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Deep supervised learning with mixture of neural networks.

Artificial intelligence in medicine Jan 1, 2020
Deep Neural Network (DNN), as a deep architectures, has shown excellent performance in classification tasks. However, when the data has different distributions or contains some latent non-observed factors, it is difficult for DNN to train a single mo...
Classification Handwriting Diabetes Mellitus Supervised Machine Learning Neural Networks, Computer Pattern Recognition, Automated Algorithms Humans Computer Simulation Databases, Factual Female Breast Neoplasms
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A Tunable-Q wavelet transform and quadruple symmetric pattern based EEG signal classification method.

Medical hypotheses Jan 1, 2020
Electroencephalography (EEG) signals have been widely used to diagnose brain diseases for instance epilepsy, Parkinson's Disease (PD), Multiple Skleroz (MS), and many machine learning methods have been proposed to develop automated disease diagnosis ...
Humans Machine Learning Signal Processing, Computer-Assisted Datasets as Topic Classification Algorithms Electroencephalography Epilepsy Wavelet Analysis Brain Waves
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Imputation and characterization of uncoded self-harm in major mental illness using machine learning.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: We aimed to impute uncoded self-harm in administrative claims data of individuals with major mental illness (MMI), characterize self-harm incidence, and identify factors associated with coding bias.
Humans Machine Learning Classification Female Algorithms Self-Injurious Behavior Suicidal Ideation Adult Mental Disorders Male Clinical Coding Electronic Health Records Incidence Datasets as Topic
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Using convolutional neural networks to identify patient safety incident reports by type and severity.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: To evaluate the feasibility of a convolutional neural network (CNN) with word embedding to identify the type and severity of patient safety incident reports.
Risk Management Feasibility Studies Classification Neural Networks, Computer Medical Errors Patient Safety Support Vector Machine Humans
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A computational study of mental health awareness campaigns on social media.

Translational behavioral medicine Nov 25, 2019
As public discourse continues to progress online, it is important for mental health advocates, public health officials, and other curious parties and stakeholders, ranging from researchers, to those affected by the issue, to be aware of the advancing...
Delphi Technique Health Promotion Social Media Classification Machine Learning Mental Health Public Health Humans
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Automatic classification of free-text medical causes from death certificates for reactive mortality surveillance in France.

International journal of medical informatics Nov 1, 2019
BACKGROUND: Mortality surveillance is of fundamental importance to public health surveillance. The real-time recording of death certificates, thanks to Electronic Death Registration System (EDRS), provides valuable data for reactive mortality surveil...
Supervised Machine Learning Humans France Disease Support Vector Machine Classification Adult Epidemiological Monitoring Public Health Surveillance Male Death Certificates Cause of Death
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Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Automated clinical phenotyping is challenging because word-based features quickly turn it into a high-dimensional problem, in which the small, privacy-restricted, training datasets might lead to overfitting. Pretrained embeddings might sol...
Humans Neural Networks, Computer Machine Learning Deep Learning Data Mining Logistic Models Clinical Trials as Topic Natural Language Processing Classification Patient Selection
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ML-Net: multi-label classification of biomedical texts with deep neural networks.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: In multi-label text classification, each textual document is assigned 1 or more labels. As an important task that has broad applications in biomedicine, a number of different computational methods have been proposed. Many of these methods,...
Data Mining Classification Neural Networks, Computer Machine Learning Deep Learning Computational Biology Natural Language Processing Benchmarking
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Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional Networks.

Systematic biology Nov 1, 2019
Rapid and reliable identification of insects is important in many contexts, from the detection of disease vectors and invasive species to the sorting of material from biodiversity inventories. Because of the shortage of adequate expertise, there has ...
Classification Animals Phylogeny Insecta Neural Networks, Computer Reproducibility of Results
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Deep Learning Algorithms Improve Automated Identification of Chagas Disease Vectors.

Journal of medical entomology Sep 3, 2019
Vector-borne Chagas disease is endemic to the Americas and imposes significant economic and social burdens on public health. In a previous contribution, we presented an automated identification system that was able to discriminate among 12 Mexican an...
Mexico Classification Chagas Disease Animals Brazil Insect Vectors Deep Learning Triatominae
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