USA.

Scientific reports Dec 16, 2021
Machine learning (ML) has demonstrated promise in predicting mortality; however, understanding spatial variation in risk factor contributions to mortality rate requires explainability. We applied explainable artificial intelligence (XAI) on a stack-e...
Humans Machine Learning Forecasting Female United States Risk Factors Models, Statistical Male Spatial Regression Lung Neoplasms Bronchial Neoplasms
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Acoustic emission corrosion feature extraction and severity prediction using hybrid wavelet packet transform and linear support vector classifier.

PloS one Dec 16, 2021
Corrosion in carbon-steel pipelines leads to failure, which is a major cause of breakdown maintenance in the oil and gas industries. The acoustic emission (AE) signal is a reliable method for corrosion detection and classification in the modern Struc...
Wavelet Analysis Fourier Analysis Corrosion Models, Statistical Signal Processing, Computer-Assisted Acoustics Machine Learning Algorithms Support Vector Machine
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Variance-based global sensitivity analysis for rear-end crash investigation using deep learning.

Accident; analysis and prevention Dec 8, 2021
Traffic accidents are rare events with inconsistent spatial and temporal dimensions; thus, accident injury severity (INJ-S) analysis faces a significant challenge in its classification and data stability. While classical statistical models have limit...
Humans Models, Statistical Machine Learning Accidents, Traffic Deep Learning Logistic Models
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An early model to predict the risk of gestational diabetes mellitus in the absence of blood examination indexes: application in primary health care centres.

BMC pregnancy and childbirth Dec 8, 2021
BACKGROUND: Gestational diabetes mellitus (GDM) is one of the critical causes of adverse perinatal outcomes. A reliable estimate of GDM in early pregnancy would facilitate intervention plans for maternal and infant health care to prevent the risk of ...
Machine Learning Pregnancy Female Risk Factors Humans Primary Health Care Models, Statistical Pregnancy Trimester, First Diabetes, Gestational Adult Sensitivity and Specificity China ROC Curve
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Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
A novel coronavirus (COVID-19) recently emerged as an acute respiratory syndrome, and has caused a pneumonia outbreak world-widely. As the COVID-19 continues to spread rapidly across the world, computed tomography (CT) has become essentially importan...
COVID-19 Tomography, X-Ray Computed SARS-CoV-2 Case-Control Studies Diagnosis, Computer-Assisted Models, Statistical Deep Learning Humans China Diagnosis, Differential Computational Biology Pneumonia, Bacterial
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An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression Data.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
Myocardial infarctions and heart failure are the cause of more than 17 million deaths annually worldwide. ST-segment elevation myocardial infarctions (STEMI) require timely treatment, because delays of minutes have serious clinical impacts. Machine l...
Computational Biology Models, Statistical Decision Trees Heart Failure Humans Machine Learning Algorithms Transcriptome
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Hybrid Random Forest and Support Vector Machine Modeling for HVAC Fault Detection and Diagnosis.

Sensors (Basel, Switzerland) Dec 7, 2021
The malfunctioning of the heating, ventilating, and air conditioning (HVAC) system is considered to be one of the main challenges in modern buildings. Due to the complexity of the building management system (BMS) with operational data input from a la...
Machine Learning Air Conditioning Support Vector Machine Models, Statistical Heating
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Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble.

Sensors (Basel, Switzerland) Dec 3, 2021
The employment of smart meters for energy consumption monitoring is essential for planning and management of power generation systems. In this context, forecasting energy consumption is a valuable asset for decision making, since it can improve the p...
Forecasting Models, Statistical Linear Models Neural Networks, Computer Machine Learning
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