AIMC Topic: ROC Curve

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Application of Machine Learning to Predict Patient No-Shows in an Academic Pediatric Ophthalmology Clinic.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Patient "no-shows" are missed appointments resulting in clinical inefficiencies, revenue loss, and discontinuity of care. Using secondary electronic health record (EHR) data, we used machine learning to predict patient no-shows in follow-up and new p...
Humans Child Machine Learning Ambulatory Care Facilities ROC Curve Electronic Health Records Ophthalmology Efficiency, Organizational Office Visits Appointments and Schedules Academic Medical Centers No-Show Patients
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Selection of Clinical Text Features for Classifying Suicide Attempts.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Research has demonstrated cohort misclassification when studies of suicidal thoughts and behaviors (STBs) rely on ICD-9/10-CM diagnosis codes. Electronic health record (EHR) data are being explored to better identify patients, a process called EHR ph...
Male Prevalence Suicide, Attempted Cohort Studies Phenotype Humans ROC Curve Electronic Health Records Natural Language Processing Machine Learning Female Data Mining Algorithms International Classification of Diseases
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Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management.

Sensors (Basel, Switzerland) Jan 24, 2021
The number of patients with cardiovascular diseases is rapidly increasing in the world. The workload of existing clinicians is consequently increasing. However, the number of cardiovascular clinicians is declining. In this paper, we aim to design a m...
Humans Cloud Computing Artificial Intelligence Cardiovascular Diseases China ROC Curve Intelligence
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Artificial intelligence for detection of periapical lesions on intraoral radiographs: Comparison between convolutional neural networks and human observers.

Oral surgery, oral medicine, oral pathology and oral radiology Jan 22, 2021
OBJECTIVE: The aim of this study was to compare the diagnostic performance of convolutional neural networks (CNNs) with the performance of human observers for the detection of simulated periapical lesions on periapical radiographs.
Radiologists Cattle ROC Curve Radiography Humans Neural Networks, Computer Artificial Intelligence Animals
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Machine Learning Approach for Intraocular Disease Prediction Based on Aqueous Humor Immune Mediator Profiles.

Ophthalmology Jan 21, 2021
PURPOSE: Various immune mediators have crucial roles in the pathogenesis of intraocular diseases. Machine learning can be used to automatically select and weigh various predictors to develop models maximizing predictive power. However, these techniqu...
Endophthalmitis Glaucoma, Open-Angle Reproducibility of Results Retinal Detachment Aged Aqueous Humor ROC Curve Immunoassay Aged, 80 and over Interleukins Intraocular Lymphoma Flow Cytometry Adult Area Under Curve Inflammation Mediators Retinal Necrosis Syndrome, Acute Cross-Sectional Studies Humans Eye Diseases Male Machine Learning Middle Aged Female Diagnosis, Computer-Assisted
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Development and validation of a deep-learning-based pediatric early warning system: A single-center study.

Biomedical journal Jan 18, 2021
BACKGROUND: Early detection and prompt intervention for clinically deteriorating events are needed to improve clinical outcomes. There have been several attempts at this, including the introduction of rapid response teams (RRTs) with early warning sc...
ROC Curve Heart Arrest Retrospective Studies Deep Learning Humans Child Intensive Care Units, Pediatric
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An objective structural and functional reference standard in glaucoma.

Scientific reports Jan 18, 2021
The current lack of consensus for diagnosing glaucoma makes it difficult to develop diagnostic tests derived from deep learning (DL) algorithms. In the present study, we propose an objective definition of glaucomatous optic neuropathy (GON) using cle...
Middle Aged Deep Learning ROC Curve Tomography, Optical Coherence Algorithms Female Male Fundus Oculi Optic Nerve Diseases Reference Standards Photography Humans Glaucoma
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QAIS-DSNN: Tumor Area Segmentation of MRI Image with Optimized Quantum Matched-Filter Technique and Deep Spiking Neural Network.

BioMed research international Jan 18, 2021
Tumor segmentation in brain MRI images is a noted process that can make the tumor easier to diagnose and lead to effective radiotherapy planning. Providing and building intelligent medical systems can be considered as an aid for physicians. In many c...
Brain Neoplasms Deep Learning ROC Curve Image Processing, Computer-Assisted Magnetic Resonance Imaging Signal-To-Noise Ratio Humans Neural Networks, Computer Algorithms
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Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting Clinically Significant Functional Improvement in a Mixed Population of Primary Hip Arthroscopy.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Jan 16, 2021
PURPOSE: To (1) develop and validate a machine learning algorithm to predict clinically significant functional improvements after hip arthroscopy for femoroacetabular impingement syndrome and to (2) develop a digital application capable of providing ...
Humans Algorithms Retrospective Studies Female Recovery of Function Male Supervised Machine Learning Activities of Daily Living Cohort Studies Patient Reported Outcome Measures ROC Curve Risk Factors Calibration Treatment Outcome Young Adult Arthroscopy Adult Hip Joint
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The Feature Ambiguity Mitigate Operator model helps improve bone fracture detection on X-ray radiograph.

Scientific reports Jan 15, 2021
This study was performed to propose a method, the Feature Ambiguity Mitigate Operator (FAMO) model, to mitigate feature ambiguity in bone fracture detection on radiographs of various body parts. A total of 9040 radiographic studies were extracted. Th...
Humans Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Wrist Shoulder X-Rays ROC Curve Fractures, Bone Area Under Curve Elbow
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