These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
5. An investigation of patterns in hemodynamic data indicative of impending hypotension in intensive care. Lee J; Mark RG Biomed Eng Online; 2010 Oct; 9():62. PubMed ID: 20973998 [TBL] [Abstract][Full Text] [Related]
6. Prediction of an Acute Hypotensive Episode During an ICU Hospitalization With a Super Learner Machine-Learning Algorithm. Cherifa M; Blet A; Chambaz A; Gayat E; Resche-Rigon M; Pirracchio R Anesth Analg; 2020 May; 130(5):1157-1166. PubMed ID: 32287123 [TBL] [Abstract][Full Text] [Related]
7. Artefact in Physiological Data Collected from Patients with Brain Injury: Quantifying the Problem and Providing a Solution Using a Factorial Switching Linear Dynamical Systems Approach. Georgatzis K; Lal P; Hawthorne C; Shaw M; Piper I; Tarbert C; Donald R; Williams CK Acta Neurochir Suppl; 2016; 122():301-5. PubMed ID: 27165926 [TBL] [Abstract][Full Text] [Related]
8. Development of a prediction model for hypotension after induction of anesthesia using machine learning. Kang AR; Lee J; Jung W; Lee M; Park SY; Woo J; Kim SH PLoS One; 2020; 15(4):e0231172. PubMed ID: 32298292 [TBL] [Abstract][Full Text] [Related]
9. American society of anesthesiologists physical status classification significantly affects the performances of machine learning models in intraoperative hypotension inference. Dong Z; Chen X; Ritter J; Bai L; Huang J J Clin Anesth; 2024 Feb; 92():111309. PubMed ID: 37922642 [TBL] [Abstract][Full Text] [Related]
10. Design and internal validation of an obstetric early warning score: secondary analysis of the Intensive Care National Audit and Research Centre Case Mix Programme database. Carle C; Alexander P; Columb M; Johal J Anaesthesia; 2013 Apr; 68(4):354-67. PubMed ID: 23488833 [TBL] [Abstract][Full Text] [Related]
11. Performance of a machine-learning algorithm to predict hypotension in mechanically ventilated patients with COVID-19 admitted to the intensive care unit: a cohort study. van der Ven WH; Terwindt LE; Risvanoglu N; Ie ELK; Wijnberge M; Veelo DP; Geerts BF; Vlaar APJ; van der Ster BJP J Clin Monit Comput; 2022 Oct; 36(5):1397-1405. PubMed ID: 34775533 [TBL] [Abstract][Full Text] [Related]
12. A machine-learning approach to predicting hypotensive events in ICU settings. Moghadam MC; Abad EMK; Bagherzadeh N; Ramsingh D; Li GP; Kain ZN Comput Biol Med; 2020 Mar; 118():103626. PubMed ID: 32174328 [TBL] [Abstract][Full Text] [Related]
13. Novel methods to predict increased intracranial pressure during intensive care and long-term neurologic outcome after traumatic brain injury: development and validation in a multicenter dataset. Güiza F; Depreitere B; Piper I; Van den Berghe G; Meyfroidt G Crit Care Med; 2013 Feb; 41(2):554-64. PubMed ID: 23263587 [TBL] [Abstract][Full Text] [Related]
14. Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer. Santos HGD; Zampieri FG; Normilio-Silva K; Silva GTD; Lima ACP; Cavalcanti AB; Chiavegatto Filho ADP J Crit Care; 2020 Feb; 55():73-78. PubMed ID: 31715534 [TBL] [Abstract][Full Text] [Related]
15. Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach. Awad A; Bader-El-Den M; McNicholas J; Briggs J Int J Med Inform; 2017 Dec; 108():185-195. PubMed ID: 29132626 [TBL] [Abstract][Full Text] [Related]
16. Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis. Hatib F; Jian Z; Buddi S; Lee C; Settels J; Sibert K; Rinehart J; Cannesson M Anesthesiology; 2018 Oct; 129(4):663-674. PubMed ID: 29894315 [TBL] [Abstract][Full Text] [Related]
17. Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit. Yoon JH; Jeanselme V; Dubrawski A; Hravnak M; Pinsky MR; Clermont G Crit Care; 2020 Nov; 24(1):661. PubMed ID: 33234161 [TBL] [Abstract][Full Text] [Related]
18. Federating distributed clinical data for the prediction of adverse hypotensive events. Stell A; Sinnott R; Jiang J; Donald R; Chambers I; Citerio G; Enblad P; Gregson B; Howells T; Kiening K; Nilsson P; Ragauskas A; Sahuquillo J; Piper I Philos Trans A Math Phys Eng Sci; 2009 Jul; 367(1898):2679-90. PubMed ID: 19487204 [TBL] [Abstract][Full Text] [Related]
19. Trajectories of early secondary insults correlate to outcomes of traumatic brain injury: results from a large, single centre, observational study. Volpi PC; Robba C; Rota M; Vargiolu A; Citerio G BMC Emerg Med; 2018 Dec; 18(1):52. PubMed ID: 30518336 [TBL] [Abstract][Full Text] [Related]