AIMC Topic: Aged, 80 and over
Clear Filters Showing 2261 to 2270 of 3475 articles
Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine.
IEEE journal of biomedical and health informatics
Feb 13, 2019
The diagnosis of type 2 diabetes (T2D) at an early stage has a key role for an adequate T2D integrated management system and patient's follow-up. Recent years have witnessed an increasing amount of available electronic health record (EHR) data and ma...
Differentiating kidney stones from phleboliths in unenhanced low-dose computed tomography using radiomics and machine learning.
European radiology
Feb 12, 2019
OBJECTIVES: Distinguishing between kidney stones and phleboliths can constitute a diagnostic challenge in patients undergoing unenhanced low-dose CT (LDCT) for acute flank pain. We sought to investigate the accuracy of radiomics and a machine-learnin...
Application of an artificial neural network model for early outcome prediction of gamma knife radiosurgery in patients with trigeminal neuralgia and determining the relative importance of risk factors.
Clinical neurology and neurosurgery
Feb 12, 2019
OBJECTIVES: Stereotactic radiosurgery (SRS) is a minimally invasive modality for the treatment of trigeminal neuralgia (TN). Outcome prediction of this modality is very important for proper case selection. The aim of this study was to create artifici...
Radiosurgery
Middle Aged
Trigeminal Neuralgia
Depression
Kaplan-Meier Estimate
Follow-Up Studies
Adolescent
Aged
Humans
Predictive Value of Tests
Treatment Outcome
Aged, 80 and over
Diabetes Mellitus
Neural Networks, Computer
Pain Measurement
Young Adult
Prognosis
Neurosurgical Procedures
Adult
Female
Radiation Dosage
Male
Risk Factors
New Approaches for the Treatment of Delirium: A Case for Robotic Pets.
The American journal of medicine
Feb 7, 2019
Semi-supervised learning to improve generalizability of risk prediction models.
Journal of biomedical informatics
Feb 7, 2019
The utility of a prediction model depends on its generalizability to patients drawn from different but related populations. We explored whether a semi-supervised learning model could improve the generalizability of colorectal cancer (CRC) risk predic...
Prediction of IDH1 Mutation Status in Glioblastoma Using Machine Learning Technique Based on Quantitative Radiomic Data.
World neurosurgery
Feb 5, 2019
OBJECTIVE: Isocitrate dehydrogenase 1 (IDH1) mutation status is an independent favorable prognostic factor for glioblastoma (GBM) and is usually determined by sequencing or immunohistochemistry. An accurate prediction of IDH1 mutation status via noni...
Radiomics-based machine learning methods for isocitrate dehydrogenase genotype prediction of diffuse gliomas.
Journal of cancer research and clinical oncology
Feb 4, 2019
PURPOSE: Reliable and accurate predictive models are necessary to drive the success of radiomics. Our aim was to identify the optimal radiomics-based machine learning method for isocitrate dehydrogenase (IDH) genotype prediction in diffuse gliomas.
Automated selection of myocardial inversion time with a convolutional neural network: Spatial temporal ensemble myocardium inversion network (STEMI-NET).
Magnetic resonance in medicine
Feb 3, 2019
PURPOSE: Delayed enhancement imaging is an essential component of cardiac MRI, which is used widely for the evaluation of myocardial scar and viability. The selection of an optimal inversion time (TI) or null point (TI ) to suppress the background my...
Potential roles of artificial intelligence learning and faecal immunochemical testing for prioritisation of colonoscopy in anaemia.
British journal of haematology
Feb 3, 2019
Iron deficiency anaemia (IDA) is the most common cause of anaemia and a frequent indication for colonoscopy, although the prevalence of colorectal cancer (CRC) in IDA is low. Measurement of faecal haemoglobin by immunochemical techniques (FIT) is use...
Using machine learning to optimize selection of elderly patients for endovascular thrombectomy.
Journal of neurointerventional surgery
Feb 2, 2019
BACKGROUND: Endovascular thrombectomy (ET) is the standard of care for treatment of acute ischemic stroke (AIS) secondary to large vessel occlusion. The elderly population has been under-represented in clinical trials on ET, and recent studies have r...
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