AIMC Topic: Algorithms

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Potentiality of deep learning application in healthcare.

Computer methods and programs in biomedicine Jul 1, 2018
Algorithms Humans Neural Networks, Computer Delivery of Health Care Machine Learning Diagnosis, Computer-Assisted
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Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.

JAMA ophthalmology Jul 1, 2018
IMPORTANCE: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The decision to treat is primarily based on the presence of plus disease, defined as dilation and tortuosity of retinal vessels. However, clinical diagn...
ROC Curve Image Interpretation, Computer-Assisted Infant, Premature Gestational Age Male Humans Infant Neural Networks, Computer Deep Learning Algorithms Reproducibility of Results Retinopathy of Prematurity Sensitivity and Specificity Photography Retinal Vessels Female Infant, Newborn
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Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization.

Medical image analysis Jul 1, 2018
fMRI data decomposition techniques have advanced significantly from shallow models such as Independent Component Analysis (ICA) and Sparse Coding and Dictionary Learning (SCDL) to deep learning models such Deep Belief Networks (DBN) and Convolutional...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Autistic Disorder Middle Aged Adolescent Child, Preschool Child Female Humans Adult Male Neural Networks, Computer Software Algorithms
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UMLS to DBPedia link discovery through circular resolution.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2018
OBJECTIVE: The goal of this work is to map Unified Medical Language System (UMLS) concepts to DBpedia resources using widely accepted ontology relations from the Simple Knowledge Organization System (skos:exactMatch, skos:closeMatch) and from the Res...
Knowledge Bases Datasets as Topic Algorithms Semantic Web Unified Medical Language System Medical Informatics Applications Vocabulary, Controlled Cloud Computing
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The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.

Critical care medicine Jul 1, 2018
OBJECTIVES: To develop an acute kidney injury risk prediction model using electronic health record data for longitudinal use in hospitalized patients.
Area Under Curve Creatinine Middle Aged ROC Curve Models, Statistical Algorithms Renal Replacement Therapy Acute Kidney Injury Reproducibility of Results Male Electronic Health Records Female Humans Machine Learning
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Interactive medical word sense disambiguation through informed learning.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2018
OBJECTIVE: Medical word sense disambiguation (WSD) is challenging and often requires significant training with data labeled by domain experts. This work aims to develop an interactive learning algorithm that makes efficient use of expert's domain kno...
Algorithms Medicine Logistic Models Medical Records Vocabulary Natural Language Processing Medical Subject Headings Machine Learning
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Measuring Use of Evidence Based Psychotherapy for Posttraumatic Stress Disorder in a Large National Healthcare System.

Administration and policy in mental health Jul 1, 2018
To derive a method of identifying use of evidence-based psychotherapy (EBP) for post-traumatic stress disorder (PTSD), we used clinical note text from national Veterans Health Administration (VHA) medical records. Using natural language processing, w...
Retrospective Studies Stress Disorders, Post-Traumatic United States Natural Language Processing Humans Machine Learning Algorithms Evidence-Based Medicine Cognitive Behavioral Therapy Family Therapy Implosive Therapy Psychotherapy United States Department of Veterans Affairs Veterans Psychotherapy, Group
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Improving Hip-Worn Accelerometer Estimates of Sitting Using Machine Learning Methods.

Medicine and science in sports and exercise Jul 1, 2018
PURPOSE: This study aimed to improve estimates of sitting time from hip-worn accelerometers used in large cohort studies by using machine learning methods developed on free-living activPAL data.
Sitting Position Hip Survivors Cross-Sectional Studies Pilot Projects Algorithms Middle Aged Monitoring, Ambulatory Thigh Humans Exercise Female Accelerometry Machine Learning Aged Breast Neoplasms
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Evaluation of a new neutron energy spectrum unfolding code based on an Adaptive Neuro-Fuzzy Inference System (ANFIS).

Journal of radiation research Jul 1, 2018
The purpose of the present study was to reconstruct the energy spectrum of a poly-energetic neutron source using an algorithm developed based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). ANFIS is a kind of artificial neural network based on t...
Neural Networks, Computer Algorithms Computer Simulation Fuzzy Logic Light Americium Neutrons
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MIIC online: a web server to reconstruct causal or non-causal networks from non-perturbative data.

Bioinformatics (Oxford, England) Jul 1, 2018
SUMMARY: We present a web server running the MIIC algorithm, a network learning method combining constraint-based and information-theoretic frameworks to reconstruct causal, non-causal or mixed networks from non-perturbative data, without the need fo...
Neural Networks, Computer Algorithms Software Computers
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