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Papers: 10.1038/s41598-020-72147-8

https://doi.org/10.1038/s41598-020-72147-8

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

Cited by: 15
Author(s): Vasiliki Bikia, Theodore G. Papaioannou, Stamatia Pagoulatou, Georgios Rovas, Evangelos Oikonomou, Gerasimos Siasos, Dimitris Tousoulis, Nikolaos Stergiopulos
Published: about 6 years ago

Software Mentions 4

pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
Very Likely Science (100)
pypi: statsmodels
Statistical computations and models for Python
Papers that mentioned: 277
Very Likely Science (90)
pypi: SVR
Used to retrieve the latest version of a software and will return it as a string
Papers that mentioned: 102
Very Likely Science (65)