AIMC Topic: Humans

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Machine learning modeling for predicting hospital readmission following lumbar laminectomy.

Journal of neurosurgery. Spine Dec 7, 2018
In BriefAuthors of this study analyzed hospital readmissions following laminectomy and developed predictive models to identify readmitted patients with an accuracy >95% when using all variables and >79% when using only predischarge variables. A model...
Spinal Fusion Lumbar Vertebrae Patient Readmission Laminectomy Humans Adult Machine Learning Middle Aged Risk Factors Elective Surgical Procedures Aged Registries
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Editorial. Pediatric stereoelectroencephalography: review of a cohort.

Journal of neurosurgery. Pediatrics Dec 7, 2018
Electroencephalography Stereotaxic Techniques Humans Cohort Studies Child Robotics
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Contrast enhancement is a prognostic factor in IDH1/2 mutant, but not in wild-type WHO grade II/III glioma as confirmed by machine learning.

European journal of cancer (Oxford, England : 1990) Dec 7, 2018
BACKGROUND: Mutation of the isocitrate dehydrogenase (IDH) gene and co-deletion on chromosome 1p/19q is becoming increasingly relevant for the evaluation of clinical outcome in glioma. Among the imaging parameters, contrast enhancement (CE) in WHO II...
Female Survival Rate Brain Neoplasms Male Humans Machine Learning Prognosis Retrospective Studies Magnetic Resonance Imaging Mutation World Health Organization Isocitrate Dehydrogenase Middle Aged Glioma Follow-Up Studies Contrast Media Radiographic Image Enhancement
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The Role of Artificial Intelligence in Interventional Oncology: A Primer.

Journal of vascular and interventional radiology : JVIR Dec 7, 2018
Liver Neoplasms Workflow Patient Selection Machine Learning Humans Diffusion of Innovation Forecasting Neural Networks, Computer Medical Oncology Clinical Decision-Making Artificial Intelligence Radiography, Interventional Diagnosis, Computer-Assisted
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Combined molecular dynamics and neural network method for predicting protein antifreeze activity.

Proceedings of the National Academy of Sciences of the United States of America Dec 7, 2018
Antifreeze proteins (AFPs) are a diverse class of proteins that depress the kinetically observable freezing point of water. AFPs have been of scientific interest for decades, but the lack of an accurate model for predicting AFP activity has hindered ...
Models, Theoretical Kinetics Molecular Dynamics Simulation Crystallization Freezing Protein Conformation Thermodynamics Antifreeze Proteins Neural Networks, Computer Temperature Animals Water Humans
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Application of a deep convolutional neural network in the diagnosis of neonatal ocular fundus hemorrhage.

Bioscience reports Dec 7, 2018
There is a disparity between the increasing application of digital retinal imaging to neonatal ocular screening and slowly growing number of pediatric ophthalmologists. Assistant tools that can automatically detect ocular disorders may be needed. In ...
Humans Fundus Oculi Retina Hemorrhage Retinal Diseases Neural Networks, Computer Infant, Newborn Cross-Sectional Studies Image Processing, Computer-Assisted
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Feasibility of Reidentifying Individuals in Large National Physical Activity Data Sets From Which Protected Health Information Has Been Removed With Use of Machine Learning.

JAMA network open Dec 7, 2018
IMPORTANCE: Despite data aggregation and removal of protected health information, there is concern that deidentified physical activity (PA) data collected from wearable devices can be reidentified. Organizations collecting or distributing such data s...
Middle Aged Accelerometry Exercise Support Vector Machine Female Adolescent Biometric Identification Humans Confidentiality Computer Security Child Machine Learning Young Adult Feasibility Studies Fitness Trackers Databases, Factual Adult Medical Informatics Male
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Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data.

JAMA network open Dec 7, 2018
IMPORTANCE: Accurate prediction of outcomes among patients in intensive care units (ICUs) is important for clinical research and monitoring care quality. Most existing prediction models do not take full advantage of the electronic health record, usin...
Humans Critical Care Outcomes Retrospective Studies Critical Illness Severity of Illness Index Aged, 80 and over Intensive Care Units Models, Statistical Adult Natural Language Processing Male Middle Aged Electronic Health Records Female Reproducibility of Results Aged
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Association Between Early Intravenous Fluids Provided by Paramedics and Subsequent In-Hospital Mortality Among Patients With Sepsis.

JAMA network open Dec 7, 2018
IMPORTANCE: Early administration of intravenous fluids is recommended for all patients with sepsis, but the association of this treatment with mortality may depend on the patient's initial blood pressure.
Aged, 80 and over Male Middle Aged Sepsis Cohort Studies Emergency Medical Services Blood Pressure Fluid Therapy Humans Female Aged
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A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008-2017.

BMC medical informatics and decision making Dec 7, 2018
BACKGROUND: The application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitative comparison on the research ...
Taiwan PubMed Information Storage and Retrieval Electronic Health Records Humans China Artificial Intelligence United States Bibliometrics
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