Shital Parekh
Dados Biográficos
| ID | 7948554 |
|---|---|
| NOME | Shital Parekh |
| PRENOMES | Shital |
| SOBRENOME | Parekh |
| ASSINATURA | PAREKH S |
| AFILIAÇÕES | Milton Keynes Hospital |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 1 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2021 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2021 |
| ÍNDICE H | 0 |
Using Machine Learning Algorithms to Develop a Clinical Decision-Making Tool for Covid-19 Inpatients
The proposed probabilistic models were able to predict, using feature selected risk factors, the probability of the mentioned outcomes. Overall, our findings demonstrate reliable, multivariable, quantitative predictive models for four outcomes, which utilise readily available clinical information for COVID-19 adult inpatients. Further research is required to externally validate our models and demonstrate their utility as risk stratification and c…
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Using Machine Learning Algorithms to Develop a Clinical Decision-Making Tool for Covid-19 Inpatients
The proposed probabilistic models were able to predict, using feature selected risk factors, the probability of the mentioned outcomes. Overall, our findings demonstrate reliable, multivariable, quantitative predictive models for four outcomes, which utilise readily available clinical information for COVID-19 adult inpatients. Further research is required to externally validate our models and demonstrate their utility as risk stratification and c…
Artificial Intelligence (1 obras) · Bayesian network (1 obras) · Computer Science (1 obras) · Coronavirus disease 2019 (COVID-19 (1 obras) · COVID-19 Clinical Research Studies (1 obras) · COVID-19 diagnosis using AI (1 obras) · Data mining (1 obras) · Decision tree (1 obras) · Engineering (1 obras) · Infectious disease (medical specialty (1 obras)