Cargando…

Predicting anesthetic infusion events using machine learning

Recently, research has been conducted to automatically control anesthesia using machine learning, with the aim of alleviating the shortage of anesthesiologists. In this study, we address the problem of predicting decisions made by anesthesiologists during surgery using machine learning; specifically...

Descripción completa

Detalles Bibliográficos
Autores principales:	Miyaguchi, Naoki, Takeuchi, Koh, Kashima, Hisashi, Morita, Mizuki, Morimatsu, Hiroshi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655034/ https://www.ncbi.nlm.nih.gov/pubmed/34880365 http://dx.doi.org/10.1038/s41598-021-03112-2

Ejemplares similares

Machine learning to estimate the local quality of protein crystal structures
por: Miyaguchi, Ikuko, et al.
Publicado: (2021)

Analgesic and cardiopulmonary effects of premedication with tramadol in calves anesthetized with the infusion of guaifenesin and thiamylal
por: KIM, Ahram, et al.
Publicado: (2021)

Anesthetic management of a patient with sodium-channel myotonia: a case report
por: Matsumoto, Naohisa, et al.
Publicado: (2019)

Sugammadex and amino acid infusion can contribute to safe anesthetic management of variegate porphyria
por: Aoki, Yoshitaka, et al.
Publicado: (2018)

Evaluation of Clinical Factors Associated with Adverse Drug Events in Patients Receiving Sub-Anesthetic Ketamine Infusions
por: Stoker, Alexander D, et al.
Publicado: (2019)

Using machine learning to predict extreme events in complex systems
por: Qi, Di, et al.
Publicado: (2020)

Radio contrast imaging for continuous epidural infusion in humans: a report of three cases
por: Matsusaki, Takashi, et al.
Publicado: (2019)

Elastomeric pump malfunction resulting in over-infusion of local anesthetic
por: Koogler, Andrew, et al.
Publicado: (2019)

Prediction of incident cardiovascular events using machine learning and CMR radiomics
por: Pujadas, Esmeralda Ruiz, et al.
Publicado: (2022)

Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection
por: Liu, Nan, et al.
Publicado: (2014)

Use of continuous subcutaneous anesthetic infusion in cardiac surgical patients after median sternotomy
por: Koukis, Ioannis, et al.
Publicado: (2008)

Can Continuous Local Anesthetic Infusion After Median Sternotomy Reduce Opioid Use?
por: Pala, Arda Aybars, et al.
Publicado: (2020)

Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth
por: Schmidt, Dominik, et al.
Publicado: (2022)

Cardiovascular Effects of Dobutamine and Phenylephrine Infusion in Sevoflurane-anesthetized Thoroughbred Horses
por: OHTA, Minoru, et al.
Publicado: (2013)

Comparison of the neuromuscular effects of two infusion rates of rocuronium in anesthetized pigs
por: Pedersen, Kamilla, et al.
Publicado: (2022)

Comparison of Hemodynamic Effects of Dobutamine and Ephedrine Infusions in Isoflurane-Anesthetized Horses
por: Garcia Filho, Sergio Grandisoli, et al.
Publicado: (2023)

Anesthetic management of a patient with Osler-Weber-Rendu syndrome with multiple pulmonary arteriovenous malformations and pheochromocytoma for femoral artificial bone replacement: a case report
por: Hiyoshi, Toshiharu, et al.
Publicado: (2023)

Supervised machine learning in wind forecasting and ramp event prediction
por: Dhiman, Harsh S, et al.
Publicado: (2020)

Obesity and anesthetic pharmacology: simulation of target-controlled infusion models of propofol and remifentanil
por: Kim, Tae Kyun
Publicado: (2021)

Short-term glucosamine infusion increases islet blood flow in anesthetized rats
por: Gao, Xiang, et al.
Publicado: (2013)

Unexpected Event Prediction in Wire Electrical Discharge Machining Using Deep Learning Techniques
por: Sanchez, Jose A., et al.
Publicado: (2018)

Prediction of Adverse Events in Stable Non-Variceal Gastrointestinal Bleeding Using Machine Learning
por: Seo, Dong-Woo, et al.
Publicado: (2020)

Using machine learning to predict subsequent events after EMS non-conveyance decisions
por: Paulin, Jani, et al.
Publicado: (2022)

Prediction of Carbohydrate-Binding Proteins from Sequences Using Support Vector Machines
por: Someya, Seizi, et al.
Publicado: (2010)

Driving event recognition using machine learning and smartphones
por: bin Jamal Mohd Lokman, Eilham Hakimie, et al.
Publicado: (2022)

Chemical property prediction under experimental biases
por: Liu, Yang, et al.
Publicado: (2022)

Machine learning-based prediction models for accidental hypothermia patients
por: Okada, Yohei, et al.
Publicado: (2021)

Ketamine–Propofol Coadministration for Induction and Infusion Maintenance in Anesthetized Dogs: Effects on Electroencephalography and Antinociception
por: Ko, Jeff C., et al.
Publicado: (2023)

Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study
por: Yang, Xulin, et al.
Publicado: (2023)

Ability of the integrated pulmonary index to predict impending respiratory events in the early postoperative period
por: Probst, Stephen, et al.
Publicado: (2023)

Infusion-related events during natalizumab: No need for post-infusion monitoring
por: Loonstra, Floor C, et al.
Publicado: (2019)

Continuous local anesthetic wound infusion: Impact on pain score and opioid use in patients undergoing elective mastectomy
por: AlFaraj, Ahmed, et al.
Publicado: (2022)

The Incidence and Prognostic Value of Hypochloremia in Critically Ill Patients
por: Tani, Makiko, et al.
Publicado: (2012)

Infusing theory into deep learning for interpretable reactivity prediction
por: Wang, Shih-Han, et al.
Publicado: (2021)

Knowledge-infused Learning for Entity Prediction in Driving Scenes
por: Wickramarachchi, Ruwan, et al.
Publicado: (2021)

Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review
por: Rellum, Santino R., et al.
Publicado: (2021)

Efficiency Improvements Using Machine Learning in Event Generators for the LHC
por: Krause, Johannes
Publicado: (2022)

Imbalanced Seismic Event Discrimination Using Supervised Machine Learning
por: Ahn, Hyeongki, et al.
Publicado: (2022)

Machine learning models for prediction of adverse events after percutaneous coronary intervention
por: Niimi, Nozomi, et al.
Publicado: (2022)

MultiGML: Multimodal graph machine learning for prediction of adverse drug events
por: Krix, Sophia, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_r94e4raa0f9suanmcm4qgm5j7q