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1Academic Journal
المؤلفون: Britta Trautwein, Tamara Merz, Nicole Denoix, Csaba Szabo, Enrico Calzia, Peter Radermacher, Oscar McCook
المصدر: Antioxidants, Vol 10, Iss 2, p 233 (2021)
مصطلحات موضوعية: hydrogen sulfide, oxytocin, mitochondria, early life stress, psychosomatic, anxiolytic, Therapeutics. Pharmacology, RM1-950
وصف الملف: electronic resource
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2
المؤلفون: Inès Bendib Le Lan, François Bagate, Guillaume Voiriot, Maud Loiselle, Nicolas de Prost, Elodie Salvador, Sebastien Preau, Britta Trautwein, Eric Azabou, Fabrice Uhel, Benjamine Sarton, Peter Radermacher, Gabriel Masson, Guillaume Millot, Fabrice Ferré, Mehdi Oualha, Boris Jung, Nicole Denoix, Stein Silva, Tamara Merz, Crt de la Srlf, Lara Zafrani, Benoît Brassart, Youenn Jouan, Alexandre Elabbadi, Dominique Vodovar
المصدر: Médecine Intensive Réanimation. 30:203-214
مصطلحات موضوعية: Intensive care, Emergency Medicine, Library science, Translational research, Sociology, Emergency Nursing
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3
المؤلفون: Britta Trautwein
المصدر: Neues Jahrbuch für Geologie und Paläontologie - Abhandlungen. 230:331-357
مصطلحات موضوعية: Subduction, Margin (machine learning), visual_art, Geochronology, Erosion, Geochemistry, visual_art.visual_art_medium, Paleontology, Fission track dating, Accretion (geology), Apatite, Geology, Zircon
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4
المؤلفون: Britta Trautwein, István Dunkl, Joachim Kuhlemann, Wolfgang Frisch
المصدر: Terra Nova. 13:382-393
مصطلحات موضوعية: Pangaea, Paleontology, Provenance, Flysch, Permian, Geology, Cenomanian, Fission track dating, Zircon, Nappe
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5
المؤلفون: Wolfgang Frisch, István Dunkl, Britta Trautwein
المصدر: International Journal of Earth Sciences. 90:703-713
مصطلحات موضوعية: Thermochronology, Paleontology, Underplating, Flysch, Accretionary wedge, Continental margin, General Earth and Planetary Sciences, Fission track dating, Accretion (geology), Geology, Nappe
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6
المؤلفون: Britta Trautwein
المصدر: Nachwuchsförderung in der Wissenschaft ISBN: 9783642412561
مصطلحات موضوعية: Engineering, business.industry, Media studies, business, Humanities
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7Report
المساهمون: Britta Trautwein, Resident doctor
المصدر: PrEventing PostoPERative Pulmonary Complications by Establishing a MachINe-learning assisTed Approach
Fernandez-Bustamante A, Frendl G, Sprung J, Kor DJ, Subramaniam B, Martinez Ruiz R, Lee JW, Henderson WG, Moss A, Mehdiratta N, Colwell MM, Bartels K, Kolodzie K, Giquel J, Vidal Melo MF. Postoperative Pulmonary Complications, Early Mortality, and Hospital Stay Following Noncardiothoracic Surgery: A Multicenter Study by the Perioperative Research Network Investigators. JAMA Surg. 2017 Feb 1;152(2):157-166. doi: 10.1001/jamasurg.2016.4065.
Ferreyra GP, Baussano I, Squadrone V, Richiardi L, Marchiaro G, Del Sorbo L, Mascia L, Merletti F, Ranieri VM. Continuous positive airway pressure for treatment of respiratory complications after abdominal surgery: a systematic review and meta-analysis. Ann Surg. 2008 Apr;247(4):617-26. doi: 10.1097/SLA.0b013e3181675829.
Miskovic A, Lumb AB. Postoperative pulmonary complications. Br J Anaesth. 2017 Mar 1;118(3):317-334. doi: 10.1093/bja/aex002.
Abbott TEF, Fowler AJ, Pelosi P, Gama de Abreu M, Moller AM, Canet J, Creagh-Brown B, Mythen M, Gin T, Lalu MM, Futier E, Grocott MP, Schultz MJ, Pearse RM; StEP-COMPAC Group. A systematic review and consensus definitions for standardised end-points in perioperative medicine: pulmonary complications. Br J Anaesth. 2018 May;120(5):1066-1079. doi: 10.1016/j.bja.2018.02.007. Epub 2018 Mar 27.
Ball L, Pelosi P. Predictive scores for postoperative pulmonary complications: time to move towards clinical practice. Minerva Anestesiol. 2016 Mar;82(3):265-7. Epub 2015 Sep 4. No abstract available.
Nithiuthai J, Siriussawakul A, Junkai R, Horugsa N, Jarungjitaree S, Triyasunant N. Do ARISCAT scores help to predict the incidence of postoperative pulmonary complications in elderly patients after upper abdominal surgery? An observational study at a single university hospital. Perioper Med (Lond). 2021 Dec 8;10(1):43. doi: 10.1186/s13741-021-00214-3.
Xue B, Li D, Lu C, King CR, Wildes T, Avidan MS, Kannampallil T, Abraham J. Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications. JAMA Netw Open. 2021 Mar 1;4(3):e212240. doi: 10.1001/jamanetworkopen.2021.2240.
Szabo M, Bozo A, Darvas K, Soos S, Ozse M, Ivanyi ZD. The role of ultrasonographic lung aeration score in the prediction of postoperative pulmonary complications: an observational study. BMC Anesthesiol. 2021 Jan 14;21(1):19. doi: 10.1186/s12871-021-01236-6.
van Sloun RJG, Demi L. Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results. IEEE J Biomed Health Inform. 2020 Apr;24(4):957-964. doi: 10.1109/JBHI.2019.2936151. Epub 2019 Aug 19.
Brusasco C, Santori G, Tavazzi G, Via G, Robba C, Gargani L, Mojoli F, Mongodi S, Bruzzo E, Tro R, Boccacci P, Isirdi A, Forfori F, Corradi F; UCARE (Ultrasound in Critical care and Anesthesia Research Group). Second-order grey-scale texture analysis of pleural ultrasound images to differentiate acute respiratory distress syndrome and cardiogenic pulmonary edema. J Clin Monit Comput. 2022 Feb;36(1):131-140. doi: 10.1007/s10877-020-00629-1. Epub 2020 Dec 12.
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