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Expert Review of Vaccines Volume 22, 2023 - Issue 1
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Original Research

Diagnostic validation and development of an algorithm for identification of intussusception in children using electronic health records of Ningbo city in China

Siwei Denga Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China;b Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing, ChinaORCID Iconhttps://orcid.org/0000-0002-6293-7507View further author information
ORCID Icon,
Zhike Liua Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, ChinaView further author information
,
Junting Yanga Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, ChinaView further author information
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Liang Zhangc Department of Big data, Ningbo Center for Disease Control and Prevention, Ningbo, ChinaView further author information
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Tiejun Shoud Department of Neonatology, Ningbo Women and Children’s Hospital, Ningbo, ChinaView further author information
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Jianming Zhue Department of surgery, Ningbo Women and Children’s Hospital, Ningbo, ChinaView further author information
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Yan Hef Department of neurology, Ningbo Women and Children’s Hospital, Ningbo, ChinaView further author information
,
Rui Mag Department of Immunology, Ningbo Center for Disease Control and Prevention, Ningbo, ChinaView further author information
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Ning Lic Department of Big data, Ningbo Center for Disease Control and Prevention, Ningbo, ChinaView further author information
,
Guozhang Xuh Department of Epidemiology and Biostatistics, School of Public Health, Ningbo University, Ningbo, ChinaCorrespondence[email protected]
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Siyan Zhana Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China;b Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing, China;i Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, ChinaCorrespondence[email protected]
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Pages 307-314 | Received 21 Sep 2022, Accepted 07 Mar 2023, Published online: 20 Mar 2023

Figures & data

Figure 1. Flow chart for judging suspected cases of intussusception.

Abbreviation: RHIP, Regional health information platform
Figure 1. Flow chart for judging suspected cases of intussusception.

Table 1. Positive predictive value and sensitivity of algorithm for episodes with intussusception.

Figure 2. Diagnostic rule of intussusception based on experts.

Figure 2. Diagnostic rule of intussusception based on experts.

Table 2. Demographic characteristics by different identification algorithms.

Data availability statement

The data that support the findings of this study are from the Ningbo Center for Disease Control and Prevention, but are not publicly available due to privacy or ethical restrictions. Data are available on request from the corresponding author and with permission of Ningbo Center for Disease Control and Prevention.

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