AIMC Journal:
Medical & biological engineering & computing
Showing 241 to 250 of 330 articles
Medical expert system for low back pain management: design issues and conflict resolution with Bayesian network.
Medical & biological engineering & computing
Sep 7, 2020
The paper focuses on the development of a reliable medical expert system for diagnosis of low back pain (LBP) by proposing an efficient frame-based knowledge representation scheme and a suitable resolution logic with conflicts in outcomes being resol...
DZC DIAG: mobile application based on expert system to aid in the diagnosis of dengue, Zika, and chikungunya.
Medical & biological engineering & computing
Aug 26, 2020
Dengue, Zika, and chikungunya are epidemic diseases transmitted by the Aedes mosquito. These virus infections can be so severe to the point of bringing on mobility and neurological problems, or even death. Expert systems (ES) can be used as tools for...
A comparison of regularized logistic regression and random forest machine learning models for daytime diagnosis of obstructive sleep apnea.
Medical & biological engineering & computing
Aug 17, 2020
A major challenge in big and high-dimensional data analysis is related to the classification and prediction of the variables of interest by characterizing the relationships between the characteristic factors and predictors. This study aims to assess ...
BIOINTMED: integrated biomedical knowledge base with ontologies and clinical trials.
Medical & biological engineering & computing
Jul 24, 2020
Biomedical data are complex and heterogeneous. An ample reliable quantity of data is important for understanding and exploring the domain. The work aims to integrate biomedical data from various heterogeneous sources like dictionaries or corpus and a...
A machine learning approach for mortality prediction only using non-invasive parameters.
Medical & biological engineering & computing
Jul 20, 2020
At present, the traditional scoring methods generally utilize laboratory measurements to predict mortality. It results in difficulties of early mortality prediction in the rural areas lack of professional laboratorians and medical laboratory equipmen...
Neuro-fuzzy patch-wise R-CNN for multiple sclerosis segmentation.
Medical & biological engineering & computing
Jul 17, 2020
The segmentation of the lesion plays a core role in diagnosis and monitoring of multiple sclerosis (MS). Magnetic resonance imaging (MRI) is the most frequent image modality used to evaluate such lesions. Because of the massive amount of data, manual...
Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.
Medical & biological engineering & computing
Jul 16, 2020
Both labeled and unlabeled data have been widely used in electroencephalographic (EEG)-based brain-computer interface (BCI). However, labeled EEG samples are generally scarce and expensive to collect, while unlabeled samples are considered to be abun...
Fully multi-target segmentation for breast ultrasound image based on fully convolutional network.
Medical & biological engineering & computing
Jul 8, 2020
Ultrasound image segmentation plays an important role in computer-aided diagnosis of breast cancer. Existing approaches focused on extracting the tumor tissue to characterize the tumor class. However, other tissues are also helpful for providing the ...
Classification of heart sounds based on the combination of the modified frequency wavelet transform and convolutional neural network.
Medical & biological engineering & computing
Jul 7, 2020
We purpose a novel method that combines modified frequency slice wavelet transform (MFSWT) and convolutional neural network (CNN) for classifying normal and abnormal heart sounds. A hidden Markov model is used to find the position of each cardiac cyc...
Automated labeling of the airway tree in terms of lobes based on deep learning of bifurcation point detection.
Medical & biological engineering & computing
Jul 2, 2020
This paper presents an automatic lobe-based labeling of airway tree method, which can detect the bifurcation points for reconstructing and labeling the airway tree from a computed tomography image. A deep learning-based network structure is designed ...
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