AIMC Topic: Machine Learning

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Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data.

PloS one Feb 22, 2019
BACKGROUND: Rapid antibiotic administration is known to improve sepsis outcomes, however early diagnosis remains challenging due to complex presentation. Our objective was to develop a model using readily available electronic health record (EHR) data...
Male Electronic Health Records Female Infant Infant, Newborn Diagnosis, Computer-Assisted Humans Machine Learning Retrospective Studies Sepsis Models, Biological Critical Care
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Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study.

PloS one Feb 22, 2019
Limited health literacy is a barrier to optimal healthcare delivery and outcomes. Current measures requiring patients to self-report limitations are time-consuming and may be considered intrusive by some. This makes widespread classification of patie...
Electronic Mail Male California Physician-Patient Relations Diabetes Mellitus Demography Computer Security Data Mining Humans Natural Language Processing Health Literacy Physicians, Primary Care Machine Learning Female
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Implementing artificial neural networks through bionic construction.

PloS one Feb 22, 2019
It is evident through biology research that, biological neural network could be implemented through two means: by congenital heredity, or by posteriority learning. However, traditionally, artificial neural network, especially the Deep learning Neural...
Color Pattern Recognition, Automated Drosophila melanogaster Visual Perception Bionics Nerve Net Movement Machine Learning Algorithms Animals Neural Networks, Computer Artificial Intelligence Visual Pathways
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Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying.

Surgical endoscopy Feb 21, 2019
INTRODUCTION: The most common way of assessing surgical performance is by expert raters to view a surgical task and rate a trainee's performance. However, there is huge potential for automated skill assessment and workflow analysis using modern techn...
Humans Neural Networks, Computer Machine Learning Decision Trees Laparoscopy Workflow Silicon Algorithms Clinical Competence Ontario Suture Techniques Models, Anatomic
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Contrastive Hebbian learning with random feedback weights.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2019
Neural networks are commonly trained to make predictions through learning algorithms. Contrastive Hebbian learning, which is a powerful rule inspired by gradient backpropagation, is based on Hebb's rule and the contrastive divergence algorithm. It op...
Feedback Neural Networks, Computer Machine Learning
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Network abnormalities among non-manifesting Parkinson disease related LRRK2 mutation carriers.

Human brain mapping Feb 21, 2019
Non-manifesting carriers (NMC) of the G2019S mutation in the LRRK2 gene represent an "at risk" group for future development of Parkinson's disease (PD) and have demonstrated task related fMRI changes. However, resting-state networks have received les...
Leucine-Rich Repeat Serine-Threonine Protein Kinase-2 Nerve Net Heterozygote Cerebrum Female Humans Middle Aged Parkinson Disease Adult Machine Learning Magnetic Resonance Imaging Connectome Male
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Machine Learning Identifies Chemical Characteristics That Promote Enzyme Catalysis.

Journal of the American Chemical Society Feb 21, 2019
Despite tremendous progress in understanding and engineering enzymes, knowledge of how enzyme structures and their dynamics induce observed catalytic properties is incomplete, and capabilities to engineer enzymes fall far short of industrial needs. H...
Protein Conformation Monte Carlo Method Substrate Specificity Ketol-Acid Reductoisomerase Machine Learning Molecular Dynamics Simulation Biocatalysis
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Streamlining Quality Review of Mass Spectrometry Data in the Clinical Laboratory by Use of Machine Learning.

Archives of pathology & laboratory medicine Feb 20, 2019
CONTEXT.—: Turnaround time and productivity of clinical mass spectrometric (MS) testing are hampered by time-consuming manual review of the analytical quality of MS data before release of patient results.
Retrospective Studies Reproducibility of Results Mass Spectrometry Machine Learning Gas Chromatography-Mass Spectrometry Reference Standards Algorithms Humans Dronabinol Automation, Laboratory Clinical Laboratory Techniques
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Machine Learning, Natural Language Processing, and the Electronic Health Record: Innovations in Mental Health Services Research.

Psychiatric services (Washington, D.C.) Feb 20, 2019
An unprecedented amount of clinical information is now available via electronic health records (EHRs). These massive data sets have stimulated opportunities to adapt computational approaches to track and identify target areas for quality improvement ...
Mental Health Services Natural Language Processing Health Services Research Humans Machine Learning Electronic Health Records
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Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data.

Sensors (Basel, Switzerland) Feb 20, 2019
The physiological monitoring of older people using wearable sensors has shown great potential in improving their quality of life and preventing undesired events related to their health status. Nevertheless, creating robust predictive models from data...
Exercise Wearable Electronic Devices Monitoring, Physiologic Machine Learning Algorithms Female Male Quality of Life Aged Aged, 80 and over Humans Neural Networks, Computer
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