AIMC Topic: Support Vector Machine

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Interpretation of Compound Activity Predictions from Complex Machine Learning Models Using Local Approximations and Shapley Values.

Journal of medicinal chemistry Sep 26, 2019
In qualitative or quantitative studies of structure-activity relationships (SARs), machine learning (ML) models are trained to recognize structural patterns that differentiate between active and inactive compounds. Understanding model decisions is ch...
Deep Learning Organic Chemicals Support Vector Machine
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Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects.

IEEE journal of biomedical and health informatics Sep 26, 2019
Motor fluctuations are a frequent complication in patients with Parkinson's disease (PD) where the response to medication fluctuates between ON states (medication working) and OFF states (medication has worn off). This paper describes a new data anal...
Pattern Recognition, Automated Antiparkinson Agents Movement Parkinson Disease Signal Processing, Computer-Assisted Activities of Daily Living Humans Female Aged Male Middle Aged Spatio-Temporal Analysis Support Vector Machine
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Deep learning-enabled system for rapid pneumothorax screening on chest CT.

European journal of radiology Sep 26, 2019
PURPOSE: Prompt diagnosis and quantitation of pneumothorax impact decisions pertaining to patient management. The purpose of our study was to develop and evaluate the accuracy of a deep learning (DL)-based image classification program for detection o...
Support Vector Machine Radiography, Thoracic Time Pneumothorax Adolescent Child, Preschool Child Aged Sensitivity and Specificity Aged, 80 and over Male Young Adult Middle Aged Adult Deep Learning Humans Neural Networks, Computer Tomography, X-Ray Computed Female Reproducibility of Results
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Enhancing the security of patients' portals and websites by detecting malicious web crawlers using machine learning techniques.

International journal of medical informatics Sep 25, 2019
INTRODUCTION: There is increasing demand for access to medical information via patients' portals. However, one of the challenges towards widespread utilisation of such service is maintaining the security of those portals. Recent reports show an alarm...
Machine Learning Software Algorithms Support Vector Machine Decision Trees Bayes Theorem Internet Humans Neural Networks, Computer Computer Security Patient Portals
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A comparison of machine learning algorithms for the surveillance of autism spectrum disorder.

PloS one Sep 25, 2019
OBJECTIVE: The Centers for Disease Control and Prevention (CDC) coordinates a labor-intensive process to measure the prevalence of autism spectrum disorder (ASD) among children in the United States. Random forests methods have shown promise in speedi...
Deep Learning Child Centers for Disease Control and Prevention, U.S. United States Support Vector Machine Humans Public Health Surveillance Autism Spectrum Disorder Feasibility Studies Prevalence Epidemiological Monitoring Georgia
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Orthogonal projection to latent structures and first derivative for manipulation of PLSR and SVR chemometric models' prediction: A case study.

PloS one Sep 25, 2019
Novel manipulations of the well-established multivariate calibration models namely; partial least square regression (PLSR) and support vector regression (SVR) are introduced in the presented comparative study. Two preprocessing methods comprising fir...
Spectrophotometry, Ultraviolet Pyridostigmine Bromide Models, Chemical Calibration Drug Contamination Support Vector Machine Models, Statistical Least-Squares Analysis
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Deep-learning model for predicting 30-day postoperative mortality.

British journal of anaesthesia Sep 23, 2019
BACKGROUND: Postoperative mortality occurs in 1-2% of patients undergoing major inpatient surgery. The currently available prediction tools using summaries of intraoperative data are limited by their inability to reflect shifting risk associated with...
Humans Postoperative Complications Comorbidity Deep Learning Support Vector Machine Neural Networks, Computer Algorithms Retrospective Studies Risk Assessment Missouri Predictive Value of Tests Surgical Procedures, Operative Postoperative Period
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Correlation-Based Ensemble Feature Selection Using Bioinspired Algorithms and Classification Using Backpropagation Neural Network.

Computational and mathematical methods in medicine Sep 23, 2019
A framework for clinical diagnosis which uses bioinspired algorithms for feature selection and gradient descendant backpropagation neural network for classification has been designed and implemented. The clinical data are subjected to data preprocess...
Sensitivity and Specificity Software Computational Biology Humans Breast Neoplasms Algorithms Support Vector Machine Neural Networks, Computer Diagnosis, Computer-Assisted Computer Simulation Hepatitis Machine Learning Reproducibility of Results Pattern Recognition, Automated
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Discrimination of indoor versus outdoor environmental state with machine learning algorithms in myopia observational studies.

Journal of translational medicine Sep 18, 2019
BACKGROUND: Wearable smart watches provide large amount of real-time data on the environmental state of the users and are useful to determine risk factors for onset and progression of myopia. We aim to evaluate the efficacy of machine learning algori...
Humans Machine Learning Environment Algorithms Myopia ROC Curve Support Vector Machine Light Databases as Topic
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EMG-based lumbosacral joint compression force prediction using a support vector machine.

Medical engineering & physics Sep 17, 2019
Electromyography-assisted optimization (EMGAO) approach is widely used to predict lumbar joint loads under various dynamic and static conditions. However, such approach uses numerous anthropometric, kinematic, kinetic, and electromyographic data in t...
Healthy Volunteers Weight-Bearing Compressive Strength Lumbar Vertebrae Male Humans Electromyography Support Vector Machine Young Adult Signal Processing, Computer-Assisted Biomechanical Phenomena Kinetics Walking
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