Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records

https://hdl.handle.net/10536/DRO/DU:30083446
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posted on 2024-06-06, 01:30 authored by C Li, Santu RanaSantu Rana, D Phung, Svetha VenkateshSvetha Venkatesh

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records

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Related Materials

1.
DOI - Is version of https://doi.org/10.1016/j.knosys.2016.02.005

Location

Amsterdam, The Netherlands

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000374603400016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C Journal article, C1 Refereed article in a scholarly journal

Copyright notice

2016, Elsevier

Journal

Knowledge-Based Systems

Volume

99

Pagination

168-182

ISSN

0950-7051

eISSN

1872-7409

Publisher

ELSEVIER SCIENCE BV

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Keywords

Science & Technology Technology Computer Science, Artificial Intelligence Computer Science Bayesian nonparametric models Correspondence models Word distances Disease topics Readmission prediction Procedure codes prediction TEXT CATEGORIZATION MODELS READMISSION RISK 080109 Pattern Recognition and Data Mining 970108 Expanding Knowledge in the Information and Computing Sciences Centre for Pattern Recognition and Data Analytics Pattern Recognition and Data Analytics 4605 Data management and data science

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