131 related articles for article (PubMed ID: 20842209)
1. Predicting Acute Hypotensive Episodes: The 10th Annual PhysioNet/Computers in Cardiology Challenge.
Moody G; Lehman L
Comput Cardiol; 2009; 36(5445351):541-544. PubMed ID: 20842209
[TBL] [Abstract][Full Text] [Related]
2. Prediction of acute hypotensive episodes by means of neural network multi-models.
Rocha T; Paredes S; de Carvalho P; Henriques J
Comput Biol Med; 2011 Oct; 41(10):881-90. PubMed ID: 21899833
[TBL] [Abstract][Full Text] [Related]
3. Wavelet based time series forecast with application to acute hypotensive episodes prediction.
Rocha T; Paredes S; Carvalho P; Henriques J; Harris M
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():2403-6. PubMed ID: 21095693
[TBL] [Abstract][Full Text] [Related]
4. Predicting Future Occurrence of Acute Hypotensive Episodes Using Noninvasive and Invasive Features.
Sun Y; Rashedi N; Vaze V; Shah P; Halter R; Elliott JT; Paradis NA
Mil Med; 2021 Jan; 186(Suppl 1):445-451. PubMed ID: 33499528
[TBL] [Abstract][Full Text] [Related]
5. The Role of Baroreflex Sensitivity in Acute Hypotensive Episodes Prediction in the Intensive Care Unit.
Angelotti G; Morandini P; Lehman LH; Mark RG; Barbieri R
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2784-2787. PubMed ID: 30440979
[TBL] [Abstract][Full Text] [Related]
6. Predicting In-Hospital Mortality of ICU Patients: The PhysioNet/Computing in Cardiology Challenge 2012.
Silva I; Moody G; Scott DJ; Celi LA; Mark RG
Comput Cardiol (2010); 2012; 39():245-248. PubMed ID: 24678516
[TBL] [Abstract][Full Text] [Related]
7. Generalizable deep temporal models for predicting episodes of sudden hypotension in critically ill patients: a personalized approach.
Chan B; Chen B; Sedghi A; Laird P; Maslove D; Mousavi P
Sci Rep; 2020 Jul; 10(1):11480. PubMed ID: 32651401
[TBL] [Abstract][Full Text] [Related]
8. [Study on predicting model for acute hypotensive episodes in ICU based on support vector machine].
Lai L; Wang Z; Wu X; Xiong D
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Jun; 28(3):451-5. PubMed ID: 21774200
[TBL] [Abstract][Full Text] [Related]
9. [Acute hypotensive episodes prediction based on non-linear chaotic analysis].
Jiang D; Li L; Peng C
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Feb; 32(1):209-13. PubMed ID: 25997294
[TBL] [Abstract][Full Text] [Related]
10. A dual boundary classifier for predicting acute hypotensive episodes in critical care.
Bhattacharya S; Huddar V; Rajan V; Reddy CK
PLoS One; 2018; 13(2):e0193259. PubMed ID: 29474481
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Prediction of Patient-specific Acute Hypotensive Episodes in ICU Using Deep Models.
Chan B; Sedghi A; Laird P; Maslove D; Mousavi P
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():566-569. PubMed ID: 31945962
[TBL] [Abstract][Full Text] [Related]
13. Prediction of acute hypertensive episodes in critically ill patients.
Itzhak N; Pessach IM; Moskovitch R
Artif Intell Med; 2023 May; 139():102525. PubMed ID: 37100504
[TBL] [Abstract][Full Text] [Related]
14. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
15. The PhysioNet/Computing in Cardiology Challenge 2010: Mind the Gap.
Moody GB
Comput Cardiol (2010); 2010 Sep; 37():305-309. PubMed ID: 21766058
[TBL] [Abstract][Full Text] [Related]
16. A machine learning method for acute hypotensive episodes prediction using only non-invasive parameters.
Zhang G; Yuan J; Yu M; Wu T; Luo X; Chen F
Comput Methods Programs Biomed; 2021 Mar; 200():105845. PubMed ID: 33309303
[TBL] [Abstract][Full Text] [Related]
17. Accessing the public MIMIC-II intensive care relational database for clinical research.
Scott DJ; Lee J; Silva I; Park S; Moody GB; Celi LA; Mark RG
BMC Med Inform Decis Mak; 2013 Jan; 13():9. PubMed ID: 23302652
[TBL] [Abstract][Full Text] [Related]
18. Prediction of mortality in Intensive Care Units: a multivariate feature selection.
Monteiro F; Meloni F; Baranauskas JA; Macedo AA
J Biomed Inform; 2020 Jul; 107():103456. PubMed ID: 32454242
[TBL] [Abstract][Full Text] [Related]
19. A multicenter study of the point prevalence of drug-induced hypotension in the ICU.
Kane-Gill SL; LeBlanc JM; Dasta JF; Devabhakthuni S;
Crit Care Med; 2014 Oct; 42(10):2197-203. PubMed ID: 25014064
[TBL] [Abstract][Full Text] [Related]
20. Interventions for preventing intensive care unit delirium in adults.
Herling SF; Greve IE; Vasilevskis EE; Egerod I; Bekker Mortensen C; Møller AM; Svenningsen H; Thomsen T
Cochrane Database Syst Rev; 2018 Nov; 11(11):CD009783. PubMed ID: 30484283
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
