AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study
AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study
Tai-Han Lin
1
* , MD ;
Hsing-Yi Chung
1
* , MS ;
Ming-Jr Jian
1
, MS, PhD ;
Chih-Kai Chang
1
, MS ;
Hung-Hsin Lin
1
, MD ;
Chiung-Tzu Yen
1
, MS ;
Sheng-Hui Tang
1
, MS ;
Pin-Ching Pan
1
, MS ;
Cherng-Lih Perng
1
, MS ;
Feng-Yee Chang
2
, MD, PhD ;
Chien-Wen Chen
3
, MD ;
Hung-Sheng Shang
1
, MD, PhD
1
Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
2
Division of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
3
Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
*these authors contributed equally
Corresponding Author:
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Hung-Sheng Shang, MD, PhD
-
Division of Clinical Pathology, Department of Pathology
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Tri-Service General Hospital, National Defense Medical Center
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No. 161, Sec. 6, Minquan E. Rd., Neihu Dist.
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Taipei, 11490
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Taiwan
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Phone:
886 920713130
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Fax: 886 87927226
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Email: iamkeith001@gmail.com