AIMC Topic: Humans

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DeepNEU: cellular reprogramming comes of age - a machine learning platform with application to rare diseases research.

Orphanet journal of rare diseases Jan 10, 2019
BACKGROUND: Conversion of human somatic cells into induced pluripotent stem cells (iPSCs) is often an inefficient, time consuming and expensive process. Also, the tendency of iPSCs to revert to their original somatic cell type over time continues to ...
Induced Pluripotent Stem Cells Rett Syndrome Myocytes, Cardiac Rare Diseases Fibroblasts Cell Differentiation Neurons Humans Machine Learning Cellular Reprogramming
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Artificial intelligence in the intensive care unit.

Critical care (London, England) Jan 10, 2019
Artificial Intelligence Decision Support Techniques Intensive Care Units Critical Care Humans
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A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records.

BMC medical informatics and decision making Jan 10, 2019
BACKGROUND: Adverse drug events (ADEs) as well as other preventable adverse events in the hospital setting incur a yearly monetary cost of approximately $3.5 billion, in the United States alone. Therefore, it is of paramount importance to reduce the ...
Humans Machine Learning Drug-Related Side Effects and Adverse Reactions Data Mining Electronic Health Records Medical Informatics Applications Hospitals Models, Statistical
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A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection.

Journal of medical systems Jan 10, 2019
Advances in the medical industry has become a major trend because of the new developments in information technologies. This research offers a novel approach for estimating the smart medical devices (SMDs) selection process in a group decision making ...
Humans Fuzzy Logic Decision Making Blood Glucose Self-Monitoring Decision Support Techniques Wearable Electronic Devices Diabetes Mellitus
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Prediction of Recurrence after Transsphenoidal Surgery for Cushing's Disease: The Use of Machine Learning Algorithms.

Neuroendocrinology Jan 10, 2019
BACKGROUND: There are no reliable predictive models for recurrence after transsphenoidal surgery (TSS) for Cushing's disease (CD).
Recurrence Pituitary ACTH Hypersecretion Male Models, Statistical Data Mining Young Adult Adult Humans Machine Learning Algorithms Retrospective Studies Female Risk Factors
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Automatic lung nodule detection using multi-scale dot nodule-enhancement filter and weighted support vector machines in chest computed tomography.

PloS one Jan 10, 2019
A novel CAD scheme for automated lung nodule detection is proposed to assist radiologists with the detection of lung cancer on CT scans. The proposed scheme is composed of four major steps: (1) lung volume segmentation, (2) nodule candidate extractio...
Solitary Pulmonary Nodule False Positive Reactions Imaging, Three-Dimensional Lung Neoplasms Support Vector Machine Humans Algorithms Tomography, X-Ray Computed Lung
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Computational prediction of diagnosis and feature selection on mesothelioma patient health records.

PloS one Jan 10, 2019
BACKGROUND: Mesothelioma is a lung cancer that kills thousands of people worldwide annually, especially those with exposure to asbestos. Diagnosis of mesothelioma in patients often requires time-consuming imaging techniques and biopsies. Machine lear...
Humans Computational Biology Regression Analysis Health Records, Personal Machine Learning Female Male Mesothelioma
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Deep learning for image analysis: Personalizing medicine closer to the point of care.

Critical reviews in clinical laboratory sciences Jan 10, 2019
The precision-based revolution in medicine continues to demand stratification of patients into smaller and more personalized subgroups. While genomic technologies have largely led this movement, diagnostic results can take days to weeks to generate. ...
Deep Learning Humans Pattern Recognition, Automated Neural Networks, Computer Precision Medicine Point-of-Care Systems Diagnosis, Computer-Assisted
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Role of interleukin-3 as a prognostic marker in septic patients.

Revista Brasileira de terapia intensiva Jan 10, 2019
OBJECTIVE: To evaluate the accuracy of IL-3 to predict the outcome of septic patients.
Shock, Septic Reproducibility of Results Prognosis Predictive Value of Tests Sensitivity and Specificity Aged Intensive Care Units Sepsis Interleukin-3 Humans Adult Male Cohort Studies Female Prospective Studies Middle Aged Hospital Mortality
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Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework.

IEEE journal of biomedical and health informatics Jan 9, 2019
The accumulating evidences regarding circular RNAs (circRNAs) indicate that they play crucial roles in a wide range of biological processes and participate in tumorigenesis and progression. The number of newly discovered circRNAs have increased drama...
Computational Biology Area Under Curve Coronary Artery Disease RNA, Circular Machine Learning Humans Algorithms Neoplasms
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