AIMC Topic: Algorithms

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Blood glucose level prediction based on support vector regression using mobile platforms.

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 correct treatment of diabetes is vital to a patient's health: Staying within defined blood glucose levels prevents dangerous short- and long-term effects on the body. Mobile devices informing patients about their future blood glucose levels could...
Software Algorithms Computer Simulation Humans Support Vector Machine Regression Analysis Blood Glucose Self-Monitoring Blood Glucose Insulin Diabetes Mellitus, Type 1
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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...
Mortality Female Machine Learning Reproducibility of Results Natural Language Processing Algorithms Logistic Models Male Odds Ratio Electronic Health Records Models, Statistical Regression Analysis Humans Neural Networks, Computer
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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...
Humans Algorithms Mortality Electronic Health Records Time Factors Models, Theoretical
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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 Humans Electronic Health Records Markov Chains Algorithms Sensitivity and Specificity Risk
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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 Female Breast Neoplasms ROC Curve Cell Nucleus Image Processing, Computer-Assisted Mitosis Breast
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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...
Hospital Information Systems Radiology, Interventional X-Rays Appointments and Schedules Pattern Recognition, Automated Neural Networks, Computer Humans Machine Learning Algorithms Hospitals Support Vector Machine Decision Trees
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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...
Unnecessary Procedures Brain Injuries, Traumatic Brain Injuries Humans Machine Learning Algorithms Tomography, X-Ray Computed Sensitivity and Specificity Canada
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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...
Humans Neural Networks, Computer Decision Trees Exercise Therapy Quality Control Algorithms Exercise Support Vector Machine
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Day-to-day variability in hybrid, passive brain-computer interfaces: comparing two studies assessing cognitive workload.

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
As hybrid, passive brain-computer interface systems become more advanced, it is important to grow our understanding of how to produce generalizable pattern classifiers of physiological data. One of the most difficult problems in applying machine lear...
Cognition Workload Brain-Computer Interfaces Humans Algorithms
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Automatic detection of neovascularization on optic disk region with feature extraction and support vector machine.

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
Neovascularization (NV) is a definitive indicator for the onset of Proliferative Diabetic Retinopathy (PDR). The new vessels are fragile and prone to bleed, leading to high risk of sudden vision loss. Automatic detection of NV is an important task in...
Humans Diabetic Retinopathy Image Interpretation, Computer-Assisted Algorithms Optic Disk Image Processing, Computer-Assisted Support Vector Machine Neovascularization, Pathologic
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