AI Medical Compendium Topic:
Supervised Machine Learning

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Single-modal and multi-modal false arrhythmia alarm reduction using attention-based convolutional and recurrent neural networks.

PloS one Jan 10, 2020
This study proposes a deep learning model that effectively suppresses the false alarms in the intensive care units (ICUs) without ignoring the true alarms using single- and multi- modal biosignals. Most of the current work in the literature are eithe...
Humans False Positive Reactions Supervised Machine Learning Neural Networks, Computer Intensive Care Units Clinical Alarms Algorithms Arrhythmias, Cardiac Sensitivity and Specificity Monitoring, Physiologic
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Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data.

Communications biology Jan 7, 2020
Single-molecule research techniques such as patch-clamp electrophysiology deliver unique biological insight by capturing the movement of individual proteins in real time, unobscured by whole-cell ensemble averaging. The critical first step in analysi...
Humans Neural Networks, Computer Models, Biological Supervised Machine Learning Single Molecule Imaging Ion Channels Artificial Intelligence ROC Curve Workflow Electrophysiological Phenomena Ion Channel Gating Patch-Clamp Techniques
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Evolving knowledge graph similarity for supervised learning in complex biomedical domains.

BMC bioinformatics Jan 3, 2020
BACKGROUND: In recent years, biomedical ontologies have become important for describing existing biological knowledge in the form of knowledge graphs. Data mining approaches that work with knowledge graphs have been proposed, but they are based on ve...
Knowledge Bases Data Mining Semantics Humans Algorithms Supervised Machine Learning Biological Ontologies Gene Ontology
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PGxCorpus, a manually annotated corpus for pharmacogenomics.

Scientific data Jan 2, 2020
Pharmacogenomics (PGx) studies how individual gene variations impact drug response phenotypes, which makes PGx-related knowledge a key component towards precision medicine. A significant part of the state-of-the-art knowledge in PGx is accumulated in...
Pharmacogenetics Supervised Machine Learning PubMed Data Curation Humans
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Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations.

IEEE journal of biomedical and health informatics Dec 31, 2019
Segmentation and quantification of each subtype of emphysema is helpful to monitor chronic obstructive pulmonary disease. Due to the nature of emphysema (diffuse pulmonary disease), it is very difficult for experts to allocate semantic labels to ever...
Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning Emphysema Male Lung Deep Learning Humans Tomography, X-Ray Computed Female
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Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.

International journal of medical informatics Dec 28, 2019
BACKGROUND: The proper estimate of the risk of recurrences in early-stage oral tongue squamous cell carcinoma (OTSCC) is mandatory for individual treatment-decision making. However, this remains a challenge even for experienced multidisciplinary cent...
Support Vector Machine Young Adult Mouth Neoplasms Chemoradiotherapy Female Neoplasm Recurrence, Local Middle Aged Decision Trees Supervised Machine Learning Adult Finland Aged Combined Modality Therapy Tongue Neoplasms Brazil Bayes Theorem Male Humans Aged, 80 and over Incidence Adolescent Algorithms Cohort Studies Prognosis Child
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Using machine learning to model problematic smartphone use severity: The significant role of fear of missing out.

Addictive behaviors Dec 28, 2019
We examined a model of psychopathology variables, age and sex as correlates of problematic smartphone use (PSU) severity using supervised machine learning in a sample of Chinese undergraduate students. A sample of 1097 participants completed measures...
Humans Female Young Adult Models, Statistical Supervised Machine Learning Male Internet Addiction Disorder Students China
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IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning.

BMC bioinformatics Dec 27, 2019
BACKGROUND: Viral infectious diseases are the serious threat for human health. The receptor-binding is the first step for the viral infection of hosts. To more effectively treat human viral infectious diseases, the hidden virus-receptor interactions ...
Viruses Receptors, Virus Humans Software Algorithms Reproducibility of Results Least-Squares Analysis ROC Curve Supervised Machine Learning
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Automatic Identification of Breast Ultrasound Image Based on Supervised Block-Based Region Segmentation Algorithm and Features Combination Migration Deep Learning Model.

IEEE journal of biomedical and health informatics Dec 19, 2019
Breast cancer is a high-incidence type of cancer for women. Early diagnosis plays a crucial role in the successful treatment of the disease and the effective reduction of deaths. In this paper, deep learning technology combined with ultrasound imagin...
Breast Neoplasms Deep Learning Ultrasonography, Mammary Breast Supervised Machine Learning Image Interpretation, Computer-Assisted Algorithms Female Sensitivity and Specificity Humans
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Supervised and unsupervised algorithms for bioinformatics and data science.

Progress in biophysics and molecular biology Dec 6, 2019
Bioinformatics refers to an ever evolving huge field of research based on millions of algorithms, designated to several data banks. Such algorithms are either supervised or unsupervised. In this article, a detailed overview of the supervised and unsu...
Supervised Machine Learning Data Science Computational Biology Unsupervised Machine Learning
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