Detection and explanation of anomalies in healthcare data
CC BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s13755-023-00221-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7670 |
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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 |