Discriminant Analysis

Data-mining Techniques for Image-based Plant Phenotypic Traits Identification and Classification.

Scientific reports Dec 20, 2019

Statistical data-mining (DM) and machine learning (ML) are promising tools to assist in the analysis of complex dataset. In recent decades, in the precision of agricultural development, plant phenomics study is crucial for high-throughput phenotyping...

Machine Learning Algorithms Support Vector Machine Discriminant Analysis Data Mining

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Incremental Learning to Personalize Human Activity Recognition Models: The Importance of Human AI Collaboration.

Sensors (Basel, Switzerland) Nov 25, 2019

This study presents incremental learning based methods to personalize human activity recognition models. Initially, a user-independent model is used in the recognition process. When a new user starts to use the human activity recognition application,...

Algorithms Discriminant Analysis Supervised Machine Learning Human Activities Humans Artificial Intelligence

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The Effects of Population Tuning and Trial-by-Trial Variability on Information Encoding and Behavior.

The Journal of neuroscience : the official journal of the Society for Neuroscience Nov 21, 2019

Identifying the features of population responses that are relevant to the amount of information encoded by neuronal populations is a crucial step toward understanding population coding. Statistical features, such as tuning properties, individual and ...

Macaca mulatta Temporal Lobe Motion Perception Psychomotor Performance Behavior, Animal Visual Perception Macaca fascicularis Neural Networks, Computer Female Animals Male Prefrontal Cortex Models, Neurological Discriminant Analysis Neurons Attention

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Celiac disease diagnosis from videocapsule endoscopy images with residual learning and deep feature extraction.

Computer methods and programs in biomedicine Nov 20, 2019

BACKGROUND AND OBJECTIVE: Videocapsule endoscopy (VCE) is a relatively new technique for evaluating the presence of villous atrophy in celiac disease patients. The diagnostic analysis of video frames is currently time-consuming and tedious. Recently,...

Algorithms Reproducibility of Results Endoscopy Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Support Vector Machine Intestinal Mucosa Humans Machine Learning Linear Models Discriminant Analysis Calibration Light Capsule Endoscopy Video Recording Celiac Disease Image Interpretation, Computer-Assisted

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Prediction of pulmonary pressure after Glenn shunts by computed tomography-based machine learning models.

European radiology Nov 8, 2019

OBJECTIVES: This study aimed to develop non-invasive machine learning classifiers for predicting post-Glenn shunt patients with low and high risks of a mean pulmonary arterial pressure (mPAP) > 15 mmHg based on preoperative cardiac computed tomograph...

Humans Machine Learning Female Young Adult Male Infant Lung Algorithms Prognosis Retrospective Studies Tomography, X-Ray Computed Fontan Procedure Heart Defects, Congenital Pulmonary Atresia Tricuspid Atresia Cardiac Catheterization Transposition of Great Vessels Pulmonary Artery Heart Septal Defects Univentricular Heart Support Vector Machine Adolescent Blood Pressure Child, Preschool Bayes Theorem Child Discriminant Analysis Logistic Models Double Outlet Right Ventricle

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Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reduction.

Medical image analysis Nov 6, 2019

Alternative stress echocardiography protocols such as handgrip exercise are potentially more favorable towards large-scale screening scenarios than those currently adopted in clinical practice. However, these are still underexplored because the maxim...

Echocardiography, Stress Adenine Nucleotide Translocator 1 Machine Learning Female Cardiovascular Diseases Humans Young Adult Case-Control Studies Hand Strength Male Discriminant Analysis Heart Rate

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Predicting individual decision-making responses based on single-trial EEG.

NeuroImage Nov 4, 2019

Decision-making plays an essential role in the interpersonal interactions and cognitive processing of individuals. There has been increasing interest in being able to predict an individual's decision-making response (i.e., acceptance or rejection). W...

Adult Male Decision Making Discriminant Analysis Electroencephalography Humans Brain Female Young Adult Signal Processing, Computer-Assisted Supervised Machine Learning Neural Pathways Evoked Potentials

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An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data.

Sensors (Basel, Switzerland) Oct 20, 2019

In recent years, affective computing has been actively researched to provide a higher level of emotion-awareness. Numerous studies have been conducted to detect the user's emotions from physiological data. Among a myriad of target emotions, boredom, ...

Galvanic Skin Response Boredom ROC Curve Area Under Curve Discriminant Analysis Female Electroencephalography Young Adult Adult Male Surveys and Questionnaires Humans Machine Learning

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Sex estimation from sacrum and coccyx with discriminant analyses and neural networks in an equally distributed population by age and sex.

Forensic science international Sep 12, 2019

Sex estimation is an essential step in the process of the identification of the skeletal remains in forensic anthropology since it reduces the number of possible matches by half. In this study, sex estimation with 21 sacral and coccygeal metric param...

Middle Aged Humans Discriminant Analysis Aged Turkey Neural Networks, Computer Forensic Anthropology Young Adult Tomography, X-Ray Computed Sex Determination by Skeleton Coccyx Adult Female Sacrum Male

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Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables.

International journal of legal medicine Aug 23, 2019

The performance of seven classification methods, binary logistic (BLR), probit (PR) and cumulative probit (CPR) regression, linear (LDA) and quadratic (QDA) discriminant analysis, artificial neural networks (ANN), and naïve Bayes classification (NBC)...

Discriminant Analysis Female Skull Pelvis Male Humans Sex Determination by Skeleton Logistic Models Neural Networks, Computer Statistics as Topic Bayes Theorem Machine Learning Algorithms

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AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Data-mining Techniques for Image-based Plant Phenotypic Traits Identification and Classification.

Incremental Learning to Personalize Human Activity Recognition Models: The Importance of Human AI Collaboration.

The Effects of Population Tuning and Trial-by-Trial Variability on Information Encoding and Behavior.

Celiac disease diagnosis from videocapsule endoscopy images with residual learning and deep feature extraction.

Prediction of pulmonary pressure after Glenn shunts by computed tomography-based machine learning models.

Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reduction.

Predicting individual decision-making responses based on single-trial EEG.

An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data.

Sex estimation from sacrum and coccyx with discriminant analyses and neural networks in an equally distributed population by age and sex.

Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables.

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