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03/15/2023
Applying unsupervised keyphrase methods on concepts extracted from discharge sheets
Clinical notes containing valuable patient information are written by di...
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07/22/2022
Assessing mortality prediction through different representation models based on concepts extracted from clinical notes
Recent years have seen particular interest in using electronic medical r...
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05/14/2022
Integration of Text and Graph-based Features for Detecting Mental Health Disorders from Voice
With the availability of voice-enabled devices such as smart phones, men...
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08/16/2021
A complex network approach to time series analysis with application in diagnosis of neuromuscular disorders
Electromyography (EMG) refers to a biomedical signal indicating neuromus...
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08/16/2021
Hybrid deep learning methods for phenotype prediction from clinical notes
Identifying patient cohorts from clinical notes in secondary electronic ...
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04/29/2021
Heterogeneous electronic medical record representation for similarity computing
Due to the widespread use of tools and the development of text processin...
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08/27/2020
MultiGBS: A multi-layer graph approach to biomedical summarization
Automatic text summarization methods generate a shorter version of the i...
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08/06/2019
Text Summarization in the Biomedical Domain
This chapter gives an overview of recent advances in the field of biomed...
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11/22/2018
Scalable Label Propagation Algorithms for Heterogeneous Networks
Heterogeneous networks are large graphs consisting of different types of...
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04/21/2017
A hybrid spatial data mining approach based on fuzzy topological relations and MOSES evolutionary algorithm
Making high-quality decisions in strategic spatial planning is heavily d...
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05/10/2016
Different approaches for identifying important concepts in probabilistic biomedical text summarization
Automatic text summarization tools help users in biomedical domain to ac...
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05/20/2015
Fuzzy Least Squares Twin Support Vector Machines
Least Squares Twin Support Vector Machine (LSTSVM) is an extremely effic...
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05/18/2015
Spatial database implementation of fuzzy region connection calculus for analysing the relationship of diseases
Analyzing huge amounts of spatial data plays an important role in many e...
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09/09/2014
Ambiguity-Driven Fuzzy C-Means Clustering: How to Detect Uncertain Clustered Records
As a well-known clustering algorithm, Fuzzy C-Means (FCM) allows each in...
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01/28/2011
