Building a better machine learning model of extubation for neurocritical care patients
- PMID: 36334116
- DOI: 10.1007/s00134-022-06922-8
Building a better machine learning model of extubation for neurocritical care patients
Comment in
-
Building a better machine learning model of extubation for neurocritical care patients. Author's reply.Intensive Care Med. 2023 Jan;49(1):121-122. doi: 10.1007/s00134-022-06943-3. Epub 2022 Dec 7. Intensive Care Med. 2023. PMID: 36477923 No abstract available.
Comment on
-
Extubation in neurocritical care patients: the ENIO international prospective study.Intensive Care Med. 2022 Nov;48(11):1539-1550. doi: 10.1007/s00134-022-06825-8. Epub 2022 Aug 29. Intensive Care Med. 2022. PMID: 36038713
References
-
- Cinotti R, Mijangos JC, Pelosi P et al (2022) Extubation in neurocritical care patients: the ENIO international prospective study. Intensive Care Med. https://doi.org/10.1007/s00134-022-06825-8 - DOI
-
- Thakre M, JainK (2022) A review on prediction of peak time of corona virus using machine learning approach. Int J Res Publ Rev 3(7): 2441–2449. https://ijrpr.com/uploads/V3ISSUE7/IJRPR5998.pdf
-
- Cai J, Chu X, Xu K, Li H (2020) Machine learning-driven new material discovery. Nanoscale Adv 2(8):3115–3130. https://doi.org/10.1039/d0na00388c - DOI
-
- Akobeng AK (2007) Understanding diagnostic tests 3: receiver operating characteristic curves. Acta paediatrica (Oslo, Norway: 1992) 96(5):644–647. https://doi.org/10.1111/j.1651-2227.2006.00178.x - DOI
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical