AIMC Topic:
ROC Curve

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Predictive model for acute respiratory distress syndrome events in ICU patients in China using machine learning algorithms: a secondary analysis of a cohort study.

Journal of translational medicine Oct 1, 2019
BACKGROUND: To develop a machine learning model for predicting acute respiratory distress syndrome (ARDS) events through commonly available parameters, including baseline characteristics and clinical and laboratory parameters.
Humans Machine Learning Algorithms China Cohort Studies ROC Curve Intensive Care Units Models, Theoretical Female Respiratory Distress Syndrome Aged Male Middle Aged
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Endocan serum concentration in uninfected newborn infants.

Journal of infection in developing countries Sep 30, 2019
INTRODUCTION: Endocan is a specific endothelial mediator involved in the inflammatory response. Its role in the diagnosis of sepsis has been studied in adult patients and late onset neonatal sepsis. The clinical signs of early onset sepsis (EOS) are ...
Protein Precursors Humans Male Biomarkers ROC Curve Female Predictive Value of Tests Infant, Newborn Infant, Premature Neonatal Sepsis
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Automated diagnosis and quantitative analysis of plus disease in retinopathy of prematurity based on deep convolutional neural networks.

Acta ophthalmologica Sep 27, 2019
BACKGROUND: The purpose of this study was to develop an automated diagnosis and quantitative analysis system for plus disease. The system provides a diagnostic decision but also performs quantitative analysis of the typical pathological features of t...
Image Interpretation, Computer-Assisted Infant, Premature Intravitreal Injections Ranibizumab Retinopathy of Prematurity Diagnosis, Computer-Assisted Deep Learning ROC Curve Angiogenesis Inhibitors Retinal Vessels Infant, Extremely Low Birth Weight Humans Infant, Newborn
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Development of a clinical support system for identifying social frailty.

International journal of medical informatics Sep 26, 2019
OBJECTIVE: Recognizing frailty, also known as clinical geriatric syndrome in the elderly that is characterized by high vulnerability and low resilience, and its extensive influence in clinical practice is challenging. This study aims to develop a soc...
Machine Learning Software Electronic Health Records Female Aged Cross-Sectional Studies Male Surveys and Questionnaires ROC Curve Frailty Humans Neural Networks, Computer Frail Elderly
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Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

Gastroenterology Sep 25, 2019
BACKGROUND & AIMS: Scoring systems are suboptimal for determining risk in patients with upper gastrointestinal bleeding (UGIB); these might be improved by a machine learning model. We used machine learning to develop a model to calculate the risk of ...
Middle Aged Female Risk Assessment ROC Curve Blood Transfusion Humans Aged Models, Biological Emergency Service, Hospital Machine Learning Aged, 80 and over Gastrointestinal Hemorrhage Prognosis Adult Hemostatic Techniques Male
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Towards early monitoring of chemotherapy-induced drug resistance based on single cell metabolomics: Combining single-probe mass spectrometry with machine learning.

Analytica chimica acta Sep 25, 2019
Despite the presence of methods evaluating drug resistance during chemotherapies, techniques, which allow for monitoring the degree of drug resistance in early chemotherapeutic stage from single cells in their native microenvironment, are still absen...
Proof of Concept Study Drug Resistance Irinotecan Single-Cell Analysis Mass Spectrometry Metabolomics HCT116 Cells Neural Networks, Computer Machine Learning Biomarkers Antineoplastic Agents ROC Curve Humans
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Diagnosis and classification of pediatric acute appendicitis by artificial intelligence methods: An investigator-independent approach.

PloS one Sep 25, 2019
Acute appendicitis is one of the major causes for emergency surgery in childhood and adolescence. Appendectomy is still the therapy of choice, but conservative strategies are increasingly being studied for uncomplicated inflammation. Diagnosis of acu...
Child Ultrasonography ROC Curve C-Reactive Protein Appendicitis Infant Diagnosis, Computer-Assisted Adolescent Child, Preschool Humans Artificial Intelligence Germany Machine Learning Algorithms Blood Cell Count Appendectomy Biomarkers Appendix Retrospective Studies Female Infant, Newborn Male
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Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs.

Ophthalmology Sep 24, 2019
PURPOSE: To develop and validate a deep learning (DL) algorithm that predicts referable glaucomatous optic neuropathy (GON) and optic nerve head (ONH) features from color fundus images, to determine the relative importance of these features in referr...
Datasets as Topic Nerve Fibers Optic Disk Retinal Ganglion Cells Optic Nerve Diseases Ophthalmologists Glaucoma, Open-Angle Middle Aged Specialization Deep Learning ROC Curve Area Under Curve Referral and Consultation Humans Retrospective Studies Female Aged Sensitivity and Specificity Male
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Using machine learning to understand neuromorphological change and image-based biomarker identification in Cavalier King Charles Spaniels with Chiari-like malformation-associated pain and syringomyelia.

Journal of veterinary internal medicine Sep 24, 2019
BACKGROUND: Chiari-like malformation (CM) is a complex malformation of the skull and cranial cervical vertebrae that potentially results in pain and secondary syringomyelia (SM). Chiari-like malformation-associated pain (CM-P) can be challenging to d...
Female Sensitivity and Specificity Animals Male ROC Curve Machine Learning Biomarkers Retrospective Studies Arnold-Chiari Malformation Area Under Curve Syringomyelia Dogs Dog Diseases Pain
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Detection of Hemodynamically Significant Coronary Stenosis: CT Myocardial Perfusion versus Machine Learning CT Fractional Flow Reserve.

Radiology Sep 24, 2019
Background Direct intraindividual comparison of dynamic CT myocardial perfusion imaging (MPI) and machine learning (ML)-based CT fractional flow reserve (FFR) has not been explored for diagnosing hemodynamically significant coronary artery disease. P...
Coronary Stenosis Fractional Flow Reserve, Myocardial ROC Curve Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Tomography, X-Ray Computed Female Aged Aged, 80 and over Humans Adult Sensitivity and Specificity Machine Learning Male Prospective Studies Middle Aged Severity of Illness Index Hemodynamics
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