AIMC Topic: Machine Learning

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Gating mass cytometry data by deep learning.

Bioinformatics (Oxford, England) Nov 1, 2017
MOTIVATION: Mass cytometry or CyTOF is an emerging technology for high-dimensional multiparameter single cell analysis that overcomes many limitations of fluorescence-based flow cytometry. New methods for analyzing CyTOF data attempt to improve autom...
Blood Cells Single-Cell Analysis Reference Standards Computational Biology Cell Separation Humans Flow Cytometry Calibration Machine Learning Reproducibility of Results
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Machine Learning Applications to Resting-State Functional MR Imaging Analysis.

Neuroimaging clinics of North America Nov 1, 2017
Machine learning is one of the most exciting and rapidly expanding fields within computer science. Academic and commercial research entities are investing in machine learning methods, especially in personalized medicine via patient-level classificati...
Rest Brain Diseases Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Humans Machine Learning Algorithms Brain
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Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks.

JAMA ophthalmology Nov 1, 2017
IMPORTANCE: Age-related macular degeneration (AMD) affects millions of people throughout the world. The intermediate stage may go undetected, as it typically is asymptomatic. However, the preferred practice patterns for AMD recommend identifying indi...
Humans Neural Networks, Computer Fundus Oculi Wet Macular Degeneration Machine Learning Algorithms Reproducibility of Results ROC Curve
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Machine learning for prediction of 30-day mortality after ST elevation myocardial infraction: An Acute Coronary Syndrome Israeli Survey data mining study.

International journal of cardiology Nov 1, 2017
BACKGROUND: Risk scores for prediction of mortality 30-days following a ST-segment elevation myocardial infarction (STEMI) have been developed using a conventional statistical approach.
Male Middle Aged Risk Assessment Surveys and Questionnaires Hospital Mortality ROC Curve ST Elevation Myocardial Infarction Registries Female Risk Factors Aged Data Mining Algorithms Survival Rate Humans Prognosis Israel Machine Learning Retrospective Studies Acute Coronary Syndrome
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Usual Interstitial Pneumonia Can Be Detected in Transbronchial Biopsies Using Machine Learning.

Annals of the American Thoracic Society Nov 1, 2017
RATIONALE: Usual interstitial pneumonia (UIP) is the histopathologic hallmark of idiopathic pulmonary fibrosis. Although UIP can be detected by high-resolution computed tomography of the chest, the results are frequently inconclusive, and pathology f...
Gene Expression Biopsy Logistic Models Sequence Analysis, RNA Idiopathic Pulmonary Fibrosis Diagnosis, Differential Adolescent Cohort Studies ROC Curve Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Middle Aged Lung Humans Machine Learning Tomography, X-Ray Computed Female
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Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2017
OBJECTIVES: Identifying all published reports of randomized controlled trials (RCTs) is an important aim, but it requires extensive manual effort to separate RCTs from non-RCTs, even using current machine learning (ML) approaches. We aimed to make th...
Crowdsourcing Databases, Bibliographic Natural Language Processing Review Literature as Topic Information Storage and Retrieval Machine Learning Biomedical Research ROC Curve Support Vector Machine Randomized Controlled Trials as Topic
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Machine Learning for Predicting Outcomes in Trauma.

Shock (Augusta, Ga.) Nov 1, 2017
To date, there are no reviews on machine learning (ML) for predicting outcomes in trauma. Consequently, it remains unclear as to how ML-based prediction models compare in the triage and assessment of trauma patients. The objective of this review was ...
Humans Machine Learning Wounds and Injuries Algorithms Prospective Studies Hospitalization Brain Injuries, Traumatic
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Calibration drift in regression and machine learning models for acute kidney injury.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2017
OBJECTIVE: Predictive analytics create opportunities to incorporate personalized risk estimates into clinical decision support. Models must be well calibrated to support decision-making, yet calibration deteriorates over time. This study explored the...
Humans Machine Learning Decision Support Techniques United States Bayes Theorem Acute Kidney Injury Aged Hospitals, Veterans Clinical Decision-Making Male Female Middle Aged Logistic Models
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EliIE: An open-source information extraction system for clinical trial eligibility criteria.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2017
OBJECTIVE: To develop an open-source information extraction system called Eligibility Criteria Information Extraction (EliIE) for parsing and formalizing free-text clinical research eligibility criteria (EC) following Observational Medical Outcomes P...
Eligibility Determination Machine Learning Humans Natural Language Processing Patient Selection Clinical Trials as Topic
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A Machine Learning-based Surface Electromyography Topography Evaluation for Prognostic Prediction of Functional Restoration Rehabilitation in Chronic Low Back Pain.

Spine Nov 1, 2017
STUDY DESIGN: A retrospective study.
Prognosis Retrospective Studies Female Adult Electromyography Humans Male Low Back Pain Machine Learning Middle Aged Physical Therapy Modalities Support Vector Machine Chronic Pain Recovery of Function
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