AIMC Topic:
Predictive Value of Tests

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Neural networks versus Logistic regression for 30 days all-cause readmission prediction.

Scientific reports Jun 26, 2019
Heart failure (HF) is one of the leading causes of hospital admissions in the US. Readmission within 30 days after a HF hospitalization is both a recognized indicator for disease progression and a source of considerable financial burden to the health...
Male Middle Aged Deep Learning ROC Curve Logistic Models United States Predictive Value of Tests Area Under Curve Heart Failure Probability Neural Networks, Computer Machine Learning Algorithms Patient Readmission Female False Positive Reactions Aged Risk Humans
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Gastroenterologist-Level Identification of Small-Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-Learning Model.

Gastroenterology Jun 25, 2019
BACKGROUND & AIMS: Capsule endoscopy has revolutionized investigation of the small bowel. However, this technique produces a video that is 8-10 hours long, so analysis is time consuming for gastroenterologists. Deep convolutional neural networks (CNN...
Intestine, Small Intestinal Diseases Gastroenterologists Humans Diagnosis, Differential Retrospective Studies Prognosis Predictive Value of Tests Reproducibility of Results Image Interpretation, Computer-Assisted Deep Learning Observer Variation China Capsule Endoscopy Clinical Competence
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Scoring of Coronary Artery Disease Characteristics on Coronary CT Angiograms by Using Machine Learning.

Radiology Jun 25, 2019
Background Coronary CT angiography contains prognostic information but the best method to extract these data remains unknown. Purpose To use machine learning to develop a model of vessel features to discriminate between patients with and without subs...
Computed Tomography Angiography Young Adult Adult Male Middle Aged Female Severity of Illness Index Reproducibility of Results Predictive Value of Tests Risk Factors Coronary Angiography Aged Coronary Artery Disease Aged, 80 and over Image Interpretation, Computer-Assisted Humans Coronary Vessels Machine Learning
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Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.

Circulation. Arrhythmia and electrophysiology Jun 20, 2019
BACKGROUND: Cardiac resynchronization therapy (CRT) has significant nonresponse rates. We assessed whether machine learning (ML) could predict CRT response beyond current guidelines.
Humans Machine Learning Decision Support Techniques Male Ventricular Function, Left Stroke Volume Echocardiography Middle Aged Retrospective Studies Clinical Decision-Making Female Risk Factors Aged Heart-Assist Devices Heart Transplantation Ohio Patient Selection Baltimore Heart Failure Cardiac Resynchronization Therapy Progression-Free Survival Risk Assessment Practice Guidelines as Topic Disease Progression Time Factors Recovery of Function Predictive Value of Tests
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Automatic Segmentation, Detection, and Diagnosis of Abdominal Aortic Aneurysm (AAA) Using Convolutional Neural Networks and Hough Circles Algorithm.

Cardiovascular engineering and technology Jun 19, 2019
PURPOSE: An abdominal aortic aneurysm (AAA) is known as a cardiovascular disease involving localized deformation (swelling or enlargement) of aorta occurring between the renal and iliac arteries. AAA would jeopardize patients' lives due to its ruptur...
Computed Tomography Angiography Aortography Predictive Value of Tests Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted Automation Aorta, Abdominal Humans Neural Networks, Computer Prognosis Reproducibility of Results Case-Control Studies
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Using natural language processing of clinical text to enhance identification of opioid-related overdoses in electronic health records data.

Pharmacoepidemiology and drug safety Jun 19, 2019
PURPOSE: To enhance automated methods for accurately identifying opioid-related overdoses and classifying types of overdose using electronic health record (EHR) databases.
Drug Overdose Self-Injurious Behavior Risk Heroin Washington Predictive Value of Tests Natural Language Processing Analgesics, Opioid Opioid-Related Disorders Datasets as Topic Humans Electronic Health Records Sensitivity and Specificity
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Collateral Automation for Triage in Stroke: Evaluating Automated Scoring of Collaterals in Acute Stroke on Computed Tomography Scans.

Cerebrovascular diseases (Basel, Switzerland) Jun 19, 2019
Computed tomography angiography (CTA) collateral scoring can identify patients most likely to benefit from mechanical thrombectomy and those more likely to have good outcomes and ranges from 0 (no collaterals) to 3 (complete collaterals). In this stu...
Automation Computed Tomography Angiography Predictive Value of Tests Blood Flow Velocity Humans Cerebral Angiography Triage Thrombectomy Machine Learning Collateral Circulation Radiographic Image Interpretation, Computer-Assisted Cerebrovascular Circulation Prognosis Stroke Middle Cerebral Artery Clinical Decision-Making Patient Selection
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Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms.

Radiology Jun 18, 2019
Background Computational models on the basis of deep neural networks are increasingly used to analyze health care data. However, the efficacy of traditional computational models in radiology is a matter of debate. Purpose To evaluate the accuracy and...
Radiographic Image Interpretation, Computer-Assisted Breast Breast Neoplasms Middle Aged Deep Learning Mammography Predictive Value of Tests Retrospective Studies Humans Electronic Health Records Female Reproducibility of Results Sensitivity and Specificity
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Comparison of F-FDG avidity at PET of benign and malignant pure ground-glass opacities: a paradox? Part II: artificial neural network integration of the PET/CT characteristics of ground-glass opacities to predict their likelihood of malignancy.

Clinical radiology Jun 12, 2019
AIM: To assess the ability of artificial neural networks (ANNs) to predict the likelihood of malignancy of pure ground-glass opacities (GGOs), using observations from computed tomography (CT) and 2-[F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission...
Humans Neural Networks, Computer Retrospective Studies Predictive Value of Tests Positron Emission Tomography Computed Tomography Radiographic Image Interpretation, Computer-Assisted Radiopharmaceuticals Fluorodeoxyglucose F18 Female Adult Male Lung Neoplasms Diagnosis, Differential
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Uncovering the structure of self-regulation through data-driven ontology discovery.

Nature communications May 24, 2019
Psychological sciences have identified a wealth of cognitive processes and behavioral phenomena, yet struggle to produce cumulative knowledge. Progress is hamstrung by siloed scientific traditions and a focus on explanation over prediction, two issue...
Datasets as Topic Individuality Self-Control Psychometrics Humans Data Science Adult Predictive Value of Tests Self Report Knowledge Bases
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