AIMC Topic: Machine Learning

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[Machine learning-based method for interpreting the guidelines of the diagnosis and treatment of COVID-19].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Jun 25, 2020
The outbreak of pneumonia caused by novel coronavirus (COVID-19) at the end of 2019 was a major public health emergency in human history. In a short period of time, Chinese medical workers have experienced the gradual understanding, evidence accumula...
COVID-19 Betacoronavirus SARS-CoV-2 Pneumonia, Viral China Coronavirus Infections Practice Guidelines as Topic Machine Learning Pandemics Humans
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Evaluation of Different Learning Algorithms of Neural Networks for Drug Dosing Recommendations in Pediatrics.

Studies in health technology and informatics Jun 23, 2020
Publicly accessible databases with evidence-based information on drug dosages for children and adolescents are not available in Germany. In previous work a prototypical web-based online platform for pediatric dosing recommendation has been developed....
Child Germany Algorithms Adolescent Neural Networks, Computer Machine Learning Humans
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Experimenting with Generative Adversarial Networks to Expand Sparse Physiological Time-Series Data.

Studies in health technology and informatics Jun 23, 2020
Machine Learning research and its application have gained enormous relevance in recent years. Their usage in medical settings could support patients, increase patient safety and assist health professionals in various tasks. However, medical data is o...
Data Science Machine Learning
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Evaluating Performance and Interpretability of Machine Learning Methods for Predicting Delirium in Gerontopsychiatric Patients.

Studies in health technology and informatics Jun 23, 2020
Delirium is an acute mental disturbance that particularly occurs during hospital stay. Current clinical assessment instruments include the Delirium Observation Screening Scale (DOSS) or the Confusion Assessment Method (CAM). The aim of this work is t...
Humans Machine Learning International Classification of Diseases Delirium
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Human gesture recognition under degraded environments using 3D-integral imaging and deep learning.

Optics express Jun 22, 2020
In this paper, we propose a spatio-temporal human gesture recognition algorithm under degraded conditions using three-dimensional integral imaging and deep learning. The proposed algorithm leverages the advantages of integral imaging with deep learni...
Deep Learning Gestures Pattern Recognition, Automated Machine Learning Humans Imaging, Three-Dimensional Algorithms Neural Networks, Computer
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Prediction of condition-specific regulatory genes using machine learning.

Nucleic acids research Jun 19, 2020
Recent advances in genomic technologies have generated data on large-scale protein-DNA interactions and open chromatin regions for many eukaryotic species. How to identify condition-specific functions of transcription factors using these data has bec...
Datasets as Topic Stress, Physiological Promoter Regions, Genetic Machine Learning Gene Regulatory Networks Transcription Factors Gene Expression Profiling Arabidopsis Proteins Single-Cell Analysis Arabidopsis RNA-Seq Deep Learning Genes, Regulator Gene Expression Regulation, Plant Genes, Plant
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Integration of ultra-high-pressure liquid chromatography-tandem mass spectrometry with machine learning for identifying fatty acid metabolite biomarkers of ischemic stroke.

Chemical communications (Cambridge, England) Jun 18, 2020
We report for the first time the integration of ultra-high-pressure liquid chromatography-tandem mass spectrometry with machine learning for identifying fatty acid metabolite biomarkers of ischemic stroke. In particular, we develop an optimal model t...
Humans Machine Learning Biomarkers Male Middle Aged Magnetic Resonance Imaging Female Aged Tandem Mass Spectrometry Fatty Acids Brain Ischemia Stroke Chromatography, High Pressure Liquid
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Detecting Severe Incidents from Electronic Medical Records Using Machine Learning Methods.

Studies in health technology and informatics Jun 16, 2020
The goal of this research was to design a solution to detect non-reported incidents, especially severe incidents. To achieve this goal, we proposed a method to process electronic medical records and automatically extract clinical notes describing sev...
Risk Management Machine Learning Medical Errors Safety Management Electronic Health Records
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Advanced Machine Learning in Prediction of Second Primary Cancer in Colorectal Cancer.

Studies in health technology and informatics Jun 16, 2020
Colorectal cancer (CRC) ranked third among most commonly diagnosed cancers worldwide. The onset of second primary cancer (SPC) is an important indicator in treating CRC. We tried to use the advanced machine learning method in order to find the factor...
Neoplasms, Second Primary Taiwan Neoplasm Recurrence, Local Colorectal Neoplasms Support Vector Machine Humans Machine Learning
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The Smart Device System for Movement Disorders: Preliminary Evaluation of Diagnostic Accuracy in a Prospective Study.

Studies in health technology and informatics Jun 16, 2020
Consumer wearables can provide objective monitoring of movement disorders and may identify new phenotypical biomarkers. We present a novel smartwatch-based prototype, which is implemented as a prospective study in neurology. A full-stack Machine Lear...
Support Vector Machine Parkinson Disease Humans Machine Learning Prospective Studies Neural Networks, Computer
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