AIMC Topic: Predictive Value of Tests

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Machine-learned selection of psychological questionnaire items relevant to the development of persistent pain after breast cancer surgery.

British journal of anaesthesia Jul 31, 2018
BACKGROUND: Prevention of persistent pain after breast cancer surgery, via early identification of patients at high risk, is a clinical need. Psychological factors are among the most consistently proposed predictive parameters for the development of ...
Humans Machine Learning Pain Measurement Psychiatric Status Rating Scales Pain, Postoperative Depression Mastectomy Surveys and Questionnaires Chronic Pain Cohort Studies Anger Predictive Value of Tests Female Adult Breast Neoplasms Middle Aged Anxiety
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Detection of early infarction signs with machine learning-based diagnosis by means of the Alberta Stroke Program Early CT score (ASPECTS) in the clinical routine.

Neuroradiology Jul 31, 2018
PURPOSE: New software solutions emerged to support radiologists in image interpretation in acute ischemic stroke. This study aimed to validate the performance of computer-aided assessment of the Alberta Stroke Program Early CT score (ASPECTS) for det...
Brain Ischemia Observer Variation Alberta Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Stroke Infarction, Middle Cerebral Artery Humans Machine Learning Software Tomography, X-Ray Computed Female
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RETRACTED: Diagnosis labeling with disease-specific characteristics mining.

Artificial intelligence in medicine Jul 31, 2018
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been retracted at the request of the authors; serious errors had been introd...
Support Vector Machine Cluster Analysis Humans Predictive Value of Tests Data Mining Databases, Factual Pattern Recognition, Automated Intensive Care Units Electronic Health Records Diagnosis, Computer-Assisted
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Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR.

The international journal of cardiovascular imaging Jul 30, 2018
To explore the diagnostic performance of a machine-learning-based (ML-based) computed fractional flow reserve (cFFR) derived from coronary computed tomography angiography (CCTA) in identifying ischemia-causing lesions verified by invasive FFR in cath...
Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Humans Machine Learning Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Multidetector Computed Tomography Computed Tomography Angiography Coronary Stenosis Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Fractional Flow Reserve, Myocardial Cardiac Catheters
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Estimating risk of severe neonatal morbidity in preterm births under 32 weeks of gestation.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Jul 18, 2018
A large recent study analyzed the relationship between multiple factors and neonatal outcome and in preterm births. Study variables included the reason for admission, indication for delivery, optimal steroid use, gestational age, and other potential...
Risk Factors Adult Male Risk Assessment Infant Prognosis Pregnancy Female Infant, Newborn Premature Birth Gestational Age Stillbirth Infant, Premature, Diseases Severity of Illness Index Diagnostic Techniques, Obstetrical and Gynecological Humans Predictive Value of Tests Infant, Small for Gestational Age Machine Learning Morbidity Prospective Studies Probability Infant Mortality
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A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy.

Gastrointestinal endoscopy Jul 11, 2018
BACKGROUND AND AIMS: GI angiectasia (GIA) is the most common small-bowel (SB) vascular lesion, with an inherent risk of bleeding. SB capsule endoscopy (SB-CE) is the currently accepted diagnostic procedure. The aim of this study was to develop a comp...
Middle Aged Diagnosis, Computer-Assisted Predictive Value of Tests Female Capsule Endoscopy Aged Intestine, Small Aged, 80 and over Sensitivity and Specificity Intestinal Diseases Humans Male Angiodysplasia Neural Networks, Computer Algorithms
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Digital Image Analysis with Fully Connected Convolutional Neural Network to Facilitate Hysteroscopic Fibroid Resection.

Gynecologic and obstetric investigation Jul 5, 2018
AIMS: The study aimed to determine the accuracy of deep neural network in identifying the plane between myoma and normal myometrium.
Adult Uterine Myomectomy Myometrium Image Processing, Computer-Assisted Humans Predictive Value of Tests Neural Networks, Computer Leiomyoma Retrospective Studies Hysteroscopy Female
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Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma.

Computers in biology and medicine Jun 28, 2018
Papillary Renal Cell Carcinoma (PRCC) is a heterogeneous disease with variations in disease progression and clinical outcomes. The advent of next generation sequencing techniques (NGS) has generated data from patients that can be analysed to develop ...
Humans Predictive Value of Tests Male Machine Learning Models, Biological Female Disease Progression Kidney Neoplasms Transcriptome Carcinoma, Renal Cell Sequence Analysis, RNA Gene Expression Regulation, Neoplastic
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A meta-learning framework using representation learning to predict drug-drug interaction.

Journal of biomedical informatics Jun 26, 2018
MOTIVATION: Predicting Drug-Drug Interaction (DDI) has become a crucial step in the drug discovery and development process, owing to the rise in the number of drugs co-administered with other drugs. Consequently, the usage of computational methods fo...
Algorithms Drug Design Technology, Pharmaceutical Computational Biology Software Pharmaceutical Preparations Drug Development Predictive Value of Tests Drug Interactions Supervised Machine Learning Drug-Related Side Effects and Adverse Reactions Probability
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An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest.

Journal of the American Heart Association Jun 26, 2018
BACKGROUND: In-hospital cardiac arrest is a major burden to public health, which affects patient safety. Although traditional track-and-trigger systems are used to predict cardiac arrest early, they have limitations, with low sensitivity and high fal...
Time Factors Inpatients Predictive Value of Tests Early Diagnosis Vital Signs Heart Arrest Resuscitation Seoul Humans Male Female Decision Support Techniques Middle Aged Reproducibility of Results Risk Assessment Prognosis Risk Factors Diagnosis, Computer-Assisted Retrospective Studies Aged Deep Learning Adult
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