AIMC Topic: Machine Learning

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Forecasting one-day-forward wellness conditions for community-dwelling elderly with single lead short electrocardiogram signals.

BMC medical informatics and decision making Dec 30, 2019
BACKGROUND: The accelerated growth of elderly population is creating a heavy burden to the healthcare system in many developed countries and regions. Electrocardiogram (ECG) analysis has been recognized as effective approach to cardiovascular disease...
Humans Machine Learning Forecasting Aged Independent Living Deep Learning Models, Theoretical Electrocardiography Health Status
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A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis.

Computational and mathematical methods in medicine Dec 30, 2019
Magnetic resonance (MR) imaging is a widely used imaging modality for detection of brain anatomical variations caused by brain diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI). AD considered as an irreversible neurodegene...
Linear Models Aged Discriminant Analysis Pattern Recognition, Automated Male Biomarkers Alzheimer Disease Middle Aged Brain Positron-Emission Tomography Disease Progression Humans Female Image Interpretation, Computer-Assisted Reproducibility of Results Neuroimaging Diagnosis, Computer-Assisted Machine Learning Cognitive Dysfunction Algorithms Image Processing, Computer-Assisted Databases, Factual Magnetic Resonance Imaging
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A modern approach to identifying and characterizing child asthma and wheeze phenotypes based on clinical data.

PloS one Dec 30, 2019
'Asthma' is a complex disease that encapsulates a heterogeneous group of phenotypes and endotypes. Research to understand these phenotypes has previously been based on longitudinal wheeze patterns or hypothesis-driven observational criteria. The aim ...
Twins Diseases in Twins Eosinophils Medical History Taking Leukocyte Count Respiratory Sounds Severity of Illness Index Humans Adolescent Child Regression Analysis Sweden Risk Factors Asthma Male Machine Learning Data Analysis Biomarkers Female
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Automatic identification of crossovers in cryo-EM images of murine amyloid protein A fibrils with machine learning.

Journal of microscopy Dec 29, 2019
Detecting crossovers in cryo-electron microscopy images of protein fibrils is an important step towards determining the morphological composition of a sample. Currently, the crossover locations are picked by hand, which introduces errors and is a tim...
Neural Networks, Computer Mice Amyloid Protein Conformation Machine Learning Cryoelectron Microscopy Reproducibility of Results Animals Image Processing, Computer-Assisted
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Machine Learning Characterization of COPD Subtypes: Insights From the COPDGene Study.

Chest Dec 28, 2019
COPD is a heterogeneous syndrome. Many COPD subtypes have been proposed, but there is not yet consensus on how many COPD subtypes there are and how they should be defined. The COPD Genetic Epidemiology Study (COPDGene), which has generated 10-year lo...
Humans Machine Learning Phenotype Cluster Analysis Diagnostic Imaging Respiratory Function Tests Molecular Epidemiology Pulmonary Disease, Chronic Obstructive Disease Progression Genome-Wide Association Study Genetic Predisposition to Disease
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Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records.

Journal of biomedical informatics Dec 28, 2019
Machine learning has become ubiquitous and a key technology on mining electronic health records (EHRs) for facilitating clinical research and practice. Unsupervised machine learning, as opposed to supervised learning, has shown promise in identifying...
Electronic Health Records Models, Statistical Unsupervised Machine Learning Disease Hotspot Humans Machine Learning
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Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.

Computer methods and programs in biomedicine Dec 27, 2019
BACKGROUND: The study compared the predictive outcomes of artificial neural network, support vector machine and random forest on the occurrence of anti-tuberculosis drug-induced hepatotoxicity.
Polymorphism, Genetic Chemical and Drug Induced Liver Injury Humans Neural Networks, Computer Machine Learning Female Reproducibility of Results Risk Factors Genomics Genotype Support Vector Machine Male Liver Middle Aged Taiwan Drug Discovery Antitubercular Agents ROC Curve Aged Tuberculosis Aged, 80 and over Gene Frequency Adult Sensitivity and Specificity
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Sparse Ensemble Machine Learning to Improve Robustness of Long-Term Decoding in iBMIs.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 27, 2019
This paper presents a novel sparse ensemble based machine learning approach to enhance robustness of intracortical Brain Machine Interfaces (iBMIs) in the face of non-stationary distribution of input neural data across time. Each classifier in the en...
Discriminant Analysis Signal Processing, Computer-Assisted Psychomotor Performance Brain-Computer Interfaces Cerebral Cortex Macaca fascicularis Algorithms Animals Male Support Vector Machine Neural Networks, Computer Machine Learning
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Machine Learning-Based Classification of the Health State of Mice Colon in Cancer Study from Confocal Laser Endomicroscopy.

Scientific reports Dec 27, 2019
In this article, we address the problem of the classification of the health state of the colon's wall of mice, possibly injured by cancer with machine learning approaches. This problem is essential for translational research on cancer and is a priori...
Neural Networks, Computer Machine Learning Algorithms Animals Colon Mice Microscopy, Confocal
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Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data.

Scientific reports Dec 27, 2019
Knee osteoarthritis (OA) is the most common musculoskeletal disease without a cure, and current treatment options are limited to symptomatic relief. Prediction of OA progression is a very challenging and timely issue, and it could, if resolved, accel...
Middle Aged Humans Disease Progression Osteoarthritis, Knee Machine Learning Female Aged Male
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