AIMC Topic: Algorithms

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Deep Learning Approach for Epileptic Focus Localization.

IEEE transactions on biomedical circuits and systems Dec 2, 2019
The task of epileptic focus localization receives great attention due to its role in an effective epileptic surgery. The clinicians highly depend on the intracranial EEG data to make a surgical decision related to epileptic subjects suffering from un...
Humans Seizures Algorithms Signal Processing, Computer-Assisted Deep Learning Unsupervised Machine Learning Electroencephalography Epilepsy
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Prediction of anaerobic digestion performance and identification of critical operational parameters using machine learning algorithms.

Bioresource technology Dec 2, 2019
Machine learning has emerges as a novel method for model development and has potential to be used to predict and control the performance of anaerobic digesters. In this study, several machine learning algorithms were applied in regression and classif...
Logistic Models Cluster Analysis Anaerobiosis Machine Learning Algorithms
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Liver tumor segmentation based on 3D convolutional neural network with dual scale.

Journal of applied clinical medical physics Dec 2, 2019
PURPOSE: Liver is one of the organs with a high incidence of tumors in the human body. Malignant liver tumors seriously threaten human life and health. The difficulties of liver tumor segmentation from computed tomography (CT) image are: (a) The cont...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Humans Liver Neoplasms Imaging, Three-Dimensional Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Phantoms, Imaging
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Multi-view ensemble learning with empirical kernel for heart failure mortality prediction.

International journal for numerical methods in biomedical engineering Dec 2, 2019
Heart failure (HF) refers to the heart's inability to pump sufficient blood to maintain the body's needs, which has a very serious impact on human health. In recent years, the prevalence of HF has remained high. This paper proposes a multi-view ensem...
Humans Machine Learning Algorithms Area Under Curve Heart Failure Databases as Topic Female Male ROC Curve
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Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches.

BMC medical informatics and decision making Dec 2, 2019
BACKGROUND: Identifying dementia early in time, using real world data, is a public health challenge. As only two-thirds of people with dementia now ultimately receive a formal diagnosis in United Kingdom health systems and many receive it late in the...
Female Aged Male Risk Assessment Case-Control Studies Dementia State Medicine Support Vector Machine Humans Algorithms Bayes Theorem Neural Networks, Computer Primary Health Care Retrospective Studies United Kingdom Machine Learning Computational Biology Electronic Health Records Logistic Models
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Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks.

BMC bioinformatics Dec 2, 2019
BACKGROUND: In recent years, deep learning methods have been applied to many natural language processing tasks to achieve state-of-the-art performance. However, in the biomedical domain, they have not out-performed supervised word sense disambiguatio...
Vocabulary Humans Neural Networks, Computer Algorithms Support Vector Machine Natural Language Processing
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A hybrid self-attention deep learning framework for multivariate sleep stage classification.

BMC bioinformatics Dec 2, 2019
BACKGROUND: Sleep is a complex and dynamic biological process characterized by different sleep patterns. Comprehensive sleep monitoring and analysis using multivariate polysomnography (PSG) records has achieved significant efforts to prevent sleep-re...
Databases as Topic Multivariate Analysis Polysomnography Sleep Stages Deep Learning ROC Curve Electroencephalography Humans Algorithms
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Multimodal deep representation learning for protein interaction identification and protein family classification.

BMC bioinformatics Dec 2, 2019
BACKGROUND: Protein-protein interactions(PPIs) engage in dynamic pathological and biological procedures constantly in our life. Thus, it is crucial to comprehend the PPIs thoroughly such that we are able to illuminate the disease occurrence, achieve ...
Deep Learning ROC Curve Protein Binding Algorithms Reproducibility of Results Animals Amino Acid Sequence Saccharomyces cerevisiae Protein Interaction Mapping Proteins Databases, Protein Area Under Curve Humans Neural Networks, Computer
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DeepEP: a deep learning framework for identifying essential proteins.

BMC bioinformatics Dec 2, 2019
BACKGROUND: Essential proteins are crucial for cellular life and thus, identification of essential proteins is an important topic and a challenging problem for researchers. Recently lots of computational approaches have been proposed to handle this p...
Protein Interaction Maps Proteins Humans Neural Networks, Computer Machine Learning Algorithms Deep Learning ROC Curve
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A hybrid deep learning framework for bacterial named entity recognition with domain features.

BMC bioinformatics Dec 2, 2019
BACKGROUND: Microbes have been shown to play a crucial role in various ecosystems. Many human diseases have been proved to be associated with bacteria, so it is essential to extract the interaction between bacteria for medical research and applicatio...
Bacteria Models, Theoretical Databases as Topic Humans Neural Networks, Computer Algorithms Deep Learning
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