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Updated: Sep 10, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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ヨルダンのカラック市で,ロジスティック・リグレッション・モデルを用いたCOVID-19 感染症の予測

Anas Khaleel1, Wael Abu Dayyih2, Lina AlTamimi3

  • 1Department of Pharmacology and Biomedical Sciences, Faculty of Pharmacy, Petra University, Amman, Jordan.

F1000Research
|August 27, 2025
PubMed
まとめ

カラック市では,女性の性別と45歳以上の年齢がCOVID-19感染リスクの重要な予測要因でした. この発見は,COVID-19の伝播ダイナミクスを理解し,公衆衛生戦略を伝えるのに役立ちます.

キーワード:
年齢コロナウイルスグーグルシートロジスティック回帰モデルセックス喫煙

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