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Titlebook: Data Management and Analytics for Medicine and Healthcare; Second International Fusheng Wang,Lixia Yao,Gang Luo Conference proceedings 2017

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發(fā)表于 2025-3-21 19:29:16 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data Management and Analytics for Medicine and Healthcare
副標(biāo)題Second International
編輯Fusheng Wang,Lixia Yao,Gang Luo
視頻videohttp://file.papertrans.cn/263/262858/262858.mp4
概述Includes supplementary material: .Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Data Management and Analytics for Medicine and Healthcare; Second International Fusheng Wang,Lixia Yao,Gang Luo Conference proceedings 2017
描述.This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2016, in New Delhi, India, in September 2016, held in conjunction with the 42nd International Conference on Very Large Data Bases, VLDB 2016. . The 7 revised full papers presented together with 2 invited papers and 3 keynote abstracts were carefully reviewed and selected from 11 initial submissions. The papers are organized in topical sections on knowledge discovery of biomedical data; managing, querying and processing of medical image data; information extraction and data integration for biomedical data; and health information systems..
出版日期Conference proceedings 2017
關(guān)鍵詞biomedical technologies; electronic health records; semantics; data management; image analysis; semantic
版次1
doihttps://doi.org/10.1007/978-3-319-57741-8
isbn_softcover978-3-319-57740-1
isbn_ebook978-3-319-57741-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Exploiting HPO to Predict a Ranked List of Phenotype Categories for LiverTox Case Reports category that was assigned to the report was among the Top 3 predicted phenotype category descriptions. Future directions would be to incorporate other annotations, laboratory findings, and the exploration of other semantic-based methods for case report retrieval and ranking.
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Drug Dosage Balancing Using Large Scale Multi-omics Datasetsin the biological questions involving (1) Associated drugs and their omics signature, (2)?Identification of gene association with integrated Drug-Target databases (3) Mutations, variants, and alterations from these targets (4) Their PPI Interactions and associated oncogenic pathways (5) Associated b
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Building an i2b2-Based Integrated Data Repository for Cancer Research: A Case Study of Ovarian Canceng cohort query and identification, clinical data-based hypothesis-testing, and exploratory data-mining. We also identified and discussed outstanding issues we will address through additional enhancement of existing i2b2 system.
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An ILP-Based Approach to Code Generationnted as prototype. The patient cases are classified according to cervical spine defect classes, while the classification relies upon rules obtained from the corresponding defect classification schema and guidelines. In a retrospective study, the classifier is applied to clinical documents and the cl
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Beyond Tool-Specific Machine Descriptionsei growth directions to build search indexes. The user employs visual interactions such as sketching to input queries for interesting patterns. Meanwhile, the user is allowed to iteratively create queries, which are based on previous search results, to finely tune the features more accurately to fin
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