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Showing 1541 to 1550 of 1686 articles

The effects of deep network topology on mortality prediction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Deep learning has achieved remarkable results in the areas of computer vision, speech recognition, natural language processing and most recently, even playing Go. The application of deep-learning to problems in healthcare, however, has gained attenti...
Female Natural Language Processing Machine Learning Reproducibility of Results Algorithms Odds Ratio Logistic Models Male Electronic Health Records Mortality Models, Statistical Regression Analysis Humans Neural Networks, Computer
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Identification of promising research directions using machine learning aided medical literature analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
The rapidly expanding corpus of medical research literature presents major challenges in the understanding of previous work, the extraction of maximum information from collected data, and the identification of promising research directions. We presen...
Humans Machine Learning Research Publications
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Prediction using patient comparison vs. modeling: a case study for mortality prediction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Information in Electronic Medical Records (EMRs) can be used to generate accurate predictions for the occurrence of a variety of health states, which can contribute to more pro-active interventions. The very nature of EMRs does make the application o...
Mortality Electronic Health Records Time Factors Models, Theoretical Humans Algorithms
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Towards sophisticated learning from EHRs: increasing prediction specificity and accuracy using clinically meaningful risk criteria.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Computer based analysis of Electronic Health Records (EHRs) has the potential to provide major novel insights of benefit both to specific individuals in the context of personalized medicine, as well as on the level of population-wide health care and ...
Stroke Markov Chains Risk Algorithms Electronic Health Records Sensitivity and Specificity Humans
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Detection of mitotic nuclei in breast histopathology images using localized ACM and Random Kitchen Sink based classifier.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
The exact measure of mitotic nuclei is a crucial parameter in breast cancer grading and prognosis. This can be achieved by improving the mitotic detection accuracy by careful design of segmentation and classification techniques. In this paper, segmen...
Humans Algorithms Prognosis Image Processing, Computer-Assisted Mitosis Breast Female Cell Nucleus Breast Neoplasms ROC Curve
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A machine learning framework for auto classification of imaging system exams in hospital setting for utilization optimization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
In clinical environment, Interventional X-Ray (IXR) system is used on various anatomies and for various types of the procedures. It is important to classify correctly each exam of IXR system into respective procedures and/or assign to correct anatomy...
Radiology, Interventional X-Rays Appointments and Schedules Pattern Recognition, Automated Hospital Information Systems Support Vector Machine Decision Trees Humans Neural Networks, Computer Machine Learning Algorithms Hospitals
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Risk prediction for cardiovascular disease using ECG data in the China kadoorie biobank.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
We set out to use machine learning techniques to analyse ECG data to improve risk evaluation of cardiovascular disease in a very large cohort study of the Chinese population. We performed this investigation by (i) detecting "abnormality" using 3 one-...
Cohort Studies Electrocardiography Regression Analysis Cardiovascular Diseases Risk Assessment China Arrhythmias, Cardiac Probability Blood Pressure Area Under Curve Biological Specimen Banks Humans Machine Learning Databases, Factual Reproducibility of Results
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A machine learning based approach for identifying traumatic brain injury patients for whom a head CT scan can be avoided.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Head CT scan is more often used to evaluate patients with suspected traumatic brain injury (TBI). However, the use of head CT scans in evaluating TBI is costly with low value endeavor. In this paper, we propose a new algorithm and a set of features t...
Humans Sensitivity and Specificity Machine Learning Canada Algorithms Brain Injuries Brain Injuries, Traumatic Tomography, X-Ray Computed Unnecessary Procedures
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Measuring the quality of exercises.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This work explores the problem of exercise quality measurement since it is essential for effective management of diseases like cerebral palsy (CP). This work examines the assessment of quality of large amplitude movement (LAM) exercises designed to t...
Quality Control Support Vector Machine Decision Trees Exercise Therapy Humans Neural Networks, Computer Algorithms Exercise
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Highly sensitive detection of human cancer antigens by an immunogold-silver assay chip coupled with a polythiophene-based optical sensor.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This work presents a novel method for protein or cancer antigen detection in clinical samples by an immunogold-silver assay microfluidic biochip coupled with a polythiophene-based organic photodetector. The method has showed a detection limit below 1...
Silver Humans Microfluidics Neoplasms Immunohistochemistry Biosensing Techniques Antigens, Neoplasm Limit of Detection
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