Information Retrieval and Data Analytics for Electronic Medical Records -- Vector Space Model for Encoding and Retrieving Longitudinal Medical Records Data -- The Study of the Compatibility Rules of Traditional Chinese Medicine Based on Apriori and HMETIS Hypergraph Partitioning Algorithm -- Comparing Small Graph Retrieval Performance for Ontology Concepts in Medical Texts -- Data Management and Visualization of Medical Data -- Maps of Human Disease: A Web-Based Framework for the Visualization of Human Disease Comorbidity and Clinical Profile -- Secure Similarity Queries: Enabling Precision Medicine with Privacy -- Time-, Energy-, and Monetary Cost-Aware Cache Design for a Mobile-Cloud Database System -- Biomedical Data Sharing and Integration -- Challenges of Reasoning with Multiple Knowledge Sources in the Context of Drug Induced Liver Injury -- BiobankCloud: a Platform for the Secure Storage, Sharing, and Processing of Large Biomedical Data Sets -- Medical Imaging Analytics -- Three-Dimensional Data Analytics for Pathology Imaging -- Automated Analysis of Muscle X-ray Diffraction Imaging with MCMC -- SparkGIS: Efficient Comparison and Evaluation of Algorithm Results in Tissue Image Analysis Studies -- Big-Graphs Online Querying -- Social Network Analytics: Beyond the Obvious -- S2X: Graph-Parallel Querying of RDF with GraphX -- The Time Has Come: Traversal and Reachability in Time-Varying Graphs -- Robust Cardinality Estimation for Subgraph Isomorphism Queries on Property Graphs.

This book constitutes the refereed proceedings of the two International Workshops on Big-Graphs Online Querying, Big-O(Q) 2015, and Data Management and Analytics for Medicine and Healthcare, DMAH 2015, held at Waikoloa, Hawaii, USA on August 31 and September 4, 2015, in conjunction with the 41st International Conference on Very Large Data Bases, VLDB 2015. The 9 revised full papers presented together with 5 invited papers and 1 extended abstract were carefully reviewed and selected from 22 initial submissions. The papers are organized in topical sections on information retrieval and data analytics for electronic medical records; data management and visualization of medical data; biomedical data sharing and integration; medical imaging analytics; and big-graphs online querying.