AIMC Topic: Humans

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Versatility of fuzzy logic in chronic diseases: A review.

Medical hypotheses Nov 27, 2018
The review aims at providing current state of evidence in the field of medicine with fuzzy logic for diagnosing diseases. Literature reveals that fuzzy logic has been used effectively in medicine. Different types of methodologies have been applied to...
Humans Neural Networks, Computer Software Algorithms Normal Distribution Diabetes Mellitus Celiac Disease Fuzzy Logic Chronic Disease Biopsy
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Metal artifact reduction on cervical CT images by deep residual learning.

Biomedical engineering online Nov 27, 2018
BACKGROUND: Cervical cancer is the fifth most common cancer among women, which is the third leading cause of cancer death in women worldwide. Brachytherapy is the most effective treatment for cervical cancer. For brachytherapy, computed tomography (C...
Cervix Uteri Artifacts Humans Tomography, X-Ray Computed Female Deep Learning Metals Image Processing, Computer-Assisted
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A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning.

Scientific reports Nov 27, 2018
Cervical spondylosis (CS), a most common orthopedic diseases, is mainly identified by the doctor's judgment from the clinical symptoms and cervical change provided by expensive instruments in hospital. Owing to the development of the surface electrom...
Female Male Electromyography Tendons Spondylosis Humans Machine Learning
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Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study.

PLoS medicine Nov 27, 2018
BACKGROUND: The current acute kidney injury (AKI) risk prediction model for patients undergoing percutaneous coronary intervention (PCI) from the American College of Cardiology (ACC) National Cardiovascular Data Registry (NCDR) employed regression te...
Decision Support Techniques Retrospective Studies Acute Kidney Injury Clinical Decision-Making Female Reproducibility of Results Risk Factors Aged Humans Machine Learning Protective Factors Treatment Outcome Registries Percutaneous Coronary Intervention Data Mining Male Middle Aged Risk Assessment Time Factors
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Mobile detection of autism through machine learning on home video: A development and prospective validation study.

PLoS medicine Nov 27, 2018
BACKGROUND: The standard approaches to diagnosing autism spectrum disorder (ASD) evaluate between 20 and 100 behaviors and take several hours to complete. This has in part contributed to long wait times for a diagnosis and subsequent delays in access...
Video Recording Remote Consultation Early Diagnosis Autistic Disorder Child Behavior Adolescent Behavior Age Factors Predictive Value of Tests Feasibility Studies Adolescent Time Factors Child, Preschool Child Humans Machine Learning Prospective Studies Female Male Reproducibility of Results Infant Diagnosis, Computer-Assisted
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Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

PLoS medicine Nov 27, 2018
BACKGROUND: Magnetic resonance imaging (MRI) of the knee is the preferred method for diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject to diagnostic error and variability. An automated system for interpreting...
Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Female Reproducibility of Results Young Adult Adult Tibial Meniscus Injuries Anterior Cruciate Ligament Injuries Knee Magnetic Resonance Imaging Predictive Value of Tests Image Interpretation, Computer-Assisted Automation Humans Databases, Factual Retrospective Studies
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Machine learning in population health: Opportunities and threats.

PLoS medicine Nov 27, 2018
Abraham D. Flaxman and Theo Vos of the Institute for Health Metrics and Evaluation, University of Washington, discuss near-term applications for ML in population health and name their priorities for ongoing ML development.
Humans Machine Learning Automation Population Health Databases, Factual Confidentiality Data Mining Diffusion of Innovation
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Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.

PLoS medicine Nov 27, 2018
BACKGROUND: Pythia is an automated, clinically curated surgical data pipeline and repository housing all surgical patient electronic health record (EHR) data from a large, quaternary, multisite health institute for data science initiatives. In an eff...
Comorbidity Adolescent Health Status Data Mining Male Retrospective Studies Middle Aged Surgical Procedures, Operative Electronic Health Records Humans Risk Assessment Risk Factors Female Automation Machine Learning Postoperative Complications Aged Reproducibility of Results Young Adult Adult
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Prediction of findings at screening colonoscopy using a machine learning algorithm based on complete blood counts (ColonFlag).

PloS one Nov 27, 2018
Adenomatous polyps are a common precursor lesion for colorectal cancer. ColonFlag is a machine- learning-based algorithm that uses basic patient information and complete blood cell counts (CBC) to identify individuals at elevated risk of colorectal c...
Mass Screening Colorectal Neoplasms Blood Cell Count Male Middle Aged Colonoscopy Humans Machine Learning Female Aged
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A deep learning model for the detection of both advanced and early glaucoma using fundus photography.

PloS one Nov 27, 2018
PURPOSE: To build a deep learning model to diagnose glaucoma using fundus photography.
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Logistic Models Humans Fundus Oculi Glaucoma Image Interpretation, Computer-Assisted Cross-Sectional Studies Diagnostic Techniques, Ophthalmological Disease Progression Deep Learning ROC Curve
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