AIMC Topic: Support Vector Machine

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PredAmyl-MLP: Prediction of Amyloid Proteins Using Multilayer Perceptron.

Computational and mathematical methods in medicine Nov 20, 2020
Amyloid is generally an aggregate of insoluble fibrin; its abnormal deposition is the pathogenic mechanism of various diseases, such as Alzheimer's disease and type II diabetes. Therefore, accurately identifying amyloid is necessary to understand its...
Amino Acids Algorithms Amino Acid Sequence Diabetes Mellitus, Type 2 Humans Computational Biology Alzheimer Disease Support Vector Machine Mathematical Concepts Neural Networks, Computer Machine Learning Amyloidogenic Proteins
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Crash narrative classification: Identifying agricultural crashes using machine learning with curated keywords.

Traffic injury prevention Nov 18, 2020
OBJECTIVE: Traditionally, structured or coded data fields from a crash report are the basis for identifying crashes involving different types of vehicles, such as farm equipment. However, using only the structured data can lead to misclassification o...
Humans Support Vector Machine Bayes Theorem Louisiana Accidents, Traffic Machine Learning Texas Algorithms Forecasting Agriculture
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A machine learning approach to predict ethnicity using personal name and census location in Canada.

PloS one Nov 18, 2020
BACKGROUND: Canada is an ethnically-diverse country, yet its lack of ethnicity information in many large databases impedes effective population research and interventions. Automated ethnicity classification using machine learning has shown potential ...
Bayes Theorem Ethnicity Censuses Canada Logistic Models Humans Support Vector Machine Machine Learning Reproducibility of Results
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Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization.

Sensors (Basel, Switzerland) Nov 15, 2020
A novel method for recognizing the phases in bicycling of lower limb amputees using support vector machine (SVM) optimized by particle swarm optimization (PSO) is proposed in this paper. The method is essential for enhanced prosthetic knee joint cont...
Amputees Artificial Limbs Accelerometry Ankle Joint Bicycling Wireless Technology Wearable Electronic Devices Support Vector Machine Lower Extremity Knee Joint Humans Algorithms
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Comparing machine and deep learning-based algorithms for prediction of clinical improvement in psychosis with functional magnetic resonance imaging.

Human brain mapping Nov 13, 2020
Previous work using logistic regression suggests that cognitive control-related frontoparietal activation in early psychosis can predict symptomatic improvement after 1 year of coordinated specialty care with 66% accuracy. Here, we evaluated the abil...
Follow-Up Studies Magnetic Resonance Imaging Schizophrenia Outcome Assessment, Health Care Adolescent Bipolar Disorder Support Vector Machine Psychomotor Performance Dorsolateral Prefrontal Cortex Executive Function Humans Machine Learning Female Young Adult Adult Male Deep Learning Functional Neuroimaging
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Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls.

Sensors (Basel, Switzerland) Nov 13, 2020
Falling is a significant health problem. Fall detection, to alert for medical attention, has been gaining increasing attention. Still, most of the existing studies use falls simulated in a laboratory environment to test the obtained performance. We a...
Humans Accelerometry Machine Learning Algorithms Accidental Falls Support Vector Machine Monitoring, Ambulatory
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Development and utility assessment of a machine learning bloodstream infection classifier in pediatric patients receiving cancer treatments.

BMC cancer Nov 13, 2020
BACKGROUND: Objectives were to build a machine learning algorithm to identify bloodstream infection (BSI) among pediatric patients with cancer and hematopoietic stem cell transplantation (HSCT) recipients, and to compare this approach with presence o...
Support Vector Machine Follow-Up Studies Hematopoietic Stem Cell Transplantation Neutropenia Child, Preschool Child Bacteremia Retrospective Studies Female Neoplasms Infant, Newborn Humans Male Infant Machine Learning Sepsis Prognosis Adolescent
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Diagnosis of thyroid neoplasm using support vector machine algorithms based on platelet RNA-seq.

Endocrine Nov 12, 2020
OBJECTIVE: To assess the capacity of support vector machine (SVM) algorithms that are developed based on platelet RNA-seq data in identifying thyroid neoplasm patients and differentiating patients with thyroid adenomas, papillary thyroid cancer and m...
Thyroid Neoplasms RNA-Seq Support Vector Machine Blood Platelets Humans Algorithms
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Leveraging machine learning for predicting human body model response in restraint design simulations.

Computer methods in biomechanics and biomedical engineering Nov 12, 2020
The objective of this study was to leverage and compare multiple machine learning techniques for predicting the human body model response in restraint design simulations. Parametric simulations with 16 independent variables were performed. Ordinary l...
Neural Networks, Computer Machine Learning Computer Simulation Support Vector Machine Humans Human Body Finite Element Analysis
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Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study.

The international journal of cardiovascular imaging Nov 12, 2020
Machine learning (ML)-based algorithms for cardiovascular disease (CVD) risk assessment have shown promise in clinical decisions. However, they usually predict binary events using only conventional risk factors. Our overall goal was to develop the "m...
Machine Learning Decision Support Techniques Prognosis Female Humans Plaque, Atherosclerotic Carotid Stenosis Coronary Stenosis Pilot Projects Ultrasonography Support Vector Machine Male Predictive Value of Tests Middle Aged Coronary Angiography Risk Assessment Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Aged Stroke Cross-Sectional Studies Heart Disease Risk Factors
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