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Machine Learning Models of Post-Intubation Hypoxia During General Anesthesia.
Sippl, Philipp; Ganslandt, Thomas; Prokosch, Hans-Ulrich; Muenster, Tino; Toddenroth, Dennis.
Affiliation
  • Sippl P; Medical Informatics, Univ. of Erlangen-Nürnberg, Erlangen.
  • Ganslandt T; Medical Center for Information and Communication Technology, University Hospital Erlangen.
  • Prokosch HU; Medical Informatics, Univ. of Erlangen-Nürnberg, Erlangen.
  • Muenster T; Dept of Anaesthesiology & Intensive Care, University Hospital Erlangen.
  • Toddenroth D; Medical Informatics, Univ. of Erlangen-Nürnberg, Erlangen.
Stud Health Technol Inform ; 243: 212-216, 2017.
Article in En | MEDLINE | ID: mdl-28883203
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Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Machine Learning / Intubation / Hypoxia Type of study: Observational_studies / Prognostic_studies Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2017 Document type: Article Country of publication: Netherlands
Search on Google
Add to My VHL
Print
XML
PubMed Links

Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Machine Learning / Intubation / Hypoxia Type of study: Observational_studies / Prognostic_studies Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2017 Document type: Article Country of publication: Netherlands