AIMC Topic: Machine Learning

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Development of New Methods Needs Proper Evaluation-Benchmarking Sets for Machine Learning Experiments for Class A GPCRs.

Journal of chemical information and modeling Nov 22, 2019
New computational approaches for virtual screening applications are constantly being developed. However, before a particular tool is used to search for new active compounds, its effectiveness in the type of task must be examined. In this study, we co...
Receptors, G-Protein-Coupled Machine Learning Benchmarking User-Computer Interface Ligands Drug Evaluation, Preclinical
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Social behavior for autonomous vehicles.

Proceedings of the National Academy of Sciences of the United States of America Nov 22, 2019
Deployment of autonomous vehicles on public roads promises increased efficiency and safety. It requires understanding the intent of human drivers and adapting to their driving styles. Autonomous vehicles must also behave in safe and predictable ways ...
Humans Automation Machine Learning Social Behavior Algorithms Game Theory Decision Making Psychology, Social Automobile Driving
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Machine Learning Interpretation of Extended Human Papillomavirus Genotyping by Onclarity in an Asian Cervical Cancer Screening Population.

Journal of clinical microbiology Nov 22, 2019
This study aimed (i) to compare the performance of the BD Onclarity human papillomavirus (HPV) assay with the Cobas HPV test in identifying cervical intraepithelial neoplasia 2/3 or above (CIN2/3+) in an Asian screening population and (ii) to explore...
Adult Sensitivity and Specificity Uterine Cervical Neoplasms Middle Aged Aged Aged, 80 and over Young Adult Humans Asian People Machine Learning Genotyping Techniques Female Uterine Cervical Dysplasia Adolescent Papillomaviridae Genotype Papillomavirus Infections Early Detection of Cancer
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Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods.

BMC bioinformatics Nov 22, 2019
BACKGROUND: Logic Learning Machine (LLM) is an innovative method of supervised analysis capable of constructing models based on simple and intelligible rules. In this investigation the performance of LLM in classifying patients with cancer was evalua...
Child ROC Curve Gene Expression Regulation, Neoplastic Databases, Genetic Logic Female Adult Male Neoplasms Humans Neural Networks, Computer Machine Learning
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Memristor-Based Neural Network Circuit of Full-Function Pavlov Associative Memory With Time Delay and Variable Learning Rate.

IEEE transactions on cybernetics Nov 21, 2019
Most memristor-based Pavlov associative memory neural networks strictly require that only simultaneous food and ring appear to generate associative memory. In this article, the time delay is considered, in order to form associative memory when the fo...
Time Factors Models, Neurological Memory Electrical Equipment and Supplies Conditioning, Classical Neural Networks, Computer Machine Learning
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Detection of sunn pest-damaged wheat grains using artificial bee colony optimization-based artificial intelligence techniques.

Journal of the science of food and agriculture Nov 21, 2019
BACKGROUND: In this study, artificial intelligence models that identify sunn pest-damaged wheat grains (SDG) and healthy wheat grains (HWG) are presented. Svevo durum wheat cultivated in Konya province, Turkey is used for the process, with 150 HWG an...
Neural Networks, Computer Artificial Intelligence Machine Learning Triticum Turkey Algorithms Image Processing, Computer-Assisted Seeds
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Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy.

Journal of translational medicine Nov 21, 2019
BACKGROUND: Secondary and retrospective use of hospital-hosted clinical data provides a time- and cost-efficient alternative to prospective clinical trials for biomarker development. This study aims to create a retrospective clinical dataset of Magne...
Humans International Classification of Diseases Machine Learning Hypoxia-Ischemia, Brain Treatment Outcome Algorithms Biomarkers Magnetic Resonance Imaging Infant, Newborn Probability Clinical Trials as Topic
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Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data.

BMC medical informatics and decision making Nov 21, 2019
BACKGROUND: Neuropsychological tests (NPTs) are important tools for informing diagnoses of cognitive impairment (CI). However, interpreting NPTs requires specialists and is thus time-consuming. To streamline the application of NPTs in clinical settin...
Humans Datasets as Topic Neural Networks, Computer Machine Learning Neuropsychological Tests Cognitive Dysfunction Algorithms Age Factors Sensitivity and Specificity Alzheimer Disease Deep Learning
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Non-Invasive Estimation of Hemoglobin Using a Multi-Model Stacking Regressor.

IEEE journal of biomedical and health informatics Nov 20, 2019
OBJECTIVE: We describe a novel machine-learning based method to estimate total Hemoglobin (Hb) using photoplethysmograms (PPGs) acquired non-invasively.
Young Adult Adult Middle Aged Adolescent Algorithms Pregnancy Female Hemoglobins India Photoplethysmography Equipment Design Signal Processing, Computer-Assisted Humans Machine Learning
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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,...
Deep Learning Reproducibility of Results Humans Capsule Endoscopy Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Machine Learning Celiac Disease Endoscopy Linear Models Support Vector Machine Algorithms Sensitivity and Specificity Calibration Intestinal Mucosa Diagnosis, Computer-Assisted Discriminant Analysis Light Video Recording
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