AIMC Topic:
Predictive Value of Tests

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Identification of postoperative complications using electronic health record data and machine learning.

American journal of surgery Oct 9, 2019
BACKGROUND: Using the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) complication status of patients who underwent an operation at the University of Colorado Hospital, we developed a machine learning algorithm for ...
Predictive Value of Tests Quality Improvement Postoperative Complications ROC Curve United States Models, Statistical Aged Adult Male Middle Aged Machine Learning Algorithms Databases, Factual Electronic Health Records Female Humans
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Identification of a blood-based 12-gene signature that predicts the severity of coronary artery stenosis: An integrative approach based on gene network construction, Support Vector Machine algorithm, and multi-cohort validation.

Atherosclerosis Oct 9, 2019
BACKGROUND AND AIMS: We aimed to identify a blood-based gene expression score (GES) to predict the severity of coronary artery stenosis in patients with known or suspected coronary artery disease (CAD) by integrative use of gene network construction,...
Male Support Vector Machine Transcriptome Middle Aged Predictive Value of Tests Severity of Illness Index China Coronary Stenosis Gene Expression Profiling Gene Regulatory Networks Humans Genetic Predisposition to Disease Decision Support Techniques Nomograms Phenotype Retrospective Studies Female Reproducibility of Results Risk Factors Aged
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A trial on artificial neural networks in predicting sex through bone length measurements on the first and fifth phalanges and metatarsals.

Computers in biology and medicine Oct 8, 2019
BACKGROUND: Predicting sex is an important problem in forensic medicine. The femur, patella, mandible and calcaneus bones are frequently used in predicting sex. In our study, we aimed to use the artificial neural network (ANN) technique to predict se...
Humans Neural Networks, Computer Databases, Factual Toe Phalanges Female Adult Male Middle Aged Predictive Value of Tests Radiography Sex Determination by Skeleton Metatarsal Bones
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Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment.

Radiology Oct 8, 2019
Background Men suspected of having clinically significant prostate cancer (sPC) increasingly undergo prostate MRI. The potential of deep learning to provide diagnostic support for human interpretation requires further evaluation. Purpose To compare t...
Male Humans Middle Aged Predictive Value of Tests Retrospective Studies Deep Learning Prostatic Neoplasms Magnetic Resonance Imaging Aged Sensitivity and Specificity Biopsy
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Machine learning in cardiovascular magnetic resonance: basic concepts and applications.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Oct 7, 2019
Machine learning (ML) is making a dramatic impact on cardiovascular magnetic resonance (CMR) in many ways. This review seeks to highlight the major areas in CMR where ML, and deep learning in particular, can assist clinicians and engineers in improvi...
Image Interpretation, Computer-Assisted Coronary Circulation Myocardial Perfusion Imaging Magnetic Resonance Imaging, Cine Unsupervised Machine Learning Predictive Value of Tests Myocardium Supervised Machine Learning Reproducibility of Results Cardiovascular Diseases Diagnosis, Computer-Assisted Deep Learning Humans Machine Learning
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Risk prediction of new AF: is there a role for artificial intelligence?

European journal of preventive cardiology Oct 4, 2019
Humans Heart Rate Artificial Intelligence Risk Factors Predictive Value of Tests Atrial Fibrillation
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[Prediction of chemotherapy response in primary osteosarcoma using the machine learning technique on radiomic data].

Bulletin du cancer Oct 3, 2019
INTRODUCTION: Osteosarcoma is the most common malignant bone tumor before 25 years of age. Response to neoadjuvant chemotherapy determines continuation of treatment and is also a powerful prognostic factor. There are currently no reliable ways to eva...
Adolescent Child, Preschool Child Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Young Adult Sensitivity and Specificity Male Infant Predictive Value of Tests France Analysis of Variance Chemotherapy, Adjuvant Neoadjuvant Therapy Magnetic Resonance Imaging Osteosarcoma Bone Neoplasms Humans Machine Learning Retrospective Studies Female Infant, Newborn
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Potential of automatic diagnosis system with linked color imaging for diagnosis of Helicobacter pylori infection.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Oct 2, 2019
BACKGROUND AND AIM: It is necessary to establish universal methods for endoscopic diagnosis of Helicobacter pylori (HP) infection, such as computer-aided diagnosis. In the present study, we propose a multistage diagnosis algorithm for HP infection.
Support Vector Machine Reproducibility of Results Predictive Value of Tests Aged Helicobacter Infections Endoscopy Humans Aged, 80 and over Helicobacter pylori Male Retrospective Studies Adult Middle Aged Female Diagnosis, Computer-Assisted Clinical Competence
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Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Oct 2, 2019
BACKGROUND AND AIM: Although small-bowel angioectasia is reported as the most common cause of bleeding in patients and frequently diagnosed by capsule endoscopy (CE) in patients with obscure gastrointestinal bleeding, a computer-aided detection metho...
Humans Neural Networks, Computer Retrospective Studies Female Aged ROC Curve Predictive Value of Tests Capsule Endoscopy Gastrointestinal Hemorrhage Intestine, Small Dilatation, Pathologic Male Middle Aged Deep Learning
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Machine Learning Approaches to Predict 6-Month Mortality Among Patients With Cancer.

JAMA network open Oct 2, 2019
IMPORTANCE: Machine learning algorithms could identify patients with cancer who are at risk of short-term mortality. However, it is unclear how different machine learning algorithms compare and whether they could prompt clinicians to have timely conv...
Machine Learning Female Aged Male Middle Aged Humans Risk Assessment Neoplasms Predictive Value of Tests
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