A Graph Framework for Multimodal Medical Information Processing

Multimodal medical information processing is currently the epicenter of intense interdisciplinary research, as proper data fusion may lead to more accurate diagnoses. Moreover, multimodality may disambiguate cases of co-morbidity. This paper presents a framework for retrieving, analyzing, and storing medical information as a multilayer graph, an abstract format suitable for data fusion and further processing. At the same time, this paper addresses the need for reliable medical information through co-author graph ranking. A use case pertaining to frailty based on Python and Neo4j serves as an illustration of the proposed framework.

[1]  Torulf Mollestad,et al.  Additional Gene Ontology structure for improved biological reasoning , 2006, Bioinform..

[2]  Christos Makris,et al.  On converting community detection algorithms for fuzzy graphs in Neo4j , 2016, ArXiv.

[3]  Alan R. Aronson,et al.  Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program , 2001, AMIA.

[4]  Christos Makris,et al.  Eventually consistent cardinality estimation with applications in biodata mining , 2016, SAC.

[5]  Doina Caragea,et al.  Graph Databases , 2019, Encyclopedia of Big Data Technologies.

[6]  James S. Duncan,et al.  Synthesis of Research: Medical Image Databases: A Content-based Retrieval Approach , 1997, J. Am. Medical Informatics Assoc..

[7]  Vasileios Megalooikonomou,et al.  On the weight sparsity of multilayer perceptrons , 2015, 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA).

[8]  Gene Ontology Consortium.  The Gene Ontology (GO) database and informatics resource , 2003 .

[9]  M. Ashburner,et al.  Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.

[10]  Michalis Faloutsos,et al.  Gelling, and melting, large graphs by edge manipulation , 2012, CIKM.

[11]  J R Scherrer,et al.  Natural Language Processing and Semantical Representation of Medical Texts , 1992, Methods of Information in Medicine.

[12]  B Marshall,et al.  Gene Ontology Consortium: The Gene Ontology (GO) database and informatics resource , 2004, Nucleic Acids Res..

[13]  Gang Feng,et al.  Disease Ontology: a backbone for disease semantic integration , 2011, Nucleic Acids Res..

[14]  Robert Stevens,et al.  Using reasoning to guide annotation with gene ontology terms in GOAT , 2004, SGMD.

[15]  Desmond J. Higham,et al.  Network Properties Revealed through Matrix Functions , 2010, SIAM Rev..

[16]  Chang-Tsun Li,et al.  A Content-Based Approach to Medical Image Database Retrieval , 2009, Database Technologies: Concepts, Methodologies, Tools, and Applications.

[17]  Martin Luessi,et al.  MEG and EEG data analysis with MNE-Python , 2013, Front. Neuroinform..