AIMC Topic: Sensitivity and Specificity
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Differentiation of Glioblastoma and Lymphoma Using Feature Extraction and Support Vector Machine.
CNS & neurological disorders drug targets
Jan 1, 2017
Differentiation of glioblastoma multiformes (GBMs) and lymphomas using multi-sequence magnetic resonance imaging (MRI) is an important task that is valuable for treatment planning. However, this task is a challenge because GBMs and lymphomas may have...
[Development, identification and application of 33 monoclonal antibodies against cardiac troponin T].
Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Dec 25, 2016
The aim of this study is to prepare and characterize cardiac troponin T (cTnT) monoclonal antibodies (mAb), and further develop a chemiluminescence quantitative detection assay for cTnT. BALB/c mice were immunized with recombinant cTnT antigen, and s...
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
JAMA
Dec 13, 2016
IMPORTANCE: Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior, removing the need to specify rules explicitly. Application of the...
Dilemma: Correlation Between Serum Level of Hepcidin and IL-6 in Anemic Myeloma Patients.
Medical archives (Sarajevo, Bosnia and Herzegovina)
Dec 1, 2016
INTRODUCTION: Anemia occurs in 60% to 80 % of patients with newly diagnosed myeloma multiplex (MM). The cause of anemia in MM is probably multi factorial and involved among the others hepcidin and some cytokines, especially interleukine-6. Anemia in ...
A Multi-Technique Reconfigurable Electrochemical Biosensor: Enabling Personal Health Monitoring in Mobile Devices.
IEEE transactions on biomedical circuits and systems
Oct 1, 2016
This paper describes the design and characterization of a reconfigurable, multi-technique electrochemical biosensor designed for direct integration into smartphone and wearable technologies to enable remote and accurate personal health monitoring. By...
Equipment Failure Analysis
Amplifiers, Electronic
Conductometry
Systems Integration
Equipment Design
Signal Processing, Computer-Assisted
Telemedicine
Monitoring, Ambulatory
Reproducibility of Results
Self Care
Sensitivity and Specificity
Diagnosis, Computer-Assisted
Smartphone
Biosensing Techniques
Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease.
Brain imaging and behavior
Sep 1, 2016
The study of brain networks by resting-state functional magnetic resonance imaging (rs-fMRI) is a promising method for identifying patients with dementia from healthy controls (HC). Using graph theory, different aspects of the brain network can be ef...
Can we make a carpet smart enough to detect falls?
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 this paper, we have enhanced smart carpet, which is a floor based personnel detector system, to detect falls using a faster but low cost processor. Our hardware front end reads 128 sensors, with sensors output a voltage due to a person walking or ...
Detection of mental stress due to oral academic examination via ultra-short-term HRV 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
Mental stress may cause cognitive dysfunctions, cardiovascular disorders and depression. Mental stress detection via short-term Heart Rate Variability (HRV) analysis has been widely explored in the last years, while ultra-short term (less than 5 minu...
Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: a machine learning approach.
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
Automatic fall detection will promote independent living and reduce the consequences of falls in the elderly by ensuring people can confidently live safely at home for linger. In laboratory studies inertial sensor technology has been shown capable of...
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 ...
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