Last Posted: Aug 04, 2020
- Machine learning for early detection of sepsis: an internal and temporal validation study.
Bedoya Armando D et al. JAMIA open 2020 Jul 3(2) 252-260
- Successful implementation of genomically based treatment of chemotherapy refractory peripheral T-cell lymphoma (PTCL).
Galanina Natalie et al. Cancer biology & therapy 2019 20(3) 247-251
- Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study.
Sendak Mark P et al. JMIR medical informatics 2020 Jul 8(7) e15182
- Genetic testing in the acute setting: a round table discussion.
McDermott John Henry et al. Journal of medical ethics 2020 Jul
- Implementation of an Automated Sepsis Screening Tool in a Community Hospital Setting.
Cooper Penny B et al. Journal of nursing care quality 2020 Jul
- [Expert consensus for the application of metagenomic next generation sequencing in the pathogen diagnosis in clinical moderate and severe infections (first edition)].
Consensus Group Of Experts On Application Of Metagenomic Next Generation Sequencing In The Pathogen Diagnosis In Clinical Moderate And Severe Infections et al. Zhonghua wei zhong bing ji jiu yi xue 2020 32(5) 531-536
- Cardiometabolic traits, sepsis and severe covid-19 with respiratory failure: a Mendelian randomization investigation
Ponsford JM, et al. medRxiv, Jun 20, 2020.
- Emergency management in epidermolysis bullosa: consensus clinical recommendations from the European reference network for rare skin diseases.
Mellerio Jemima E et al. Orphanet journal of rare diseases 2020 Jun 15(1) 142
- Early detection of sepsis utilizing deep learning on electronic health record event sequences.
Lauritsen Simon Meyer et al. Artificial intelligence in medicine 2020 Apr 104101820
- Enhancing sepsis management through machine learning techniques: A review.
Ocampo-Quintero N et al. Medicina intensiva 2020 May
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