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Detection and explanation of anomalies in healthcare data

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Bibliographic Details
Main Authors: Durgesh, Samariya, Jiangang, Ma, Sunil, Aryal
Format: Book
Language:English
Published: Springer 2023
Subjects:
growth of databases
healthcare domain opens multiple doors
Online Access:https://link.springer.com/article/10.1007/s13755-023-00221-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7670
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spelling oai:localhost:PNK-76702023-04-07T07:28:24Z Detection and explanation of anomalies in healthcare data Durgesh, Samariya Jiangang, Ma Sunil, Aryal growth of databases healthcare domain opens multiple doors CC BY The growth of databases in the healthcare domain opens multiple doors for machine learning and artificial intelligence technology. Many medical devices are available in the medical field; however, medical errors remain a severe challenge. Different algorithms are developed to identify and solve medical errors, such as detecting anomalous readings, anomalous health conditions of a patient, etc. However, they fail to answer why those entries are considered an anomaly. This research gap leads to an outlying aspect mining problem. 2023-04-07T07:28:24Z 2023-04-07T07:28:24Z 2023 Book https://link.springer.com/article/10.1007/s13755-023-00221-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7670 en application/pdf application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic growth of databases
healthcare domain opens multiple doors
spellingShingle growth of databases
healthcare domain opens multiple doors
Durgesh, Samariya
Jiangang, Ma
Sunil, Aryal
Detection and explanation of anomalies in healthcare data
description CC BY
format Book
author Durgesh, Samariya
Jiangang, Ma
Sunil, Aryal
author_facet Durgesh, Samariya
Jiangang, Ma
Sunil, Aryal
author_sort Durgesh, Samariya
title Detection and explanation of anomalies in healthcare data
title_short Detection and explanation of anomalies in healthcare data
title_full Detection and explanation of anomalies in healthcare data
title_fullStr Detection and explanation of anomalies in healthcare data
title_full_unstemmed Detection and explanation of anomalies in healthcare data
title_sort detection and explanation of anomalies in healthcare data
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s13755-023-00221-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7670
_version_ 1762546699142692864
score 8.891145

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