104 related articles for article (PubMed ID: 26738187)
21. 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]
22. Mining Contiguous Sequential Generators in Biological Sequences.
Zhang J; Wang Y; Zhang C; Shi Y
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(5):855-867. PubMed ID: 26529774
[TBL] [Abstract][Full Text] [Related]
23. A mathematical theory of shape and neuro-fuzzy methodology-based diagnostic analysis: a comparative study on early detection and treatment planning of brain cancer.
Kar S; Majumder DD
Int J Clin Oncol; 2017 Aug; 22(4):667-681. PubMed ID: 28321787
[TBL] [Abstract][Full Text] [Related]
24. Machine Learning Algorithm Helps Identify Non-Diagnosed Prodromal Alzheimer's Disease Patients in the General Population.
Uspenskaya-Cadoz O; Alamuri C; Wang L; Yang M; Khinda S; Nigmatullina Y; Cao T; Kayal N; O'Keefe M; Rubel C
J Prev Alzheimers Dis; 2019; 6(3):185-191. PubMed ID: 31062833
[TBL] [Abstract][Full Text] [Related]
25. Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier.
Davoodi R; Moradi MH
J Biomed Inform; 2018 Mar; 79():48-59. PubMed ID: 29471111
[TBL] [Abstract][Full Text] [Related]
26. Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results.
Otero FE; Freitas AA
Evol Comput; 2016; 24(3):385-409. PubMed ID: 26066807
[TBL] [Abstract][Full Text] [Related]
27. Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores.
Houthooft R; Ruyssinck J; van der Herten J; Stijven S; Couckuyt I; Gadeyne B; Ongenae F; Colpaert K; Decruyenaere J; Dhaene T; De Turck F
Artif Intell Med; 2015 Mar; 63(3):191-207. PubMed ID: 25579436
[TBL] [Abstract][Full Text] [Related]
28. Treatment Prediction in the ICU Setting Using a Partitioned, Sequential Deep Time Series Analysis.
Shapiro M; Shahar Y
Stud Health Technol Inform; 2022 Jun; 295():360-361. PubMed ID: 35773884
[TBL] [Abstract][Full Text] [Related]
29. Interpretable Topic Features for Post-ICU Mortality Prediction.
Luo YF; Rumshisky A
AMIA Annu Symp Proc; 2016; 2016():827-836. PubMed ID: 28269879
[TBL] [Abstract][Full Text] [Related]
30. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
[TBL] [Abstract][Full Text] [Related]
31. Predictive models for pressure ulcers from intensive care unit electronic health records using Bayesian networks.
Kaewprag P; Newton C; Vermillion B; Hyun S; Huang K; Machiraju R
BMC Med Inform Decis Mak; 2017 Jul; 17(Suppl 2):65. PubMed ID: 28699545
[TBL] [Abstract][Full Text] [Related]
32. A novel method for the efficient retrieval of similar multiparameter physiologic time series using wavelet-based symbolic representations.
Saeed M; Mark R
AMIA Annu Symp Proc; 2006; 2006():679-83. PubMed ID: 17238427
[TBL] [Abstract][Full Text] [Related]
33. Mining Sequential Risk Patterns From Large-Scale Clinical Databases for Early Assessment of Chronic Diseases: A Case Study on Chronic Obstructive Pulmonary Disease.
Cheng YT; Lin YF; Chiang KH; Tseng VS
IEEE J Biomed Health Inform; 2017 Mar; 21(2):303-311. PubMed ID: 28129195
[TBL] [Abstract][Full Text] [Related]
34. DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.
Shickel B; Loftus TJ; Adhikari L; Ozrazgat-Baslanti T; Bihorac A; Rashidi P
Sci Rep; 2019 Feb; 9(1):1879. PubMed ID: 30755689
[TBL] [Abstract][Full Text] [Related]
35. Development and evaluation of predictive alerts for hemodynamic instability in ICU patients.
Eshelman LJ; Lee KP; Frassica JJ; Zong W; Nielsen L; Saeed M
AMIA Annu Symp Proc; 2008 Nov; 2008():379-83. PubMed ID: 18999006
[TBL] [Abstract][Full Text] [Related]
36. Mining of high utility-probability sequential patterns from uncertain databases.
Zhang B; Lin JC; Fournier-Viger P; Li T
PLoS One; 2017; 12(7):e0180931. PubMed ID: 28742847
[TBL] [Abstract][Full Text] [Related]
37. Integrating monitor alarms with laboratory test results to enhance patient deterioration prediction.
Bai Y; Do DH; Harris PR; Schindler D; Boyle NG; Drew BJ; Hu X
J Biomed Inform; 2015 Feb; 53():81-92. PubMed ID: 25240252
[TBL] [Abstract][Full Text] [Related]
38. Complex-valued unsupervised convolutional neural networks for sleep stage classification.
Zhang J; Wu Y
Comput Methods Programs Biomed; 2018 Oct; 164():181-191. PubMed ID: 30195426
[TBL] [Abstract][Full Text] [Related]
39. Adaptive online monitoring for ICU patients by combining just-in-time learning and principal component analysis.
Li X; Wang Y
J Clin Monit Comput; 2016 Dec; 30(6):807-820. PubMed ID: 26392184
[TBL] [Abstract][Full Text] [Related]
40.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]
