Cargando…
Empirical Study on Classifiers for Earlier Prediction of COVID-19 Infection Cure and Death Rate in the Indian States
Machine Learning methods can play a key role in predicting the spread of respiratory infection with the help of predictive analytics. Machine Learning techniques help mine data to better estimate and predict the COVID-19 infection status. A Fine-tuned Ensemble Classification approach for predicting...
Autores principales: | Guleria, Pratiyush, Ahmed, Shakeel, Alhumam, Abdulaziz, Srinivasu, Parvathaneni Naga |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775063/ https://www.ncbi.nlm.nih.gov/pubmed/35052249 http://dx.doi.org/10.3390/healthcare10010085 |
Ejemplares similares
-
A Software Framework for Intelligent Security Measures Regarding Sensor Data in the Context of Ambient Assisted Technology
por: Ahmed, Shakeel, et al.
Publicado: (2023) -
AAL and Internet of Medical Things for Monitoring Type-2 Diabetic Patients
por: Ahmed, Shakeel, et al.
Publicado: (2022) -
Explainable AI and machine learning: performance evaluation and explainability of classifiers on educational data mining inspired career counseling
por: Guleria, Pratiyush, et al.
Publicado: (2022) -
Variational Autoencoders-BasedSelf-Learning Model for Tumor Identification and Impact Analysis from 2-D MRI Images
por: Naga Srinivasu, Parvathaneni, et al.
Publicado: (2023) -
Self-Learning Network-based segmentation for real-time brain M.R. images through HARIS
por: Naga Srinivasu, Parvathaneni, et al.
Publicado: (2021)