AIMC Topic:
ROC Curve

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Diagnostic value of spirometry vs impulse oscillometry: A comparative study in children with sickle cell disease.

Pediatric pulmonology Jun 18, 2019
BACKGROUND: Spirometry is conventionally used to diagnose airway diseases in children with sickle cell disease (C-SCD). However, spirometry is difficult for younger children to perform, is effort dependent, and it provides limited information on resp...
Oscillometry Child ROC Curve Anemia, Sickle Cell Respiratory Function Tests Spirometry Respiratory Mechanics Vital Capacity Bronchodilator Agents Humans Machine Learning Retrospective Studies Lung Case-Control Studies Adolescent Child, Preschool Female Asthma Male
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Detecting mitotic cells in HEp-2 images as anomalies via one class classifier.

Computers in biology and medicine Jun 17, 2019
We propose a novel framework for classification of mitotic v/s non-mitotic cells in a Computer Aided Diagnosis (CAD) system for Anti-Nuclear Antibodies (ANA) detection. In the proposed work, due to unique characteristics (the rare occurrence) of the ...
Humans Neural Networks, Computer Cell Line, Tumor ROC Curve Image Processing, Computer-Assisted Support Vector Machine Autoimmune Diseases Mitosis Antibodies, Antinuclear
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A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial.

International journal of radiation oncology, biology, physics Jun 13, 2019
PURPOSE: Xerostomia commonly occurs in patients who undergo head and neck radiation therapy and can seriously affect patients' quality of life. In this study, we developed a xerostomia prediction model with radiation treatment data using a 3-dimensio...
Deep Learning ROC Curve Logistic Models Squamous Cell Carcinoma of Head and Neck Humans Retrospective Studies Tomography, X-Ray Computed Radiotherapy, Image-Guided Laryngeal Neoplasms Pharyngeal Neoplasms Oropharyngeal Neoplasms Area Under Curve Parotid Gland Radiotherapy Planning, Computer-Assisted Radiotherapy, Conformal Submandibular Gland Xerostomia Hypopharyngeal Neoplasms
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Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.

BMC bioinformatics Jun 13, 2019
BACKGROUND: Ontology has attracted substantial attention from both academia and industry. Handling uncertainty reasoning is important in researching ontology. For example, when a patient is suffering from cirrhosis, the appearance of abdominal vein v...
Bayes Theorem Algorithms Knowledge Bases Humans Probability Electronic Health Records Diagnostic Techniques and Procedures ROC Curve Disease Area Under Curve
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Using machine learning to predict one-year cardiovascular events in patients with severe dilated cardiomyopathy.

European journal of radiology Jun 11, 2019
PURPOSE: Dilated cardiomyopathy (DCM) is a common form of cardiomyopathy and it is associated with poor outcomes. A poor prognosis of DCM patients with low ejection fraction has been noted in the short-term follow-up. Machine learning (ML) could aid ...
Male Middle Aged ROC Curve Bayes Theorem Prognosis Cardiomyopathy, Dilated Female Aged Adult Humans Machine Learning Algorithms
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Deep Learning for the Radiographic Detection of Periodontal Bone Loss.

Scientific reports Jun 11, 2019
We applied deep convolutional neural networks (CNNs) to detect periodontal bone loss (PBL) on panoramic dental radiographs. We synthesized a set of 2001 image segments from panoramic radiographs. Our reference test was the measured % of PBL. A deep f...
Alveolar Bone Loss ROC Curve Radiography Databases as Topic Dentists Humans Reproducibility of Results Deep Learning
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Using Machine Learning Algorithms to Predict Hepatitis B Surface Antigen Seroclearance.

Computational and mathematical methods in medicine Jun 11, 2019
Hepatitis B surface antigen (HBsAg) seroclearance during treatment is associated with a better prognosis among patients with chronic hepatitis B (CHB). Significant gaps remain in our understanding on how to predict HBsAg seroclearance accurately and ...
Sensitivity and Specificity Male Middle Aged Area Under Curve China Hepatitis B, Chronic Prognosis Humans ROC Curve Hepatitis B Surface Antigens Female Machine Learning DNA, Viral Reproducibility of Results Computer Simulation Regression Analysis Adult Decision Trees
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Design and Implementation of a Machine Learning Based EEG Processor for Accurate Estimation of Depth of Anesthesia.

IEEE transactions on biomedical circuits and systems Jun 10, 2019
Accurate monitoring of the depth of anesthesia (DoA) is essential for intraoperative and postoperative patient's health. Commercially available electroencephalograph (EEG)-based DoA monitors are recommended only for certain anesthetic drugs and speci...
Humans Machine Learning Algorithms Electroencephalography Aged Equipment Design Adult Anesthesia Middle Aged Fourier Analysis ROC Curve
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Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.

International journal of medical informatics Jun 8, 2019
BACKGROUND: Last-minute surgery cancellation represents a major wastage of resources and can cause significant inconvenience to patients. Our objectives in this study were: 1) To develop predictive models of last-minute surgery cancellation, utilizin...
ROC Curve Humans Machine Learning Logistic Models Electronic Health Records Data Mining Child General Surgery
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Prediction models for high risk of suicide in Korean adolescents using machine learning techniques.

PloS one Jun 6, 2019
OBJECTIVE: Suicide in adolescents is a major problem worldwide and previous history of suicide ideation and attempt represents the strongest predictors of future suicidal behavior. The aim of this study was to develop prediction model to identify Kor...
Machine Learning Republic of Korea Female Risk Factors Humans Logistic Models Models, Theoretical Multivariate Analysis Male Adolescent Suicide ROC Curve
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