Predicate Oriented Pattern Analysis for Biomedical Knowledge Discovery

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ISSN Print: 2160-5912
ISSN Online: 2160-5920
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"Predicate Oriented Pattern Analysis for Biomedical Knowledge Discovery"
written by Feichen Shen, Hongfang Liu, Sunghwan Sohn, David W. Larson, Yugyung Lee,
published by Intelligent Information Management, Vol.8 No.3, 2016

has been cited by the following article(s):

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[5]	Efficient Intelligent Generic Recommendation Knowledge Graph in Education Domain using Association Rule Mining and Machine Learning
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[7]	Rare disease knowledge enrichment through a data-driven approach
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[9]	Leveraging Association Rule Mining to Detect Pathophysiological Mechanisms of Chronic Kidney Disease Complicated by Metabolic Syndrome
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[10]	Incorporating Knowledge-Driven Insights into a Collaborative Filtering Model to Facilitate the Differential Diagnosis of Rare Diseases
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[11]	A comparison of word embeddings for the biomedical natural language processing
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[15]	Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes
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[18]	Knowledge Data Map-A Framework for the Field of Data Mining and Knowledge Discovery
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[1]	Developing Sentiment Analysis of Indonesian Social Media Based on Convolutional Neural Network for Smarter Society 2022 International Conference on ICT for Smart Society (ICISS), 2022 DOI:10.1109/ICISS55894.2022.9915148

[2]	A computational system based on ontologies to automate the mapping process of medical reports into structured databases Expert Systems with Applications, 2019 DOI:10.1016/j.eswa.2018.08.004

[3]	Detecting Lifestyle Risk Factors for Chronic Kidney Disease With Comorbidities: Association Rule Mining Analysis of Web-Based Survey Data Journal of Medical Internet Research, 2019 DOI:10.2196/14204

[4]	Leveraging Association Rule Mining to Detect Pathophysiological Mechanisms of Chronic Kidney Disease Complicated by Metabolic Syndrome 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018 DOI:10.1109/BIBM.2018.8621226

[5]	Constructing Node Embeddings for Human Phenotype Ontology to Assist Phenotypic Similarity Measurement 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI-W), 2018 DOI:10.1109/ICHI-W.2018.00011

[6]	Identification of Genetic Causality Statements in Medline Abstracts Leveraging Distant Supervision 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI-W), 2018 DOI:10.1109/ICHI-W.2018.00008

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