AIMC Topic: Predictive Value of Tests

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Feature-weighted survival learning machine for COPD failure prediction.

Artificial intelligence in medicine Mar 28, 2019
Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as hospital readmission and death in the United States, Canada and worldwide. COPD failure imposes a significant social and economic burden on society, and predicting su...
Humans Machine Learning Biomarkers Severity of Illness Index Time Factors ROC Curve Canada Age Factors Predictive Value of Tests Sex Factors Prognosis Patient Readmission Retrospective Studies Survival Analysis Proportional Hazards Models Electronic Health Records Hospitalization Female Risk Factors Aged Aged, 80 and over Pulmonary Disease, Chronic Obstructive Male Middle Aged
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Prediction of molecular subtypes of breast cancer using BI-RADS features based on a "white box" machine learning approach in a multi-modal imaging setting.

European journal of radiology Mar 21, 2019
PURPOSE: To develop and validate an interpretable and repeatable machine learning model approach to predict molecular subtypes of breast cancer from clinical metainformation together with mammography and MRI images.
Middle Aged Machine Learning Gene Expression Regulation, Neoplastic Retrospective Studies Multimodal Imaging Humans Female Predictive Value of Tests Adult Neoplasm Staging Breast Neoplasms
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Machine Learning Using CT-FFR Predicts Proximal Atherosclerotic Plaque Formation Associated With LAD Myocardial Bridging.

JACC. Cardiovascular imaging Mar 13, 2019
Computed Tomography Angiography Fractional Flow Reserve, Myocardial Myocardial Bridging Coronary Angiography Coronary Artery Disease Image Interpretation, Computer-Assisted Coronary Vessels Plaque, Atherosclerotic Humans Machine Learning Prognosis Retrospective Studies Female Risk Factors Aged Male Middle Aged Time Factors Predictive Value of Tests
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Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction.

Journal of cardiovascular electrophysiology Mar 10, 2019
OBJECTIVES: We sought to validate a deep learning algorithm designed to predict an ejection fraction (EF) less than or equal to 35% based on the 12-lead electrocardiogram (ECG) in a large prospective cohort.
Prognosis Female Reproducibility of Results Aged Aged, 80 and over Male Humans Prospective Studies Deep Learning Electrocardiography Predictive Value of Tests Ventricular Function, Left Signal Processing, Computer-Assisted Heart Rate Stroke Volume Ventricular Dysfunction, Left Echocardiography Middle Aged Diagnosis, Computer-Assisted
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Identification of esophageal cancer pathway deviation and construction of a diagnosis model using three kernel genes.

Journal of cellular physiology Mar 5, 2019
The purpose of this study is to better understand the role of interleukin 35 (IL35) in esophageal carcinoma by comparing the mRNA level in Barrett's esophageal mucosa and in matched normal squamous mucosa and to understand how the diagnosis model wor...
Humans Reproducibility of Results Biomarkers, Tumor Models, Genetic Databases, Genetic Early Detection of Cancer Nerve Tissue Proteins Predictive Value of Tests Esophageal Neoplasms Gene Expression Profiling Transcriptome Case-Control Studies Deep Learning Gene Expression Regulation, Neoplastic Cyclic AMP Response Element-Binding Protein Esophageal Squamous Cell Carcinoma Hepatocyte Nuclear Factor 1-beta Interleukin-12 Subunit p35
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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...
Research Report Radiology Information Systems Radiology Department, Hospital Sensitivity and Specificity Machine Learning Liver Neoplasms Male Databases, Factual Carcinoma, Hepatocellular Middle Aged Humans Retrospective Studies Ontario Health Resources Tomography, X-Ray Computed ROC Curve Predictive Value of Tests Female Natural Language Processing Aged Area Under Curve
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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...
Ligaments Tympanic Membrane Ear, Middle Ear Diseases Ear Canal Acoustic Impedance Tests Fuzzy Logic Cluster Analysis Predictive Value of Tests Hearing Humans Ear Ossicles Joints Reproducibility of Results Models, Theoretical
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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 ∼...
Risk Assessment Electrocardiography Predictive Value of Tests Registries Cardiomyopathy, Hypertrophic Female Tachycardia, Ventricular Humans Reproducibility of Results Echocardiography, Stress Machine Learning Magnetic Resonance Imaging, Cine Prognosis Risk Factors Retrospective Studies Male Electronic Health Records 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...
Mitosis Pathology Biomarkers, Tumor Deep Learning Humans Image Processing, Computer-Assisted Prognosis Cell Proliferation Female Predictive Value of Tests Breast Neoplasms Gene Expression
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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
Middle Aged Adolescent Child Mass Screening Predictive Value of Tests Influenza, Human Vital Signs Clinical Decision Rules Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Humans Machine Learning Female
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