AIMC Topic: Machine Learning

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Predicting hospital admission at emergency department triage using machine learning.

PloS one Jul 20, 2018
OBJECTIVE: To predict hospital admission at the time of ED triage using patient history in addition to information collected at triage.
Models, Statistical Adult Patient Discharge Triage Patient Admission Emergency Service, Hospital Male Middle Aged Humans Machine Learning Female
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Dynamics of brain activity reveal a unitary recognition signal.

Journal of experimental psychology. Learning, memory, and cognition Jul 19, 2018
Dual-process models of recognition memory typically assume that independent familiarity and recollection signals with distinct temporal profiles can each lead to recognition (enabling 2 routes to recognition), whereas single-process models posit a un...
Memory, Episodic Mental Recall Recognition, Psychology Electroencephalography Cerebral Cortex Models, Psychological Young Adult Adult Humans Machine Learning
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Diagnostic model for attention-deficit hyperactivity disorder based on interregional morphological connectivity.

Neuroscience letters Jul 19, 2018
Previous brain morphology-related diagnostic models for attention-deficit hyperactivity disorder (ADHD) were based on regional features. However, building a model of individual interregional morphological connectivity is a challenging task. This stud...
Attention Deficit Disorder with Hyperactivity Magnetic Resonance Imaging Brain Male Brain Mapping Adolescent Neural Pathways Female Humans Child Sensitivity and Specificity Nerve Net Machine Learning
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Artificial intelligence: a new clinical support tool for stress echocardiography.

Expert review of medical devices Jul 19, 2018
Humans Artificial Intelligence Machine Learning Decision Support Systems, Clinical Equipment and Supplies Echocardiography, Stress
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Multiqubit and multilevel quantum reinforcement learning with quantum technologies.

PloS one Jul 19, 2018
We propose a protocol to perform quantum reinforcement learning with quantum technologies. At variance with recent results on quantum reinforcement learning with superconducting circuits, in our current protocol coherent feedback during the learning ...
Reinforcement, Psychology Machine Learning Quantum Theory
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Estimating risk of severe neonatal morbidity in preterm births under 32 weeks of gestation.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Jul 18, 2018
A large recent study analyzed the relationship between multiple factors and neonatal outcome and in preterm births. Study variables included the reason for admission, indication for delivery, optimal steroid use, gestational age, and other potential...
Severity of Illness Index Predictive Value of Tests Morbidity Male Risk Assessment Prognosis Infant Pregnancy Stillbirth Female Infant, Premature, Diseases Risk Factors Diagnostic Techniques, Obstetrical and Gynecological Infant, Newborn Adult Humans Infant, Small for Gestational Age Probability Premature Birth Machine Learning Infant Mortality Prospective Studies Gestational Age
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Multilevel Feature Representation of FDG-PET Brain Images for Diagnosing Alzheimer's Disease.

IEEE journal of biomedical and health informatics Jul 18, 2018
Using a single imaging modality to diagnose Alzheimer's disease (AD) or mild cognitive impairment (MCI) is a challenging task. FluoroDeoxyGlucose Positron Emission Tomography (FDG-PET) is an important and effective modality used for that purpose. In ...
Humans Alzheimer Disease Positron-Emission Tomography Image Interpretation, Computer-Assisted Brain Machine Learning Fluorodeoxyglucose F18 Cognitive Dysfunction Algorithms Neuroimaging Support Vector Machine Databases, Factual
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Medical breast ultrasound image segmentation by machine learning.

Ultrasonics Jul 18, 2018
Breast cancer is the most commonly diagnosed cancer, which alone accounts for 30% all new cancer diagnoses for women, posing a threat to women's health. Segmentation of breast ultrasound images into functional tissues can aid tumor localization, brea...
Breast Neoplasms Imaging, Three-Dimensional Ultrasonography, Mammary Image Enhancement Machine Learning Image Interpretation, Computer-Assisted Humans Algorithms Pattern Recognition, Automated Neural Networks, Computer Female
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Contour-Seed Pairs Learning-Based Framework for Simultaneously Detecting and Segmenting Various Overlapping Cells/Nuclei in Microscopy Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 18, 2018
In this paper, we propose a novel contour-seed pairs learning-based framework for robust and automated cell/nucleus segmentation. Automated granular object segmentation in microscopy images has significant clinical importance for pathology grading of...
Microscopy Cell Nucleus Drosophila Image Processing, Computer-Assisted Cervix Uteri Cell Line Algorithms Female Animals Humans Machine Learning
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PV Analyzer: A Decision Support System for Photovoltaic Solar Cells Libraries.

Molecular informatics Jul 18, 2018
This work describes the integration of several data mining and machine learning tools for researching Photovoltaic (PV) solar cells libraries into a unified workflow embedded within a GUI-supported Decision Support System (DSS), named PV Analyzer. Th...
Quantitative Structure-Activity Relationship Machine Learning Software Solar Energy
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