AIMC Topic: Machine Learning

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A novel machine learning based computational framework for homogenization of heterogeneous soft materials: application to liver tissue.

Biomechanics and modeling in mechanobiology Dec 10, 2019
Real-time simulation of organs increases comfort and safety for patients during the surgery. Proper generalized decomposition (PGD) is an efficient numerical method with coordinate errors below 1 mm and response time below 0.1 s that can be used for ...
Animals Swine Imaging, Three-Dimensional Liver Machine Learning Algorithms Computer Simulation Stress, Mechanical Elasticity Finite Element Analysis Models, Cardiovascular Models, Biological Materials Testing Nonlinear Dynamics Humans Neural Networks, Computer Anisotropy
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Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach.

NeuroImage Dec 10, 2019
Accurate early diagnosis of neurodegenerative diseases represents a growing challenge for current clinical practice. Promisingly, current tools can be complemented by computational decision-support methods to objectively analyze multidimensional meas...
Female Reproducibility of Results Aged Aged, 80 and over Male Middle Aged Magnetic Resonance Imaging Humans Machine Learning Biomarkers Atrophy Executive Function Alzheimer Disease Frontotemporal Dementia Neuropsychological Tests
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Multiple Holdouts With Stability: Improving the Generalizability of Machine Learning Analyses of Brain-Behavior Relationships.

Biological psychiatry Dec 10, 2019
BACKGROUND: In 2009, the National Institute of Mental Health launched the Research Domain Criteria, an attempt to move beyond diagnostic categories and ground psychiatry within neurobiological constructs that combine different levels of measures (e.g...
United States Humans Gray Matter Machine Learning Mood Disorders National Institute of Mental Health (U.S.) Brain
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Predicting Breast Cancer by Paper Spray Ion Mobility Spectrometry Mass Spectrometry and Machine Learning.

Analytical chemistry Dec 10, 2019
Paper spray ionization has been used as a fast sampling/ionization method for the direct mass spectrometric analysis of biological samples at ambient conditions. Here, we demonstrated that by utilizing paper spray ionization-mass spectrometry (PSI-MS...
Breast Neoplasms Paper Spectrometry, Mass, Electrospray Ionization Ion Mobility Spectrometry Humans Machine Learning Algorithms Female
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A Tunable-Q wavelet transform and quadruple symmetric pattern based EEG signal classification method.

Medical hypotheses Dec 10, 2019
Electroencephalography (EEG) signals have been widely used to diagnose brain diseases for instance epilepsy, Parkinson's Disease (PD), Multiple Skleroz (MS), and many machine learning methods have been proposed to develop automated disease diagnosis ...
Classification Humans Machine Learning Wavelet Analysis Electroencephalography Algorithms Brain Waves Epilepsy Signal Processing, Computer-Assisted Datasets as Topic
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Accurate Ambulatory Gait Analysis in Walking and Running Using Machine Learning Models.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 10, 2019
Wearable sensors have been proposed as alternatives to traditional laboratory equipment for low-cost and portable real-time gait analysis in unconstrained environments. However, the moderate accuracy of these systems currently limits their widespread...
Gait Running Healthy Volunteers Foot Orthotic Devices Biomechanical Phenomena Male Support Vector Machine Walking Reproducibility of Results Humans Young Adult Machine Learning Adult Algorithms
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A Machine Learning-Based Raman Spectroscopic Assay for the Identification of and Related Species.

Molecules (Basel, Switzerland) Dec 10, 2019
, the causative agent of glanders, and , the causative agent of melioidosis in humans and animals, are genetically closely related. The high infectious potential of both organisms, their serological cross-reactivity, and similar clinical symptoms in ...
Spectrum Analysis, Raman Cluster Analysis Humans Workflow Machine Learning Bacterial Typing Techniques Burkholderia mallei
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Artificial Intelligence: A New Tool in Operating Room Management. Role of Machine Learning Models in Operating Room Optimization.

Journal of medical systems Dec 10, 2019
We conducted a systematic review of literature to better understand the role of new technologies in the perioperative period; in particular we focus on the administrative and managerial Operating Room (OR) perspective. Studies conducted on adult (≥ 1...
Models, Organizational Machine Learning Appointments and Schedules Efficiency, Organizational Operating Rooms Humans Artificial Intelligence
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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...
Logistic Models Mass Screening Decision Trees Stroke Risk Assessment China Incidence Humans Neural Networks, Computer Machine Learning Algorithms Decision Support Techniques Adult
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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...
Bayes Theorem Logistic Models Sensitivity and Specificity Support Vector Machine Humans Female Predictive Value of Tests Machine Learning Aged Algorithms Pulmonary Disease, Chronic Obstructive Electronic Health Records Male Middle Aged ROC Curve
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