Bayesian Network as a Decision Tool for Predicting ALS Disease: Difference between revisions
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== Presented by == | |||
Bsodjahi | |||
== Introduction == | |||
In this paper, the authors . | |||
== Previous Work == | |||
Abc. | |||
Abc . | |||
Abc. | |||
== Motivation == | |||
Abc. | |||
== Model Architecture == | |||
[[https://onlinelibrary-wiley-com.proxy.lib.uwaterloo.ca/cms/asset/f9c3873d-5716-48cc-9921-c037005ad60e/exsy12705-fig-0003-m.jpg]] | |||
Abc. | |||
== Results == | |||
Abc. | |||
Abc. | |||
IAbc. | |||
== Conclusion == | |||
Abc. | |||
== References == | |||
Bakator, M., & Radosav, D. (2018). Deep learning and medical diagnosis: A review of literature. Multimodal Technologies and Interaction, 2(3), 47. | |||
Rajaraman, S., Candemir, S., Kim, I., Thoma, G., & Antani, S. (2018). Visualization and interpretation of convolutional neural network predictions in detecting pneumonia in pediatric chest radiographs. Applied Sciences, 8(10), 1715. | |||
Revision as of 13:56, 22 November 2021
Presented by
Bsodjahi
Introduction
In this paper, the authors .
Previous Work
Abc.
Abc .
Abc.
Motivation
Abc.
Model Architecture
[[1]]
![[1]](https://onlinelibrary-wiley-com.proxy.lib.uwaterloo.ca/cms/asset/f9c3873d-5716-48cc-9921-c037005ad60e/exsy12705-fig-0003-m.jpg){kind=link}
Abc.
Results
Abc.
Abc.
IAbc.
Conclusion
Abc.
References
Bakator, M., & Radosav, D. (2018). Deep learning and medical diagnosis: A review of literature. Multimodal Technologies and Interaction, 2(3), 47.
Rajaraman, S., Candemir, S., Kim, I., Thoma, G., & Antani, S. (2018). Visualization and interpretation of convolutional neural network predictions in detecting pneumonia in pediatric chest radiographs. Applied Sciences, 8(10), 1715.