A novel approach for the prediction of treadmill test in cardiology using data mining algorithms implemented as a mobile application

OBJECTIVE: To develop a mobile app called “TMT Predict” to predict the results of Treadmill Test (TMT), using data mining techniques applied to a clinical dataset using minimal clinical attributes. To prospectively test the results of the app in realtime to TMT and correlate with coronary angiogram...

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Detalles Bibliográficos
Autores principales: Jerline Amutha, A., Padmajavalli, R., Prabhakar, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Clinical and Preventive Cardiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117803/
https://www.ncbi.nlm.nih.gov/pubmed/30170646
http://dx.doi.org/10.1016/j.ihj.2018.01.011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117803/
https://www.ncbi.nlm.nih.gov/pubmed/30170646
http://dx.doi.org/10.1016/j.ihj.2018.01.011

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