AIMC Topic:
Supervised Machine Learning

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Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks.

IEEE journal of biomedical and health informatics Mar 26, 2018
Early and accurate diagnosis of interstitial lung diseases (ILDs) is crucial for making treatment decisions, but can be challenging even for experienced radiologists. The diagnostic procedure is based on the detection and recognition of the different...
Lung Diseases, Interstitial Image Interpretation, Computer-Assisted Semantics Tomography, X-Ray Computed Lung Supervised Machine Learning Humans Neural Networks, Computer
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HMMER Cut-off Threshold Tool (HMMERCTTER): Supervised classification of superfamily protein sequences with a reliable cut-off threshold.

PloS one Mar 26, 2018
BACKGROUND: Protein superfamilies can be divided into subfamilies of proteins with different functional characteristics. Their sequences can be classified hierarchically, which is part of sequence function assignation. Typically, there are no clear s...
Amino Acid Sequence Cluster Analysis Computational Biology Proteins Proteomics Supervised Machine Learning
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Machine learning RF shimming: Prediction by iteratively projected ridge regression.

Magnetic resonance in medicine Mar 23, 2018
PURPOSE: To obviate online slice-by-slice RF shim optimization and reduce B1+ mapping requirements for patient-specific RF shimming in high-field magnetic resonance imaging.
Algorithms Databases, Factual Brain Humans Supervised Machine Learning Head Phantoms, Imaging Computer Simulation Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Comorbidity Scoring with Causal Disease Networks.

IEEE/ACM transactions on computational biology and bioinformatics Mar 6, 2018
In recent years, there has been numerous studies constructing a disease network with diverse sources of data. Many researchers attempted to extend the usage of the disease network by employing machine learning algorithms on various problems such as p...
Comorbidity Computational Biology Causality Humans Algorithms Databases, Factual Epidemiology Models, Biological Supervised Machine Learning Risk
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Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring From Ballistocardiograms.

IEEE transactions on bio-medical engineering Mar 6, 2018
A multiple instance dictionary learning approach, dictionary learning using functions of multiple instances (DL-FUMI), is used to perform beat-to-beat heart rate estimation and to characterize heartbeat signatures from ballistocardiogram (BCG) signal...
Heart Rate Ballistocardiography Female Young Adult Adult Male Signal Processing, Computer-Assisted Supervised Machine Learning Humans Algorithms
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Predicting central line-associated bloodstream infections and mortality using supervised machine learning.

Journal of critical care Feb 21, 2018
PURPOSE: The purpose of this study was to compare machine learning techniques for predicting central line-associated bloodstream infection (CLABSI).
Supervised Machine Learning Florida Simplified Acute Physiology Score Predictive Value of Tests Databases, Factual Central Venous Catheters Intensive Care Units Catheter-Related Infections Female Humans Hospital Mortality Male Bacteremia Middle Aged Logistic Models Risk Assessment
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Shared and Subject-Specific Dictionary Learning (ShSSDL) Algorithm for Multisubject fMRI Data Analysis.

IEEE transactions on bio-medical engineering Feb 16, 2018
OBJECTIVE: Analysis of functional magnetic resonance imaging (fMRI) data from multiple subjects is at the heart of many medical imaging studies, and approaches based on dictionary learning (DL) are recently noted as promising solutions to the problem...
Humans Magnetic Resonance Imaging Algorithms Supervised Machine Learning Databases, Factual Brain Image Processing, Computer-Assisted
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Applying Data-driven Imaging Biomarker in Mammography for Breast Cancer Screening: Preliminary Study.

Scientific reports Feb 9, 2018
We assessed the feasibility of a data-driven imaging biomarker based on weakly supervised learning (DIB; an imaging biomarker derived from large-scale medical image data with deep learning technology) in mammography (DIB-MG). A total of 29,107 digita...
Early Detection of Cancer Mammography Supervised Machine Learning Breast Density Diagnosis, Computer-Assisted Deep Learning Pilot Projects Breast Neoplasms Middle Aged Humans Algorithms Databases, Factual Retrospective Studies Female Adult
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Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data.

Neural networks : the official journal of the International Neural Network Society Feb 2, 2018
The scalability of low-rank representation (LRR) to large-scale data is still a major research issue, because it is extremely time-consuming to solve singular value decomposition (SVD) in each optimization iteration especially for large matrices. Sev...
Artificial Intelligence Algorithms Learning Cluster Analysis Supervised Machine Learning Statistics as Topic Pattern Recognition, Visual
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Merging weighted SVMs for parallel incremental learning.

Neural networks : the official journal of the International Neural Network Society Feb 2, 2018
Parallel incremental learning is an effective approach for rapidly processing large scale data streams, where parallel and incremental learning are often treated as two separate problems and solved one after another. Incremental learning can be imple...
Support Vector Machine Algorithms Supervised Machine Learning Learning Knowledge
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