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

Clinical Information and Decision Making (1426) Decision Support for Health Professionals (1203) Electronic Health Records (1067) Machine Learning (1491)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19512, first published .
Detection of Bacteremia in Surgical In-Patients Using Recurrent Neural Network Based on Time Series Records: Development and Validation Study

Detection of Bacteremia in Surgical In-Patients Using Recurrent Neural Network Based on Time Series Records: Development and Validation Study

Detection of Bacteremia in Surgical In-Patients Using Recurrent Neural Network Based on Time Series Records: Development and Validation Study

Authors of this article:

Hyung Jun Park1 Author Orcid Image ;   Dae Yon Jung2 Author Orcid Image ;   Wonjun Ji1 Author Orcid Image ;   Chang-Min Choi1 Author Orcid Image
Article Authors Cited by (13) Tweetations (7) Metrics

Journals

  1. Park H, Song M, Lee E, Seo B, Choi C. An Attention Model With Transfer Embeddings to Classify Pneumonia-Related Bilingual Imaging Reports: Algorithm Development and Validation. JMIR Medical Informatics 2021;9(5):e24803 View
  2. Pai K, Wang M, Chen Y, Tseng C, Liu P, Chen L, Sheu R, Wu C. An Artificial Intelligence Approach to Bloodstream Infections Prediction. Journal of Clinical Medicine 2021;10(13):2901 View
  3. Bosma M, Jansen S, Gawel J, van Dullemen C, Priems M, Westerhof A, Meijer A, Ruven H. Prediction of the Values of CRP, eGFR, and Hemoglobin in the Follow-Up of Renal Cell Carcinoma Patients after (Cryo)Surgery Using Machine Learning Algorithms. The Journal of Applied Laboratory Medicine 2022;7(4):819 View
  4. Xie F, Yuan H, Ning Y, Ong M, Feng M, Hsu W, Chakraborty B, Liu N. Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. Journal of Biomedical Informatics 2022;126:103980 View
  5. Kim J, Ryu H, Kim S, Oh J, Kim T. Prediction of Recurrence in Pyogenic Vertebral Osteomyelitis by Artificial Neural Network Using Time-series Data of C-Reactive Protein. Spine 2021;46(18):1207 View
  6. Irgang L, Barth H, Holmén M. Data-Driven Technologies as Enablers for Value Creation in the Prevention of Surgical Site Infections: a Systematic Review. Journal of Healthcare Informatics Research 2023;7(1):1 View
  7. Lapp L, Roper M, Kavanagh K, Bouamrane M, Schraag S. Dynamic Prediction of Patient Outcomes in the Intensive Care Unit: A Scoping Review of the State-of-the-Art. Journal of Intensive Care Medicine 2023;38(7):575 View
  8. Bang Y, Choi Y, Park M, Shin S, Kim S. Clinical relevance of deep learning models in predicting the onset timing of cancer pain exacerbation. Scientific Reports 2023;13(1) View
  9. Pungitore S, Subbian V. Assessment of Prediction Tasks and Time Window Selection in Temporal Modeling of Electronic Health Record Data: a Systematic Review. Journal of Healthcare Informatics Research 2023;7(3):313 View
  10. Nasarudin N, Al Jasmi F, Sinnott R, Zaki N, Al Ashwal H, Mohamed E, Mohamad M. A review of deep learning models and online healthcare databases for electronic health records and their use for health prediction. Artificial Intelligence Review 2024;57(9) View
  11. Giacobbe D, Marelli C, Guastavino S, Signori A, Mora S, Rosso N, Campi C, Piana M, Murgia Y, Giacomini M, Bassetti M. Artificial intelligence and prescription of antibiotic therapy: present and future. Expert Review of Anti-infective Therapy 2024;22(10):819 View
  12. B. H, D.K. M, T.M. R, W. B, R. W, V. V, J. D, J. R, F.J. D, P. G, A.H. H. Advances in diagnosis and prognosis of bacteraemia, bloodstream infection, and sepsis using machine learning: A comprehensive living literature review. Artificial Intelligence in Medicine 2024:103008 View

Books/Policy Documents

  1. Wang L, Wang Z, Song Q, Ding C, Li X, Zhang X, Geng S. Advanced Intelligent Computing Technology and Applications. View