This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2730) Data Science (297) Machine Learning (1662) Nosocomial Infections (26) Perioperative Infection Control and Prevention (8) Natural Language Processing (775) Antimicrobial Stewardship and Antibiotic Resistance (50)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54044, first published .
Predictive Model for Extended-Spectrum β-Lactamase–Producing Bacterial Infections Using Natural Language Processing Technique and Open Data in Intensive Care Unit Environment: Retrospective Observational Study

Predictive Model for Extended-Spectrum β-Lactamase–Producing Bacterial Infections Using Natural Language Processing Technique and Open Data in Intensive Care Unit Environment: Retrospective Observational Study

Predictive Model for Extended-Spectrum β-Lactamase–Producing Bacterial Infections Using Natural Language Processing Technique and Open Data in Intensive Care Unit Environment: Retrospective Observational Study

Authors of this article:

Genta Ito1 Author Orcid Image ;   Shuntaro Yada1 Author Orcid Image ;   Shoko Wakamiya1 Author Orcid Image ;   Eiji Aramaki1 Author Orcid Image
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あらまき あらまき @ARAMAKI

MIMICからの情報抽出の論文が出版されました https://t.co/LJ8GdWmS5k JMIR Formative Research(IF=2) オープンデータであるMIMICのみを使って　特定の医療施設のデータを使わない研究 評価が難しいところですが　無事に採択されました 今年は英語原著論文がもう７本目　例年より早いペースです

2:50 AM · Jul 17, 2024

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