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Context: Functional impairment is a necessary criterion for most DSM IV disorders, for determining need for services, for evaluating the effectiveness of treatment and for reimbursement of mental heal...
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a fullunderstanding of its function. Fluorescence microscopy, in combination with methods for fluore...
Fluorescence microscope images capture information from an entire field of view, which often comprises several cells scattered on the slide. We have previously trained classifiers to accurately pre...
The ongoing biotechnology revolution promises a complete understanding of the mechanisms by whichcells and tissues carry out their functions. Central to that goal is the determination of the function ...
The ongoing biotechnology revolution promises a complete understanding of the mechanisms by which cells and tissues carry out their functions. Central to that goal is the determination of the functi...
We describe a method of classifying cellular protein localization patterns based on their appearance in uorescence light microscope images. Images depicting cellular protein localization were obtai...
A recently developed machine learning algorithm referred to as Extreme Learning Machine (ELM) was used to classify machine control commands out of time series of spike trains of ensembles of CA1 hippo...
The experimental results of the entire MIT-BIH arrhythmia database demonstrate that the performances of the proposed algorithm are 98.00% in terms of average sensitivity, 97.95% in terms of average sp...
In this paper, we developed a task classification system for medical staff from the view-point of job scheduling and applied it to actual clinical nursing time-motion study data. Based on the intervie...
The corresponding accuracy using manually drawn contours was 88% (141/160). As a result of benign/malignant classification using this method, the classification rate was 84% (169/202) and the value wa...
The detection of unruptured aneurysms is a major task in magnetic resonance angiography (MRA). However, it is difficult for radiologists and/or neurosurgeons to detect small aneurysms on maximum inten...
Holter electrocardiogram has spread with medical institutions widely to be able to detect transient arrhythmia and ischemia. It is necessary to be analyzed automatically, because of a large quantity o...
Electronic Nose based ENT bacteria identification in hospital environment is a classical and challenging problem of classification. In this paper an electronic nose (e-nose), comprising a hybrid array...
For an axon of arbitrary shape, it is shown that a quadrupolar potential is generated by action potentials traveling along a straight axon. However, a dipole moment is generated at any point where an ...
AR modeling results showed that an order of four was sufficient for modeling the ECG signals. The accuracy of detecting NSR, APC, PVC, SVT, VT and VF were 93.2% to 100% using the GLM based classificat...

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