AIMC Topic: Machine Learning

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Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis.

BMC medical informatics and decision making Sep 29, 2020
BACKGROUND: The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests.
Betacoronavirus Pneumonia, Viral Humans Machine Learning Influenza A virus Diagnosis, Differential Influenza, Human Coronavirus Infections Datasets as Topic COVID-19 Testing Clinical Laboratory Techniques Pandemics Sensitivity and Specificity COVID-19 Male Computer Simulation Female SARS-CoV-2
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Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study.

JMIR mHealth and uHealth Sep 29, 2020
BACKGROUND: Emotional state in everyday life is an essential indicator of health and well-being. However, daily assessment of emotional states largely depends on active self-reports, which are often inconvenient and prone to incomplete information. A...
Humans Machine Learning Smartphone Emotions Self Report Smokers
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Machine Learning-Based Differentiation of Nontuberculous Mycobacteria Lung Disease and Pulmonary Tuberculosis Using CT Images.

BioMed research international Sep 29, 2020
An increasing number of patients infected with nontuberculous mycobacteria (NTM) are observed worldwide. However, it is challenging to identify NTM lung diseases from pulmonary tuberculosis (PTB) due to considerable overlap in classic manifestations ...
Bronchiectasis Female Sensitivity and Specificity Nontuberculous Mycobacteria Humans Male Aged Middle Aged Machine Learning Adult Tomography, X-Ray Computed Lung Mycobacterium Infections, Nontuberculous Tuberculosis, Pulmonary Image Interpretation, Computer-Assisted
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EEG-Based Epilepsy Recognition via Multiple Kernel Learning.

Computational and mathematical methods in medicine Sep 29, 2020
In the field of brain-computer interfaces, it is very common to use EEG signals for disease diagnosis. In this study, a style regularized least squares support vector machine based on multikernel learning is proposed and applied to the recognition of...
Machine Learning Support Vector Machine Epilepsy Mathematical Concepts Algorithms Humans Least-Squares Analysis Diagnosis, Computer-Assisted Signal Processing, Computer-Assisted Electroencephalography Computational Biology
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Predicting Procedure Step Performance From Operator and Text Features: A Critical First Step Toward Machine Learning-Driven Procedure Design.

Human factors Sep 28, 2020
OBJECTIVE: The goal of this study is to assess machine learning for predicting procedure performance from operator and procedure characteristics.
Humans Machine Learning Logistic Models Algorithms Random Forest ROC Curve
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Development and Validation of Machine Learning-Based Prediction for Dependence in the Activities of Daily Living after Stroke Inpatient Rehabilitation: A Decision-Tree Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 28, 2020
BACKGROUND AND PURPOSE: Accurate prediction using simple and changeable variables is clinically meaningful because some known-predictors, such as stroke severity and patients age cannot be modified with rehabilitative treatment. There are limited cli...
Recovery of Function Predictive Value of Tests Stroke Activities of Daily Living Treatment Outcome Inpatients Decision Trees Stroke Rehabilitation Mobility Limitation Clinical Decision Rules Reproducibility of Results Risk Factors Aged Middle Aged Risk Assessment Aged, 80 and over Male Machine Learning Databases, Factual Female Humans
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The study of the differences between low-functioning autistic children and typically developing children in the processing of the own-race and other-race faces by the machine learning approach.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Sep 28, 2020
OBJECTIVE: Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder which affects the developmental trajectory in several behavioral domains, including impairments of social communication and stereotyped behavior. Unlike typicall...
Child Racial Groups Photic Stimulation Facial Recognition Recognition, Psychology Reproducibility of Results Male Child, Preschool Machine Learning Humans Autism Spectrum Disorder Female
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Application of artificial intelligence models and optimization algorithms in plant cell and tissue culture.

Applied microbiology and biotechnology Sep 28, 2020
Artificial intelligence (AI) models and optimization algorithms (OA) are broadly employed in different fields of technology and science and have recently been applied to improve different stages of plant tissue culture. The usefulness of the applicat...
Artificial Intelligence Machine Learning Algorithms Plant Cells Neural Networks, Computer
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Machine Learning-Assisted Raman Spectroscopy for pH and Lactate Sensing in Body Fluids.

Analytical chemistry Sep 28, 2020
This study presents the combination of Raman spectroscopy with machine learning algorithms as a prospective diagnostic tool capable of detecting and monitoring relevant variations of pH and lactate as recognized biomarkers of several pathologies. The...
Spectrum Analysis, Raman Principal Component Analysis Hydrogen-Ion Concentration Body Fluids Machine Learning Animals Swine Lactic Acid Multivariate Analysis
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Near-hysteresis-free soft tactile electronic skins for wearables and reliable machine learning.

Proceedings of the National Academy of Sciences of the United States of America Sep 28, 2020
Electronic skins are essential for real-time health monitoring and tactile perception in robots. Although the use of soft elastomers and microstructures have improved the sensitivity and pressure-sensing range of tactile sensors, the intrinsic viscoe...
Materials Science Machine Learning Wearable Electronic Devices Humans Pulse Wave Analysis Pressure
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