205 related articles for article (PubMed ID: 32828438)
1. A novel method for predicting the progression rate of ALS disease based on automatic generation of probabilistic causal chains.
Ahangaran M; Jahed-Motlagh MR; Minaei-Bidgoli B
Artif Intell Med; 2020 Jul; 107():101879. PubMed ID: 32828438
[TBL] [Abstract][Full Text] [Related]
2. Causal discovery from sequential data in ALS disease based on entropy criteria.
Ahangaran M; Jahed-Motlagh MR; Minaei-Bidgoli B
J Biomed Inform; 2019 Jan; 89():41-55. PubMed ID: 30339928
[TBL] [Abstract][Full Text] [Related]
3. A Dynamic Bayesian Network model for the simulation of Amyotrophic Lateral Sclerosis progression.
Zandonà A; Vasta R; Chiò A; Di Camillo B
BMC Bioinformatics; 2019 Apr; 20(Suppl 4):118. PubMed ID: 30999865
[TBL] [Abstract][Full Text] [Related]
4. Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis.
Leão T; Madeira SC; Gromicho M; de Carvalho M; Carvalho AM
J Biomed Inform; 2021 May; 117():103730. PubMed ID: 33737206
[TBL] [Abstract][Full Text] [Related]
5. Using an onset-anchored Bayesian hierarchical model to improve predictions for amyotrophic lateral sclerosis disease progression.
Karanevich AG; Statland JM; Gajewski BJ; He J
BMC Med Res Methodol; 2018 Feb; 18(1):19. PubMed ID: 29409450
[TBL] [Abstract][Full Text] [Related]
6. An algorithm for direct causal learning of influences on patient outcomes.
Rathnam C; Lee S; Jiang X
Artif Intell Med; 2017 Jan; 75():1-15. PubMed ID: 28363452
[TBL] [Abstract][Full Text] [Related]
7. DBN-Extended: A Dynamic Bayesian Network Model Extended With Temporal Abstractions for Coronary Heart Disease Prognosis.
Orphanou K; Stassopoulou A; Keravnou E
IEEE J Biomed Health Inform; 2016 May; 20(3):944-952. PubMed ID: 25861090
[TBL] [Abstract][Full Text] [Related]
8. Developing Bayesian networks from a dependency-layered ontology: A proof-of-concept in radiation oncology.
Kalet AM; Doctor JN; Gennari JH; Phillips MH
Med Phys; 2017 Aug; 44(8):4350-4359. PubMed ID: 28500765
[TBL] [Abstract][Full Text] [Related]
9. Causal discovery using a Bayesian local causal discovery algorithm.
Mani S; Cooper GF
Stud Health Technol Inform; 2004; 107(Pt 1):731-5. PubMed ID: 15360909
[TBL] [Abstract][Full Text] [Related]
10. Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression.
Tavazzi E; Daberdaku S; Zandonà A; Vasta R; Nefussy B; Lunetta C; Mora G; Mandrioli J; Grisan E; Tarlarini C; Calvo A; Moglia C; Drory V; Gotkine M; Chiò A; Di Camillo B;
J Neurol; 2022 Jul; 269(7):3858-3878. PubMed ID: 35266043
[TBL] [Abstract][Full Text] [Related]
11. Causal inference in biology networks with integrated belief propagation.
Chang R; Karr JR; Schadt EE
Pac Symp Biocomput; 2015; ():359-70. PubMed ID: 25592596
[TBL] [Abstract][Full Text] [Related]
12. Estimating Amyotrophic Lateral Sclerosis and Motor Neuron Disease Prevalence in Portugal Using a Pharmaco-Epidemiological Approach and a Bayesian Multiparameter Evidence Synthesis Model.
Conde B; Winck JC; Azevedo LF
Neuroepidemiology; 2019; 53(1-2):73-83. PubMed ID: 31117082
[TBL] [Abstract][Full Text] [Related]
13. Classifying flow cytometry data using Bayesian analysis helps to distinguish ALS patients from healthy controls.
Räuber S; Nelke C; Schroeter CB; Barman S; Pawlitzki M; Ingwersen J; Akgün K; Günther R; Garza AP; Marggraf M; Dunay IR; Schreiber S; Vielhaber S; Ziemssen T; Melzer N; Ruck T; Meuth SG; Herty M
Front Immunol; 2023; 14():1198860. PubMed ID: 37600819
[TBL] [Abstract][Full Text] [Related]
14. Causal discovery from medical textual data.
Mani S; Cooper GF
Proc AMIA Symp; 2000; ():542-6. PubMed ID: 11079942
[TBL] [Abstract][Full Text] [Related]
15. Comparative analysis of targeted metabolomics: dominance-based rough set approach versus orthogonal partial least square-discriminant analysis.
Blasco H; Błaszczyński J; Billaut JC; Nadal-Desbarats L; Pradat PF; Devos D; Moreau C; Andres CR; Emond P; Corcia P; Słowiński R
J Biomed Inform; 2015 Feb; 53():291-9. PubMed ID: 25499899
[TBL] [Abstract][Full Text] [Related]
16. Deconstructing progression of amyotrophic lateral sclerosis in stages: a Markov modeling approach.
Thakore NJ; Lapin BR; Kinzy TG; Pioro EP
Amyotroph Lateral Scler Frontotemporal Degener; 2018 Nov; 19(7-8):483-494. PubMed ID: 30001159
[TBL] [Abstract][Full Text] [Related]
17. Bayesian network ensemble as a multivariate strategy to predict radiation pneumonitis risk.
Lee S; Ybarra N; Jeyaseelan K; Faria S; Kopek N; Brisebois P; Bradley JD; Robinson C; Seuntjens J; El Naqa I
Med Phys; 2015 May; 42(5):2421-30. PubMed ID: 25979036
[TBL] [Abstract][Full Text] [Related]
18. Statins, neuromuscular degenerative disease and an amyotrophic lateral sclerosis-like syndrome: an analysis of individual case safety reports from vigibase.
Edwards IR; Star K; Kiuru A
Drug Saf; 2007; 30(6):515-25. PubMed ID: 17536877
[TBL] [Abstract][Full Text] [Related]
19. Analysis for warning factors of type 2 diabetes mellitus complications with Markov blanket based on a Bayesian network model.
Liu S; Zhang R; Shang X; Li W
Comput Methods Programs Biomed; 2020 May; 188():105302. PubMed ID: 31923820
[TBL] [Abstract][Full Text] [Related]
20. Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning.
Wu H; Shi W; Wang MD
BMC Med Inform Decis Mak; 2024 May; 24(1):137. PubMed ID: 38802809
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
