AIMC Topic: Predictive Value of Tests

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A parsimonious 3-gene signature predicts clinical outcomes in an acute myeloid leukemia multicohort study.

Blood advances Apr 23, 2019
Acute myeloid leukemia (AML) is a genetically heterogeneous hematological malignancy with variable responses to chemotherapy. Although recurring cytogenetic abnormalities and gene mutations are important predictors of outcome, 50% to 70% of AMLs harb...
Child, Preschool Child Gene Expression Regulation, Neoplastic Databases, Genetic Neoplasm Proteins Predictive Value of Tests Male Middle Aged Risk Assessment Infant Adolescent Models, Biological Disease-Free Survival Humans Neural Networks, Computer Female Infant, Newborn Adult Survival Rate Leukemia, Myeloid, Acute
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Prediction of ISUP grading of clear cell renal cell carcinoma using support vector machine model based on CT images.

Medicine Apr 1, 2019
BACKGROUND: To explore whether radiomics combined with computed tomography (CT) images can be used to establish a model for differentiating high grade (International Society of Urological Pathology [ISUP] grade III-IV) from low-grade (ISUP I-II) clea...
Female Male Middle Aged ROC Curve Support Vector Machine Diagnosis, Differential Humans Retrospective Studies Tomography, X-Ray Computed Predictive Value of Tests Area Under Curve Neoplasm Grading Kidney Neoplasms Carcinoma, Renal Cell
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Common Audiological Functional Parameters (CAFPAs): statistical and compact representation of rehabilitative audiological classification based on expert knowledge.

International journal of audiology Apr 1, 2019
OBJECTIVE: As a step towards objectifying audiological rehabilitation and providing comparability between different test batteries and clinics, the Common Audiological Functional Parameters (CAFPAs) were introduced as a common and abstract representa...
Expert Systems Hearing Tests Audiology Correction of Hearing Impairment Hearing Disorders Humans Machine Learning Reproducibility of Results Predictive Value of Tests Data Interpretation, Statistical Probability
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Machine learning-based predictors for immune checkpoint inhibitor therapy of non-small-cell lung cancer.

Annals of oncology : official journal of the European Society for Medical Oncology Apr 1, 2019
Models, Genetic Carcinoma, Non-Small-Cell Lung Predictive Value of Tests Mutation Biopsy Programmed Cell Death 1 Receptor Male Middle Aged Lung Lung Neoplasms B7-H1 Antigen Drug Resistance, Neoplasm Humans Machine Learning Aged Aged, 80 and over Adult Biomarkers, Tumor
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Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm.

Journal of digital imaging Apr 1, 2019
To develop a convolutional neural network (CNN) algorithm that can predict the molecular subtype of a breast cancer based on MRI features. An IRB-approved study was performed in 216 patients with available pre-treatment MRIs and immunohistochemical s...
Female Sensitivity and Specificity Humans Breast Neoplasms Neural Networks, Computer Magnetic Resonance Imaging Algorithms Predictive Value of Tests Retrospective Studies Image Interpretation, Computer-Assisted
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Detection of Left Ventricular Hypertrophy Using Bayesian Additive Regression Trees: The MESA.

Journal of the American Heart Association Mar 5, 2019
Background We developed a new left ventricular hypertrophy ( LVH ) criterion using a machine-learning technique called Bayesian Additive Regression Trees ( BART ). Methods and Results This analysis included 4714 participants from MESA (Multi-Ethnic S...
Decision Trees Predictive Value of Tests Bayes Theorem Ventricular Remodeling Hypertrophy, Left Ventricular Ventricular Function, Left Middle Aged Female Humans Diagnosis, Computer-Assisted Reproducibility of Results Machine Learning United States Aged Electrocardiography Aged, 80 and over Magnetic Resonance Imaging Male
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Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.

Investigative ophthalmology & visual science Mar 1, 2019
PURPOSE: To develop deep learning (DL) models for the automatic detection of optical coherence tomography (OCT) measures of diabetic macular thickening (MT) from color fundus photographs (CFPs).
False Positive Reactions Humans Intravitreal Injections Diabetic Retinopathy Diagnostic Techniques, Ophthalmological Predictive Value of Tests Photography Neural Networks, Computer Macula Lutea Tomography, Optical Coherence Ranibizumab Male Retrospective Studies Fundus Oculi Middle Aged Female Macular Edema Deep Learning Sensitivity and Specificity Vascular Endothelial Growth Factor A Angiogenesis Inhibitors Image Interpretation, Computer-Assisted Randomized Controlled Trials as Topic
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Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations.

Stroke Mar 1, 2019
Background and Purpose- Triaging of referrals to transient ischemic attack (TIA) clinics is aided by risk stratification. Deep learning-based natural language processing, a type of machine learning, may be able to assist with the prediction of cerebr...
Area Under Curve Cerebrovascular Disorders False Positive Reactions Ischemic Attack, Transient Treatment Outcome Magnetic Resonance Imaging Predictive Value of Tests Triage Natural Language Processing Aged, 80 and over Male Middle Aged Risk Assessment Deep Learning Humans Neural Networks, Computer Machine Learning Female Aged
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Network Tomography for Understanding Phenotypic Presentations in Aortic Stenosis.

JACC. Cardiovascular imaging Feb 1, 2019
OBJECTIVES: This study sought to build a patient-patient similarity network using multiple features of left ventricular (LV) structure and function in patients with aortic stenosis (AS). The study further validated the observations in an experimental...
Image Interpretation, Computer-Assisted Heart Valve Prosthesis Implantation Balloon Valvuloplasty Aged, 80 and over Echocardiography Disease Models, Animal Humans Cross-Sectional Studies Middle Aged Aortic Valve Stenosis Machine Learning Animals Disease Progression Aortic Valve Female Male Severity of Illness Index Predictive Value of Tests Reproducibility of Results Ventricular Function, Left Time Factors Mice, Knockout Aged Heart Ventricles
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Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Feb 1, 2019
AIMS: Electrical storm (ES) is a serious arrhythmic syndrome that is characterized by recurrent episodes of ventricular arrhythmias. Electrical storm is associated with increased mortality and morbidity despite the use of implantable cardioverter-def...
Databases, Factual Reproducibility of Results Risk Factors Tachycardia, Ventricular Risk Assessment Humans Time Factors Defibrillators, Implantable Predictive Value of Tests Machine Learning Treatment Outcome Electric Countershock Remote Sensing Technology Ventricular Fibrillation Signal Processing, Computer-Assisted Heart Failure Heart Rate
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