Background Venous thromboembolism (VTE) is a chronic disorder with a significant health and economic burden. Several VTE-specific clinical prediction models (CPMs) have been used to assist physicians in decision-making but have several limitations. This systematic review explores if machine learning (ML) can enhance CPMs by analyzing extensive patient data derived from electronic health records. We aimed to explore ML-CPMs' applications in VTE for risk stratification, outcome prediction, diagnosis, and treatment. Methods Three databases were searched: PubMed, Google Scholar, and IEEE electronic library. Inclusion criteria focused on studies using structured data, excluding non-English publications, studies on non-humans, and certain data types such as natural language processing and image processing. Studies involving pregnant women, cancer patients, and children were also excluded. After excluding irrelevant studies, a total of 77 studies were included. Results Most studies report that ML-CPMs outperformed traditional CPMs in terms of receiver operating area under the curve in the four clinical domains that were explored. However, the majority of the studies were retrospective, monocentric, and lacked detailed model architecture description and external validation, which are essential for quality audit. This review identified research gaps and highlighted challenges related to standardized reporting, reproducibility, and model comparison. Conclusion ML-CPMs show promise in improving risk assessment and individualized treatment recommendations in VTE. Apparently, there is an urgent need for standardized reporting and methodology for ML models, external validation, prospective and real-world data studies, as well as interventional studies to evaluate the impact of artificial intelligence in VTE.
机构:
Tianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R ChinaTianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R China
Gao, Ying
Li, Shu
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Tianjin Univ Tradit Chinese Med, Sch Management, Tianjin, Peoples R ChinaTianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R China
Li, Shu
Jin, Yujing
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Tianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R ChinaTianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R China
Jin, Yujing
Zhou, Lengxiao
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Tianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R ChinaTianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R China
Zhou, Lengxiao
Sun, Shaomei
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Tianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R ChinaTianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R China
Sun, Shaomei
Xu, Xiaoqian
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Tianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R ChinaTianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R China
Xu, Xiaoqian
Li, Shuqian
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Tianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R ChinaTianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R China
Li, Shuqian
Yang, Hongxi
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机构:
Tianjin Med Univ, Sch Basic Med Sci, Dept Bioinformat, Tianjin, Peoples R ChinaTianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R China
Yang, Hongxi
Zhang, Qing
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Tianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R ChinaTianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R China
Zhang, Qing
Wang, Yaogang
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Tianjin Med Univ, Sch Publ Hlth, Tianjin, Peoples R China
Tianjin Med Univ, Sch Publ Hlth, Qixiangtai Rd 22, Tianjin 300070, Peoples R ChinaTianjin Med Univ Gen Hosp, Hlth Management Ctr, Tianjin, Peoples R China
Wang, Yaogang
[J].
JMIR PUBLIC HEALTH AND SURVEILLANCE,
2022,
8
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Majmaah Univ, Dept Publ Hlth, Coll Appl Med Sci, Al Majmaah 11952, Saudi ArabiaMajmaah Univ, Dept Publ Hlth, Coll Appl Med Sci, Al Majmaah 11952, Saudi Arabia
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All India Inst Med Sci, Dept Pediat, Room 818,8th floor,Mother & Child Block, New Delhi 110029, IndiaAll India Inst Med Sci, Dept Pediat, Room 818,8th floor,Mother & Child Block, New Delhi 110029, India
Kainth, Deepika
Prakash, Satya
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All India Inst Med Sci, Dept Pediat, Room 818,8th floor,Mother & Child Block, New Delhi 110029, IndiaAll India Inst Med Sci, Dept Pediat, Room 818,8th floor,Mother & Child Block, New Delhi 110029, India
Prakash, Satya
Sankar, M. Jeeva
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All India Inst Med Sci, Dept Pediat, Room 818,8th floor,Mother & Child Block, New Delhi 110029, IndiaAll India Inst Med Sci, Dept Pediat, Room 818,8th floor,Mother & Child Block, New Delhi 110029, India
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Birmingham City Univ, Coll Comp & Digital Technol, DAAI Res Grp, Birmingham B4 7XG, EnglandBirmingham City Univ, Coll Comp & Digital Technol, DAAI Res Grp, Birmingham B4 7XG, England
Ogunpola, Adedayo
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Saeed, Faisal
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Basurra, Shadi
Albarrak, Abdullah M.
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Imam Mohammad Ibn Saud Islamic Univ IMSIU, Coll Comp & Informat Sci, Comp Sci Dept, Riyadh 11432, Saudi ArabiaBirmingham City Univ, Coll Comp & Digital Technol, DAAI Res Grp, Birmingham B4 7XG, England
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Second Mil Med Univ, Changhai Hosp, Dept Gastroenterol, Shanghai, Peoples R ChinaYangzhou Univ, Affiliated Hosp, Dept Gastroenterol, 386 Hanjiang Middle Rd, Yangzhou 225000, Jiangsu, Peoples R China
Wang, Dan
Lu, Guo-tao
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Yangzhou Univ, Affiliated Hosp, Dept Gastroenterol, 386 Hanjiang Middle Rd, Yangzhou 225000, Jiangsu, Peoples R China
Yangzhou Univ, Sch Nursing, Sch Publ Hlth, Yangzhou, Jiangsu, Peoples R ChinaYangzhou Univ, Affiliated Hosp, Dept Gastroenterol, 386 Hanjiang Middle Rd, Yangzhou 225000, Jiangsu, Peoples R China
Lu, Guo-tao
Hu, Liang-hao
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Yangzhou Univ, Sch Nursing, Sch Publ Hlth, Yangzhou, Jiangsu, Peoples R China
Second Mil Med Univ, Changhai Hosp, Dept Gastroenterol, Shanghai, Peoples R ChinaYangzhou Univ, Affiliated Hosp, Dept Gastroenterol, 386 Hanjiang Middle Rd, Yangzhou 225000, Jiangsu, Peoples R China
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Chung Ang Univ, Grad Sch, Dept Nursing, 84 Heukseok Ro, Seoul 06974, South KoreaChung Ang Univ, Grad Sch, Dept Nursing, 84 Heukseok Ro, Seoul 06974, South Korea