AIMC Topic: Pattern Recognition, Automated

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Parsimonious Minimal Learning Machine via Multiresponse Sparse Regression.

International journal of neural systems May 1, 2020
The training procedure of the minimal learning machine (MLM) requires the selection of two sets of patterns from the training dataset. These sets are called input reference points (IRP) and output reference points (ORP), which are used to build a map...
Models, Theoretical Regression Analysis Pattern Recognition, Automated Humans Machine Learning
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Accounting for data variability in multi-institutional distributed deep learning for medical imaging.

Journal of the American Medical Informatics Association : JAMIA May 1, 2020
OBJECTIVES: Sharing patient data across institutions to train generalizable deep learning models is challenging due to regulatory and technical hurdles. Distributed learning, where model weights are shared instead of patient data, presents an attract...
Computer Communication Networks Deep Learning Diagnostic Imaging Datasets as Topic Pattern Recognition, Automated Radiography, Thoracic Health Information Exchange Humans Diabetic Retinopathy
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Atlas-Based Classification Algorithms for Identification of Informative Brain Regions in fMRI Data.

Neuroinformatics Apr 1, 2020
Multi-voxel pattern analysis (MVPA) has been successfully applied to neuroimaging data due to its larger sensitivity compared to univariate traditional techniques. Searchlight is the most widely employed approach to assign functional value to differe...
Brain Magnetic Resonance Imaging Pattern Recognition, Automated Humans Machine Learning Neuroimaging
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A reference library for assigning protein subcellular localizations by image-based machine learning.

The Journal of cell biology Mar 2, 2020
Confocal micrographs of EGFP fusion proteins localized at key cell organelles in murine and human cells were acquired for use as subcellular localization landmarks. For each of the respective 789,011 and 523,319 optically validated cell images, morph...
Image Processing, Computer-Assisted Mice Microscopy, Confocal Humans Machine Learning Animals Pattern Recognition, Automated Reference Standards Protein Transport Cell Line Epithelial Cells Mutation Organelles Green Fluorescent Proteins Recombinant Fusion Proteins Secretory Pathway
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Using Machine Learning and Structural Neuroimaging to Detect First Episode Psychosis: Reconsidering the Evidence.

Schizophrenia bulletin Jan 4, 2020
Despite the high level of interest in the use of machine learning (ML) and neuroimaging to detect psychosis at the individual level, the reliability of the findings is unclear due to potential methodological issues that may have inflated the existing...
Image Interpretation, Computer-Assisted Datasets as Topic Pattern Recognition, Automated Neuroimaging Gray Matter Cerebral Cortex Male Deep Learning Psychotic Disorders Young Adult Adult Humans Machine Learning Female Reproducibility of Results
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A Collection of Benchmark Data Sets for Knowledge Graph-based Similarity in the Biomedical Domain.

Database : the journal of biological databases and curation Jan 1, 2020
The ability to compare entities within a knowledge graph is a cornerstone technique for several applications, ranging from the integration of heterogeneous data to machine learning. It is of particular importance in the biomedical domain, where seman...
Humans Benchmarking Knowledge Bases Gene Ontology Semantics Biological Ontologies Pattern Recognition, Automated
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Electroencephalogram-Based Emotion Recognition Using a Particle Swarm Optimization-Derived Support Vector Machine Classifier.

Critical reviews in biomedical engineering Jan 1, 2020
We sort human emotions using Russell's circumplex model of emotion by classifying electroencephalogram (EEG) signals from 25 subjects into four discrete states, namely, happy, sad, angry, and relaxed. After acquiring signals, we use a standard databa...
Deep Learning Adolescent Support Vector Machine Emotions Electroencephalography Signal Processing, Computer-Assisted Young Adult Adult Male Female Reproducibility of Results Recognition, Psychology Electrodes Pattern Recognition, Automated Wavelet Analysis Humans Algorithms
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An Intuitionistic Fuzzy Based Novel Approach to CPU Scheduler.

Current medical imaging Jan 1, 2020
BACKGROUND: The extension of CPU schedulers with fuzzy has been ascertained better because of its unique capability of handling imprecise information. Though, other generalized forms of fuzzy can be used which can further extend the performance of th...
Fuzzy Logic Pattern Recognition, Automated Algorithms Computer Simulation
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[Studies on the methodology for quality control in Chinese medicine manufacturing process based on knowledge graph].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica Dec 1, 2019
According to the requirements for developing the quality control technology in Chinese medicine( CM) manufacturing process and the practical scenarios in applying a new generation of artificial intelligence to CM industry,we present a method of const...
Pattern Recognition, Automated Technology, Pharmaceutical Drugs, Chinese Herbal Quality Control Drug Industry Artificial Intelligence Medicine, Chinese Traditional
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Hybrid bag of approaches to characterize selection criteria for cohort identification.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: The 2018 National NLP Clinical Challenge (2018 n2c2) focused on the task of cohort selection for clinical trials, where participating systems were tasked with analyzing longitudinal patient records to determine if the patients met or did n...
Data Mining Pattern Recognition, Automated Clinical Trials as Topic Humans Machine Learning Natural Language Processing Patient Selection
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