Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients

Research article (PLoS neglected tropical diseases, 2016) · cited 86× · AI/ML
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Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients

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Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients. Retrieved May 24, 2026, from https://4ort.xyz/entity/transforming-clinical-data-into-actionable-prognosis-models-machine-learning-framework-and-field-deployable-app-to-predi
MLA “Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/transforming-clinical-data-into-actionable-prognosis-models-machine-learning-framework-and-field-deployable-app-to-predi.
BibTeX @misc{4ortxyz_transforming-clinical-data-into-actionable-prognosis-models-machine-learning-framework-and-field-deployable-app-to-predi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients}}, year = {2026}, url = {https://4ort.xyz/entity/transforming-clinical-data-into-actionable-prognosis-models-machine-learning-framework-and-field-deployable-app-to-predi}, note = {Accessed: 2026-05-24}}
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