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Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam.

Damien Keng Yen MingBernard HernandezSorawat SangkaewNguyen Lam VuongPhung Khanh LamNguyen Minh NguyetDong Thi Hoai TamDinh The TrungNguyen Thi Hanh TienNguyen Minh TuanNguyen Van Vinh ChauCao Thi TamHo Quang ChanhHuynh Trung TrieuCameron P SimmonsBridget A WillsPantelis GeorgiouAlison Helen HolmesSophie Yacoubnull null
Published in: PLOS digital health (2022)
The study demonstrates additional insights can be obtained from basic healthcare data, when applied through a machine learning framework. The high negative predictive value could support interventions such as early discharge or ambulatory patient management in this population. Work is underway to incorporate these findings into an electronic clinical decision support system to guide individual patient management.
Keyphrases
  • clinical decision support
  • electronic health record
  • machine learning
  • healthcare
  • case report
  • big data
  • artificial intelligence
  • zika virus
  • deep learning
  • dengue virus
  • aedes aegypti
  • health information
  • social media