* Includes Text Mining and Natural Language Processing Methods for extracting information from electronic health records and biomedical literature. * Analyzes text analytic tools for new media such as online forums, social media posts, tweets and video sharing. * Demonstrates how to use speech and audio technologies for improving access to online content for the visually impaired. Text Mining of Web-Based Medical Content examines various approaches to deriving high quality information from online biomedical literature, electronic health records, query search terms, social media posts and tweets. Using some of the latest empirical methods of knowledge extraction, the authors show how online content, generated by both professionals and laypersons, can be mined for valuable information about disease processes, adverse drug reactions not captured during clinical trials, and tropical fever outbreaks. Additionally, the authors show how to perform infromation extraction on a hospital intranet, how to build a social media search engine to glean information about patients' own experiences interacting with healthcare professionals, and how to improve access to online health information. This volume provides a wealth of timely material for health informatic professionals and machine learning, data mining, and natural language researchers. Topics in this book include: * Mining Biomedical Literature and Clinical Narratives * Medication Information Extraction * Machine Learning Techniques for Mining Medical Search Queries * Detecting the Level of Personal Health Information Revealed in Social Media * Curating Layperson's Personal Experiences with Health Care from Social Media and Twitter * Health Dialogue Systems for Improving Access to Online Content * Crowd-based Audio Clips to Improve Online Video Access for the Visually Impaired * Semantic-based Visual Information Retrieval for Mining Radiographic Image Data * Evaluating the Importance of Medical Terminology in YouTube Video Titles and Descriptions

Intelligent Distributed Computing - IDC Symposium Series was started as an initiative of research groups from: (i) Systems Research Institute, Polish Academy of Sciences in Warsaw, Poland and(ii)SoftwareEngineeringDepartmentoftheUniversity ofCraiova, Craiova, Romania.IDCaimsatbringingtogetherresearchersandpractitionersinvolved in all aspects of intelligent and distributed computing to allow cross-fertilization and search for synergies of ideas and to enable advancement of research in these exciting sub- elds of computer science. Intelligent Distributed Computing 2008 - IDC 2008 wasthe secondeventin thisseries. IDC2008was hostedbyDipartimentodiIngegneria Informatica e delle Telecomunicazioni, Universita di Catania, Italia during September 18-19, 2008. This book represents the peer-reviewed proceedings of the IDC 2008. We received 58submissionsfrom24countries.Each submissionwas carefullyreviewedby at least 3 membersofthe ProgramCommittee.Acceptanceandpublicationwere judgedbased on the relevanceto the symposiumthemes, clarity of presentation, originalityand accuracy of results and proposed solutions. Finally 20 regular papers and 12 short papers were selected for presentationand were includedin this volume, resultingin acceptancerates of 34.48 % for regular papers and 55.17 % for regular and short papers. The book contains also 3 invited papers authored by well-known researchers in the eld. The 35 contributions in this book address many topics related to intelligent d- tributedcomputing, systemsandapplications, including: adaptivityandlearning;agents and multi-agent systems; argumentation; auctions; case-based reasoning; collaborative systems; data structures; distributed algorithms; formal modeling and veri cation; - netic and immune algorithms; grid computing; information extraction, annotation and integration; network and security protocols; mobile and ubiquitous computing; onto- gies and metadata; P2P computing; planning; recommender systems; rules; semantic Web; services and processes; trust and social computing;virtual organizations;wireless networks; XML technolog

Creating New Medical Ontologies for Image Annotation focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. All the steps of this process are described in detail with algorithms, experiments and results. The original algorithms proposed by authors are compared with other efficient similar algorithms. In addition, the authors treat the problem of creating ontologies in an automatic way, starting from Medical Subject Headings (MESH). They have presented some efficient and relevant annotation models and also the basics of the annotation model used by the proposed system: Cross Media Relevance Models. Based on a text query the system will retrieve the images that contain objects described by the keywords.

Intelligent Distributed Computing - IDC Symposium Series was started as an initiative of research groups from: (i) Systems Research Institute, Polish Academy of Sciences in Warsaw, Poland and(ii)SoftwareEngineeringDepartmentoftheUniversity ofCraiova, Craiova, Romania.IDCaimsatbringingtogetherresearchersandpractitionersinvolved in all aspects of intelligent and distributed computing to allow cross-fertilization and search for synergies of ideas and to enable advancement of research in these exciting sub- elds of computer science. Intelligent Distributed Computing 2008 - IDC 2008 wasthe secondeventin thisseries. IDC2008was hostedbyDipartimentodiIngegneria Informatica e delle Telecomunicazioni, Universita di Catania, Italia during September 18-19, 2008. This book represents the peer-reviewed proceedings of the IDC 2008. We received 58submissionsfrom24countries.Each submissionwas carefullyreviewedby at least 3 membersofthe ProgramCommittee.Acceptanceandpublicationwere judgedbased on the relevanceto the symposiumthemes, clarity of presentation, originalityand accuracy of results and proposed solutions. Finally 20 regular papers and 12 short papers were selected for presentationand were includedin this volume, resultingin acceptancerates of 34.48 % for regular papers and 55.17 % for regular and short papers. The book contains also 3 invited papers authored by well-known researchers in the eld. The 35 contributions in this book address many topics related to intelligent d- tributedcomputing, systemsandapplications, including: adaptivityandlearning;agents and multi-agent systems; argumentation; auctions; case-based reasoning; collaborative systems; data structures; distributed algorithms; formal modeling and veri cation; - netic and immune algorithms; grid computing; information extraction, annotation and integration; network and security protocols; mobile and ubiquitous computing; onto- gies and metadata; P2P computing; planning; recommender systems; rules; semantic Web; services and processes; trust and social computing;virtual organizations;wireless networks; XML technolog