Proactive forecasting of emergency department crowding through explainable machine learning and temporal feature dynamics.

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Title: Proactive forecasting of emergency department crowding through explainable machine learning and temporal feature dynamics.
Authors: Lee, Sujeong1 (AUTHOR), Kim, Taerim1,2 (AUTHOR) taerimi.kim@samsung.com, Chang, Hansol1,2 (AUTHOR) briquet90@naver.com, Choi, Seong Young3 (AUTHOR)
Source: Hong Kong Journal of Emergency Medicine. Apr2026, Vol. 33 Issue 2, p1-10. 10p.
Database: Academic Search Ultimate
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An: 193280841
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  Data: Proactive forecasting of emergency department crowding through explainable machine learning and temporal feature dynamics.
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  Data: <searchLink fieldCode="JN" term="%22Hong+Kong+Journal+of+Emergency+Medicine%22">Hong Kong Journal of Emergency Medicine</searchLink>. Apr2026, Vol. 33 Issue 2, p1-10. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193280841
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1002/hkj2.70093
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      – Code: eng
        Text: English
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        PageCount: 10
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      – TitleFull: Proactive forecasting of emergency department crowding through explainable machine learning and temporal feature dynamics.
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            NameFull: Lee, Sujeong
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            NameFull: Kim, Taerim
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            NameFull: Chang, Hansol
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              Text: Apr2026
              Type: published
              Y: 2026
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              Value: 33
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            – TitleFull: Hong Kong Journal of Emergency Medicine
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