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A Temporal Mining Framework for Classifying Un-Evenly Spaced Clinical Data: An Approach for Building Effective Clinical Decision-Making System

BACKGROUND: Clinical time-series data acquired from electronic health records (EHR) are liable to temporal complexities such as irregular observations, missing values and time constrained attributes that make the knowledge discovery process challenging. OBJECTIVE: This paper presents a temporal roug...

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Bibliografiska uppgifter
I publikationen:Appl Clin Inform
Huvudupphovsmän: Jane, Nancy Yesudhas, Nehemiah, Khanna Harichandran, Arputharaj, Kannan
Materialtyp: Artigo
Språk:Inglês
Publicerad: Schattauer 2016
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC4817331/
https://ncbi.nlm.nih.gov/pubmed/27081403
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4338/ACI-2015-08-RA-0102
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