Cargando…
Machine learning predictions of COVID-19 second wave end-times in Indian states
The estimate of the remaining time of an ongoing wave of epidemic spreading is a critical issue. Due to the variations of a wide range of parameters in an epidemic, for simple models such as Susceptible-Infected-Removed (SIR) model, it is difficult to estimate such a time scale. On the other hand, m...
Autores principales: | Kondapalli, Anvesh Reddy, Koganti, Hanesh, Challagundla, Sai Krishna, Guntaka, Chaitanya Suhaas Reddy, Biswas, Soumyajyoti |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485314/ https://www.ncbi.nlm.nih.gov/pubmed/34611386 http://dx.doi.org/10.1007/s12648-021-02195-x |
Ejemplares similares
-
Prediction of creep failure time using machine learning
por: Biswas, Soumyajyoti, et al.
Publicado: (2020) -
A Comparative Survey on Burnout and Resilience in Frontline workers afflicted by COVID 19 versus Non-afflicted, in the Second wave, in Andhra Pradesh, India.: Abstract for free paper presentation
por: Reddy, Papagatla Chaitanya Vardhan
Publicado: (2022) -
The report on the Indian coronary intervention data for the year 2017—National Interventional Council
por: Arramraju, Sreenivas Kumar, et al.
Publicado: (2019) -
Optimal management of hyperphosphatemia in end-stage renal disease: an Indian perspective
por: Reddy, Yogesh NV, et al.
Publicado: (2014) -
An interesting case of Rathke's cleft cyst presenting as bilateral cryptorchidism
por: Hanmayyagari, Babul Reddy, et al.
Publicado: (2013)