By Amy Neustein,Johan Bellika,Angel Bravo-Salgado,Marius Brezovan,Dumitru Dan Burdescu,Jedsada Chartree,Joshua C. Denny,Liliana Ferreira,Kambiz Ghazinour,Leif Hanlen,S. Sagar Imambi,Tamara Jimenez,Randi Karlsen,Stan Matwin,Armin R. Mikler,Jose Enrique Borras

• Includes textual content Mining and typical Language Processing equipment for extracting details from digital overall healthiness files and biomedical literature.
• Analyzes textual content analytic instruments for brand spanking new media akin to on-line boards, social media posts, tweets and video sharing.
• Demonstrates how one can use speech and audio applied sciences for making improvements to entry to on-line content material for the visually impaired.

Text Mining of Web-Based clinical content material examines a variety of techniques to deriving top of the range info from on-line biomedical literature, digital healthiness documents, question seek phrases, social media posts and tweets. utilizing many of the most modern empirical tools of information extraction, the authors exhibit how on-line content material, generated via either pros and laypersons, could be mined for priceless information regarding illness methods, hostile drug reactions no longer captured in the course of scientific trials, and tropical fever outbreaks. also, the authors convey how you can practice infromation extraction on a medical institution intranet, the best way to construct a social media seek engine to glean information regarding sufferers' personal stories interacting with healthcare execs, and the way to enhance entry to on-line future health info.

This quantity presents a wealth of well timed fabric for wellbeing and fitness informatic execs and computing device studying, facts mining, and average language researchers.

Topics during this e-book include:
• Mining Biomedical Literature and medical Narratives
• Medication info Extraction
• Machine studying options for Mining scientific seek Queries
• Detecting the extent of private well-being details printed in Social Media
• Curating Layperson’s own stories with healthiness Care from Social Media and Twitter
• Health discussion structures for bettering entry to on-line content material
• Crowd-based Audio Clips to enhance on-line Video entry for the Visually Impaired
• Semantic-based visible info Retrieval for Mining Radiographic snapshot facts
• Evaluating the significance of clinical Terminology in YouTube Video Titles and outlines

 

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