000 | 14003nam a22014295i 4500 | ||
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001 | 9781614513902 | ||
003 | DE-B1597 | ||
005 | 20240730161842.0 | ||
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008 | 230228t20142014gw fo d z eng d | ||
019 | _a(OCoLC)960201781 | ||
020 | _a9781614513902 | ||
024 | 7 |
_a10.1515/9781614513902 _2doi |
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035 | _a(DE-B1597)212017 | ||
035 | _a(OCoLC)922639748 | ||
040 |
_aDE-B1597 _beng _cDE-B1597 _erda |
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041 | 0 | _aeng | |
044 |
_agw _cDE |
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072 | 7 |
_aCOM079000 _2bisacsh |
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245 | 0 | 0 |
_aText Mining of Web-Based Medical Content / _ced. by Amy Neustein. |
264 | 1 |
_aBerlin ; _aBoston : _bDe Gruyter, _c[2014] |
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264 | 4 | _c©2014 | |
300 | _a1 online resource (263 p.) | ||
336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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_aSpeech Technology and Text Mining in Medicine and Health Care , _x2329-5198 ; _v1 |
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505 | 0 | 0 |
_tFrontmatter -- _tPreface -- _tContents -- _tList of authors -- _tPart I. Methods and techniques for mining biomedical literature and electronic health records -- _t1. Application of text mining to biomedical knowledge extraction: analyzing clinical narratives and medical literature -- _t2. Unlocking information in electronic health records using natural language processing: a case study in medication information extraction -- _t3. Online health information semantic search and exploration: reporting on two prototypes for performing information extraction on both a hospital intranet and the world wide web -- _tPart II. Machine Learning Techniques for Mining Medical Search Queries and Health-Related Social Media Posts and Tweets -- _t4. Predicting dengue incidence in Thailand from online search queries that include weather and climatic variables -- _t5. A study of personal health information posted online: using machine learning to validate the importance of the terms detected by MedDRA and SNOMED in revealing health information in social media -- _t6. Twitter for health - building a social media search engine to better understand and curate laypersons' personal experiences -- _tPart III. Using speech and audio technologies for improving access to online content for the computer-illiterate and the visually impaired -- _t7. An empirical study of user satisfaction with a health dialogue system designed for the Nigerian low-literate, computer-illiterate, and visually impaired -- _t8. DVX - the descriptive video exchange project: using crowd-based audio clips to improve online video access for the blind and the visually impaired -- _tPart IV. Visual data: new methods and approaches to mining radiographic image data and video metadata -- _t9. Information extraction from medical images: evaluating a novel automatic image annotation system using semantic-based visual information retrieval -- _t10. Helping patients in performing online video search: evaluating the importance of medical terminology extracted from MeSH and ICD-10 in health video title and description -- _tEditor's biography |
506 | 0 |
_arestricted access _uhttp://purl.org/coar/access_right/c_16ec _fonline access with authorization _2star |
|
520 | _a• 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:• Clinical Documents in Electronic Health Records• Summarization Techniques for Online Health Data• Natural Language Processing for Text Mining• Query Expansion Techniques for Tweets• Online Video Data Retrieval of Health-Related Videos• Dengue Fever Outbreaks• Bioemergencies and Social Media Posts• Speech-based Disease Screening for Malaria, Yellow Fever, Typhoid, and Lassa Fever• Audio Access to Online Video Data for the Visually Impaired | ||
520 | _a• 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 | ||
530 | _aIssued also in print. | ||
538 | _aMode of access: Internet via World Wide Web. | ||
546 | _aIn English. | ||
588 | 0 | _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023) | |
650 | 4 |
_adata mining. _93907 |
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650 | 4 |
_aelektrotechnik. _977492 |
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650 | 4 |
_amaschinelles lernen. _975264 |
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650 | 4 |
_asprachverarbeitung. _976088 |
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650 | 7 |
_aCOMPUTERS / Social Aspects / General. _2bisacsh _976345 |
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653 | _aElectronic Health Records. | ||
653 | _aHealth Mapping Tools. | ||
653 | _aHealth-Related Videos. | ||
653 | _aRelationship Extraction Techniques. | ||
653 | _aSpeech Processing. | ||
653 | _aSpeech-Enabled Web Content. | ||
653 | _aSummarization Techniques. | ||
700 | 1 |
_aAngel, Bravo-Salgado, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978138 |
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700 | 1 |
_aArmin, R. Mikler, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978139 |
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700 | 1 |
_aBellika, Johan, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978140 |
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700 | 1 |
_aBravo-Salgado, Angel, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978141 |
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700 | 1 |
_aBrezovan, Marius , _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978142 |
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700 | 1 |
_aBrezovan, Marius, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978143 |
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700 | 1 |
_aBurdescu, Dumitru Dan, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978144 |
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_aChartree, Jedsada, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978145 |
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700 | 1 |
_aCécile, Paris, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978146 |
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700 | 1 |
_aDenny, Joshua C., _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978147 |
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700 | 1 |
_aDumitru, Dan Burdescu, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978148 |
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700 | 1 |
_aEnrique, Jose, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978149 |
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700 | 1 |
_aFerreira, Liliana, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978150 |
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700 | 1 |
_aGhazinour, Kambiz, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978151 |
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700 | 1 |
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700 | 1 |
_aImambi, S. Sagar , _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978153 |
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700 | 1 |
_aImambi, S. Sagar, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978154 |
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700 | 1 |
_aJimenez, Tamara, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978155 |
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700 | 1 |
_aJohan, Gustav Bellika, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978156 |
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700 | 1 |
_aJoshua, C. Denny, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978157 |
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700 | 1 |
_aKarlsen, Randi, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978158 |
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700 | 1 |
_aKeith, M. Williams, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978159 |
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700 | 1 |
_aMatwin, Stan, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978160 |
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700 | 1 |
_aMikler, Armin R., _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978161 |
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700 | 1 |
_aMorell, Borrás, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978162 |
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700 | 1 |
_aMorell, Jose Enrique Borras, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978163 |
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700 | 1 |
_aMoses, Oyelami Olufemi, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978164 |
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700 | 1 |
_aNeustein, Amy, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978165 |
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700 | 1 |
_aNeustein, Amy, _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _978165 |
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700 | 1 |
_aOyelami, Olufemi, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978166 |
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700 | 1 |
_aParis, Cecile, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978167 |
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700 | 1 |
_aRodrigues, Mario, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978168 |
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700 | 1 |
_aRodrigues, Mário, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978169 |
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700 | 1 |
_aSalcedo, Vicente, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978170 |
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700 | 1 |
_aSokolova, Marina, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978171 |
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700 | 1 |
_aStanescu, Liana, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978172 |
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700 | 1 |
_aSuominen, Hanna, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978173 |
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700 | 1 |
_aTeixeira, António Joaquim S., _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978174 |
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700 | 1 |
_aTeixeira, António, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978175 |
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700 | 1 |
_aVicente, Traver Salcedo, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978176 |
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700 | 1 |
_aWilliams, Keith M., _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978177 |
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_aXu, Hua, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _978178 |
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