AIMC Topic:
Predictive Value of Tests

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Using Machine Learning to Aid the Interpretation of Urine Steroid Profiles.

Clinical chemistry Aug 10, 2018
BACKGROUND: Urine steroid profiles are used in clinical practice for the diagnosis and monitoring of disorders of steroidogenesis and adrenal pathologies. Machine learning (ML) algorithms are powerful computational tools used extensively for the reco...
Predictive Value of Tests Datasets as Topic Clinical Chemistry Tests Adrenal Gland Diseases Humans Machine Learning Algorithms Steroids Decision Support Systems, Clinical
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Boosting support vector machines for cancer discrimination tasks.

Computers in biology and medicine Aug 10, 2018
Cancer is a complex disease that is caused by rapid alteration of genes. Prediction of the state of cancer in advance contributes to a better understanding of its mechanism and improves the cancer therapy process. For example, predicting the malignan...
Humans Neoplasms Gene Expression Regulation, Neoplastic Support Vector Machine Predictive Value of Tests Models, Biological
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Structural neuroimaging as clinical predictor: A review of machine learning applications.

NeuroImage. Clinical Aug 10, 2018
In this paper, we provide an extensive overview of machine learning techniques applied to structural magnetic resonance imaging (MRI) data to obtain clinical classifiers. We specifically address practical problems commonly encountered in the literatu...
Neuroimaging Humans Nervous System Diseases Machine Learning Brain Predictive Value of Tests
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Cardiac Phase Space Tomography: A novel method of assessing coronary artery disease utilizing machine learning.

PloS one Aug 8, 2018
BACKGROUND: Artificial intelligence (AI) techniques are increasingly applied to cardiovascular (CV) medicine in arenas ranging from genomics to cardiac imaging analysis. Cardiac Phase Space Tomography Analysis (cPSTA), employing machine-learned linea...
Multidetector Computed Tomography Female Aged Sensitivity and Specificity Middle Aged Humans Male Machine Learning Predictive Value of Tests Algorithms Coronary Angiography Coronary Artery Disease Diagnostic Techniques, Cardiovascular
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Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 2, 2018
BACKGROUND: The objective of this study was to investigate, in subject with stroke, the exact role as prognostic factor of common inflammatory biomarkers and other markers in predicting motor and/or cognitive improvement after rehabilitation treatmen...
Longitudinal Studies Health Status Linear Models Inpatients Humans Motor Skills Male Disability Evaluation Recovery of Function Machine Learning Leukocyte Count Time Factors Stroke Predictive Value of Tests Decision Support Techniques Cognition Motor Activity Hematocrit Biomarkers Treatment Outcome Stroke Rehabilitation Inflammation Mediators Female
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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 ...
Adult Breast Neoplasms Middle Aged Anxiety Psychiatric Status Rating Scales Humans Machine Learning Female Pain Measurement Pain, Postoperative Mastectomy Chronic Pain Anger Depression Surveys and Questionnaires Cohort Studies Predictive Value of Tests
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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...
Humans Machine Learning Software Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Alberta Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Stroke Male Infarction, Middle Cerebral Artery Middle Aged Brain Ischemia Predictive Value of Tests Observer Variation
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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...
Pattern Recognition, Automated Diagnosis, Computer-Assisted Support Vector Machine Cluster Analysis Predictive Value of Tests Humans Data Mining Databases, Factual Intensive Care Units Electronic Health Records
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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...
Fractional Flow Reserve, Myocardial Cardiac Catheters Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Humans Multidetector Computed Tomography Middle Aged Computed Tomography Angiography Machine Learning Severity of Illness Index Coronary Stenosis Retrospective Studies Predictive Value of Tests Coronary Angiography Female Reproducibility of Results Aged Aged, 80 and over Male
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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 Assessment Infant Severity of Illness Index Predictive Value of Tests Morbidity Premature Birth Risk Factors Adult Male Infant, Premature, Diseases Diagnostic Techniques, Obstetrical and Gynecological Infant, Small for Gestational Age Probability Infant Mortality Gestational Age Stillbirth Humans Machine Learning Prospective Studies Prognosis Pregnancy Female Infant, Newborn
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