AIMC Topic: Algorithms

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Development of an automatic muscle atrophy measuring algorithm to calculate the ratio of supraspinatus in supraspinous fossa using deep learning.

Computer methods and programs in biomedicine Sep 3, 2019
BACKGROUND AND OBJECTIVE: Rotator cuff muscle tear is one of the most frequent reason of operations in orthopedic surgery. There are several clinical indicators such as Goutallier grade and occupation ratio in the diagnosis and surgery of these disea...
Muscle, Skeletal Automation Muscular Atrophy Rotator Cuff Algorithms Deep Learning Magnetic Resonance Imaging Humans
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Comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes.

Environmental science and pollution research international Sep 3, 2019
Chlorophyll-a (CHLA) is a key indicator to represent eutrophication status in lakes. In this study, CHLA, total phosphorus (TP), total nitrogen (TN), turbidity (TB), and Secchi depth (SD) collected by the United States Environmental Protection Agency...
Chlorophyll Chlorophyll A United States Environmental Protection Agency Nitrogen Phosphorus Water Quality United States Environmental Monitoring Cluster Analysis Artificial Intelligence Eutrophication Algorithms Lakes Ecosystem
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Evaluation of parameters affecting performance and reliability of machine learning-based antibiotic susceptibility testing from whole genome sequencing data.

PLoS computational biology Sep 3, 2019
Prediction of antibiotic resistance phenotypes from whole genome sequencing data by machine learning methods has been proposed as a promising platform for the development of sequence-based diagnostics. However, there has been no systematic evaluation...
Bacteria Computational Biology Databases, Genetic Anti-Bacterial Agents Reproducibility of Results Microbial Sensitivity Tests Bacterial Infections Whole Genome Sequencing Genome, Bacterial Humans Machine Learning Algorithms
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Predicting Hospital Readmission: A Joint Ensemble-Learning Model.

IEEE journal of biomedical and health informatics Sep 2, 2019
Hospital readmission is among the most critical issues in the healthcare system due to its high prevalence and cost. The improvement effort necessitates reliable prediction models which can identify high-risk patients effectively and enable healthcar...
Patient Readmission Models, Educational Machine Learning Algorithms Humans Hospitalization
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Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network.

European radiology Sep 2, 2019
OBJECTIVES: The aim of this study was to develop a deep convolutional neural network (DCNN) for the prediction of the METAVIR score using B-mode ultrasonography images.
Humans Algorithms Retrospective Studies Female ROC Curve Liver Cirrhosis Radiologists Deep Learning Elasticity Imaging Techniques Clinical Competence Ultrasonography Reproducibility of Results Male Middle Aged
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Hierarchical gated recurrent neural network with adversarial and virtual adversarial training on text classification.

Neural networks : the official journal of the International Neural Network Society Sep 2, 2019
Document classification aims to assign one or more classes to a document for ease of management by understanding the content of a document. Hierarchical attention network (HAN) has been showed effective to classify documents that are ambiguous. HAN p...
Neural Networks, Computer Machine Learning Humans Software Algorithms
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A Machine Learning Classifier for Assigning Individual Patients With Systemic Sclerosis to Intrinsic Molecular Subsets.

Arthritis & rheumatology (Hoboken, N.J.) Sep 2, 2019
OBJECTIVE: High-throughput gene expression profiling of tissue samples from patients with systemic sclerosis (SSc) has identified 4 "intrinsic" gene expression subsets: inflammatory, fibroproliferative, normal-like, and limited. Prior methods require...
Adult Male Middle Aged Female Aged Young Adult Machine Learning Supervised Machine Learning Algorithms High-Throughput Nucleotide Sequencing Humans Gene Expression Profiling Datasets as Topic Transcriptome Scleroderma, Systemic Gene Expression
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Generative adversarial network in medical imaging: A review.

Medical image analysis Aug 31, 2019
Generative adversarial networks have gained a lot of attention in the computer vision community due to their capability of data generation without explicitly modelling the probability density function. The adversarial loss brought by the discriminato...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Algorithms
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A comparison of machine learning and logistic regression in modelling the association of body condition score and submission rate.

Preventive veterinary medicine Aug 31, 2019
The effect of body condition score (BCS) on reproductive outcomes is complex, dynamic and non-linear with interaction and confounding. The flexibility inherent in machine learning algorithms makes them attractive for analysing complex data. This stud...
Lactation Reproduction Decision Trees Machine Learning Algorithms New Zealand Cattle Breeding Dairying Models, Biological Female Body Constitution ROC Curve Animals Logistic Models
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Reference Trajectory Reshaping Optimization and Control of Robotic Exoskeletons for Human-Robot Co-Manipulation.

IEEE transactions on cybernetics Aug 30, 2019
For human-robot co-manipulation by robotic exoskeletons, the interaction forces provide a communication channel through which the human and the robot can coordinate their actions. In this article, an optimization approach for reshaping the physical i...
Exoskeleton Device Man-Machine Systems Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Arm Humans
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