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ROC Curve

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Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints.

Acta orthopaedica Feb 12, 2021
Background and purpose - Machine learning (ML) techniques are a form of artificial intelligence able to analyze big data. Analyzing the outcome of (digital) questionnaires, ML might recognize different patterns in answers that might relate to differe...
Emergency Medical Services Tendinopathy Medical History Taking Osteoarthritis, Hip Bursitis Humans Surveys and Questionnaires ROC Curve Diagnosis, Differential Predictive Value of Tests Machine Learning Female Aged Male Middle Aged
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A Low-Cost Three-Dimensional DenseNet Neural Network for Alzheimer's Disease Early Discovery.

Sensors (Basel, Switzerland) Feb 11, 2021
Alzheimer's disease is the most prevalent dementia among the elderly population. Early detection is critical because it can help with future planning for those potentially affected. This paper uses a three-dimensional DenseNet architecture to detect ...
Magnetic Resonance Imaging Aged Humans Alzheimer Disease Neural Networks, Computer Aged, 80 and over Early Diagnosis Female Male Reproducibility of Results Middle Aged ROC Curve
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A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation.

Journal of medical Internet research Feb 10, 2021
BACKGROUND: Predicting early respiratory failure due to COVID-19 can help triage patients to higher levels of care, allocate scarce resources, and reduce morbidity and mortality by appropriately monitoring and treating the patients at greatest risk f...
Hospitalization Aged Male Middle Aged Respiration, Artificial COVID-19 Retrospective Studies Female SARS-CoV-2 Respiratory Insufficiency Patient Admission Intubation, Intratracheal Early Warning Score Clinical Decision Rules Hospitals ROC Curve Logistic Models Triage Emergency Service, Hospital Humans Machine Learning
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Classification of COVID-19 by Compressed Chest CT Image through Deep Learning on a Large Patients Cohort.

Interdisciplinary sciences, computational life sciences Feb 9, 2021
Corona Virus Disease (COVID-19) has spread globally quickly, and has resulted in a large number of causalities and medical resources insufficiency in many countries. Reverse-transcriptase polymerase chain reaction (RT-PCR) testing is adopted as biops...
Child ROC Curve Thorax Data Compression Infant Deep Learning Adolescent Cohort Studies Infant, Newborn Young Adult Child, Preschool Reproducibility of Results Humans Adult SARS-CoV-2 COVID-19 Male Aged Tomography, X-Ray Computed Middle Aged Aged, 80 and over Female
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Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality.

Nature biomedical engineering Feb 8, 2021
Machine learning promises to assist physicians with predictions of mortality and of other future clinical events by learning complex patterns from historical data, such as longitudinal electronic health records. Here we show that a convolutional neur...
Aged Male Echocardiography Middle Aged Humans Databases, Factual Retrospective Studies Electronic Health Records Deep Learning Female ROC Curve Heart Failure Survival Analysis Image Interpretation, Computer-Assisted
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Unsupervised Deep Anomaly Detection in Chest Radiographs.

Journal of digital imaging Feb 8, 2021
The purposes of this study are to propose an unsupervised anomaly detection method based on a deep neural network (DNN) model, which requires only normal images for training, and to evaluate its performance with a large chest radiograph dataset. We u...
Humans Neural Networks, Computer Female Male Middle Aged ROC Curve Radiography Radiologists Radiography, Thoracic
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Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras.

Ophthalmology. Retina Feb 6, 2021
PURPOSE: Stage is an important feature to identify in retinal images of infants at risk of retinopathy of prematurity (ROP). The purpose of this study was to implement a convolutional neural network (CNN) for binary detection of stages 1, 2, and 3 in...
Humans Female Infant, Newborn Reproducibility of Results Sensitivity and Specificity Gestational Age Retinopathy of Prematurity Photography Image Processing, Computer-Assisted North America Male Area Under Curve Nepal Diagnosis, Computer-Assisted Birth Weight Deep Learning Datasets as Topic ROC Curve Reference Standards
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Attention Guided Lymph Node Malignancy Prediction in Head and Neck Cancer.

International journal of radiation oncology, biology, physics Feb 6, 2021
PURPOSE: Accurate lymph node (LN) malignancy classification is essential for treatment target identification in head and neck cancer (HNC) radiation therapy. Given the constraints imposed by relatively small sample sizes in real-world medical applica...
Lymph Nodes Humans Head and Neck Neoplasms Neural Networks, Computer Lymphatic Metastasis Male Positron Emission Tomography Computed Tomography Deep Learning ROC Curve
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Comparison of multi-criteria and artificial intelligence models for land-subsidence susceptibility zonation.

Journal of environmental management Feb 5, 2021
Land subsidence (LS) in arid and semi-arid areas, such as Iran, is a significant threat to sustainable land management. The purpose of this study is to predict the LS distribution by generating land subsidence susceptibility models (LSSMs) for the Sh...
Artificial Intelligence ROC Curve Bayes Theorem Iran
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients.

Scientific reports Feb 5, 2021
Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesized that machine learning (ML) models could be used to predict risks at different stages of management and thereby provide insights into drivers and prognostic m...
Machine Learning COVID-19 Prospective Studies Computer Simulation Prognosis Humans Comorbidity ROC Curve Aged Hypertension Age Factors Aged, 80 and over Intensive Care Units Critical Care Body Mass Index Male Sex Factors Middle Aged Female Respiration, Artificial Risk Factors Hospitalization
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