AIMC Topic:
Predictive Value of Tests

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Natural Language Processing of Radiology Reports in Patients With Hepatocellular Carcinoma to Predict Radiology Resource Utilization.

Journal of the American College of Radiology : JACR Mar 2, 2019
OBJECTIVE: Radiology is a finite health care resource in high demand at most health centers. However, anticipating fluctuations in demand is a challenge because of the inherent uncertainty in disease prognosis. The aim of this study was to explore th...
Female Aged Sensitivity and Specificity Male Middle Aged Humans Machine Learning Databases, Factual Health Resources ROC Curve Liver Neoplasms Predictive Value of Tests Carcinoma, Hepatocellular Natural Language Processing Retrospective Studies Research Report Ontario Area Under Curve Tomography, X-Ray Computed Radiology Information Systems Radiology Department, Hospital
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Model-based hearing diagnostics based on wideband tympanometry measurements utilizing fuzzy arithmetic.

Hearing research Feb 28, 2019
Today's audiometric methods for the diagnosis of middle ear disease are often based on a comparison of measurements with standard curves, that represent the statistical range of normal hearing responses. Because of large inter-individual variances in...
Joints Ligaments Tympanic Membrane Ear, Middle Ear Diseases Models, Theoretical Fuzzy Logic Cluster Analysis Humans Predictive Value of Tests Ear Canal Reproducibility of Results Hearing Acoustic Impedance Tests Ear Ossicles
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Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy (HCM-VAr-Risk Model).

The American journal of cardiology Feb 27, 2019
Clinical risk stratification for sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HC) employs rules derived from American College of Cardiology Foundation/American Heart Association (ACCF/AHA) guidelines or the HCM Risk-SCD model (C-index ∼...
Tachycardia, Ventricular Risk Assessment Humans Female Echocardiography, Stress Machine Learning Electrocardiography Reproducibility of Results Prognosis Magnetic Resonance Imaging, Cine Predictive Value of Tests Retrospective Studies Risk Factors Registries Electronic Health Records Male Cardiomyopathy, Hypertrophic Middle Aged
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Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.

Medical image analysis Feb 27, 2019
Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer patients. Assessment of tumor proliferation in a clinical setting is a highly subjective and labor-intensive task. Previous efforts to automate tumor prolifera...
Female Cell Proliferation Breast Neoplasms Predictive Value of Tests Biomarkers, Tumor Humans Gene Expression Deep Learning Prognosis Mitosis Image Processing, Computer-Assisted Pathology
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A novel machine-learning-based infection screening system via 2013-2017 seasonal influenza patients' vital signs as training datasets.

The Journal of infection Feb 22, 2019
Mass Screening Female Predictive Value of Tests Aged Influenza, Human Aged, 80 and over Vital Signs Humans Young Adult Sensitivity and Specificity Clinical Decision Rules Adult Machine Learning Male Middle Aged Adolescent Child
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The Early Psychosis Screener for Internet (EPSI)-SR: Predicting 12 month psychotic conversion using machine learning.

Schizophrenia research Feb 15, 2019
INTRODUCTION: A faster and more accurate self-report screener for early psychosis is needed to promote early identification and intervention.
Humans Machine Learning Risk Assessment Diagnosis, Computer-Assisted Support Vector Machine Predictive Value of Tests Internet Psychotic Disorders Early Diagnosis
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Application of an artificial neural network model for early outcome prediction of gamma knife radiosurgery in patients with trigeminal neuralgia and determining the relative importance of risk factors.

Clinical neurology and neurosurgery Feb 12, 2019
OBJECTIVES: Stereotactic radiosurgery (SRS) is a minimally invasive modality for the treatment of trigeminal neuralgia (TN). Outcome prediction of this modality is very important for proper case selection. The aim of this study was to create artifici...
Aged Aged, 80 and over Young Adult Adult Male Humans Middle Aged Radiosurgery Neural Networks, Computer Depression Follow-Up Studies Trigeminal Neuralgia Prognosis Adolescent Predictive Value of Tests Kaplan-Meier Estimate Treatment Outcome Pain Measurement Female Diabetes Mellitus Risk Factors Neurosurgical Procedures Radiation Dosage
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A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.

Journal of clinical epidemiology Feb 11, 2019
OBJECTIVES: The objective of this study was to compare performance of logistic regression (LR) with machine learning (ML) for clinical prediction modeling in the literature.
Humans Algorithms Sensitivity and Specificity Logistic Models Models, Theoretical Predictive Value of Tests Area Under Curve Supervised Machine Learning Outcome Assessment, Health Care
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An integrated molecular diagnostic report for heart transplant biopsies using an ensemble of diagnostic algorithms.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation Feb 6, 2019
BACKGROUND: We previously reported a microarray-based diagnostic system for heart transplant endomyocardial biopsies (EMBs), using either 3-archetype (3AA) or 4-archetype (4AA) unsupervised algorithms to estimate rejection. In the present study we ex...
Pathology, Molecular Predictive Value of Tests Graft Rejection Myocardium Heart Failure Heart Transplantation Young Adult Adult Male Middle Aged Risk Assessment Adolescent Cohort Studies Child, Preschool Child ROC Curve Humans Machine Learning Algorithms Female Aged
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The use of artificial neural network analysis can improve the risk-stratification of patients presenting with suspected deep vein thrombosis.

British journal of haematology Feb 6, 2019
Artificial neural networks are machine-learning algorithms designed to analyse data without a pre-existing hypothesis as to any associations that may exist. This technique has not previously been applied to the risk stratification of patients referre...
Adult Male Middle Aged Risk Assessment Ultrasonography Venous Thrombosis Predictive Value of Tests False Negative Reactions Proof of Concept Study Neural Networks, Computer Fibrin Fibrinogen Degradation Products Humans Algorithms Biomarkers Retrospective Studies Female
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