BIOINTMED: integrated biomedical knowledge base with ontologies and clinical trials

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 amalgamate them into a uniform format for easier ac...

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Published inMedical & biological engineering & computing Vol. 58; no. 10; pp. 2339 - 2354
Main Authors Saha, Ankita, Mukhopadhyay, Jayanta, Sarkar, Sudeshna, Gattu, Mahanandeeshwar
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2020
Springer Nature B.V
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Abstract 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 amalgamate them into a uniform format for easier access by the end-user like biologist, pharmacist, and data scientist. The proposed integrated biomedical knowledge base, BIOINTMED, has 11,299, 12,981, 4428, 61,491, 48,663, and 13,146 unique entities for drugs, diseases, targets, genes, biomedical pathways, and adverse events, respectively. The uniform aggregated collection is also explored to study the interaction among these entity pairs. Finally, a complete statistical analysis of the consolidated biomedical entities is provided.
AbstractList 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 amalgamate them into a uniform format for easier access by the end-user like biologist, pharmacist, and data scientist. The proposed integrated biomedical knowledge base, BIOINTMED, has 11,299, 12,981, 4428, 61,491, 48,663, and 13,146 unique entities for drugs, diseases, targets, genes, biomedical pathways, and adverse events, respectively. The uniform aggregated collection is also explored to study the interaction among these entity pairs. Finally, a complete statistical analysis of the consolidated biomedical entities is provided.
Author Saha, Ankita
Sarkar, Sudeshna
Mukhopadhyay, Jayanta
Gattu, Mahanandeeshwar
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Keywords Clinical trials
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Biomedical integrated system
Data integration
Biomedical knowledge base
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Snippet Biomedical data are complex and heterogeneous. An ample reliable quantity of data is important for understanding and exploring the domain. The work aims to...
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SubjectTerms Biomedical and Life Sciences
Biomedical data
Biomedical Engineering and Bioengineering
Biomedicine
Clinical trials
Computer Applications
Human Physiology
Imaging
Knowledge bases (artificial intelligence)
Original Article
Radiology
Statistical analysis
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Title BIOINTMED: integrated biomedical knowledge base with ontologies and clinical trials
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