Python for healthcare analytics made simple

Doraikannan, Sumathi; Selvaraj, Prabha

doi:10.1049/pbhe029e_ch15

Cited by 1 publication

(1 citation statement)

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“…The term "data analytics" is used to describe a variety of different forms of analysis. The integration could be furthered for improved use of electronic medical records (EMR) in healthcare as specified in (Doraikannan, & Selvaraj, 2020) The remarkable anticipative feature brings awareness to various countries that the world bank has. This is used to determine the facilities regarding healthcare so that abundant precautionary measures must be taken during this pandemic.…”

Section: Mitigating the Consequences Of Covid-19mentioning

confidence: 99%

Visualisation and prediction of Covid-19 data using random forest regression

Sumathi

Poongodi

Suresh

et al. 2023

JCST

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The outbreak of COVID-19 has spread among several parts of the world. The data pool increases tremendously, which needs excellent attention by researchers of various domains to analyze and determine the measures to handle it. Hence, researchers worldwide are looking into Artificial Intelligence (AI) to resolve the challenges due to this COVID-19. It could be stated that AI can examine huge data mounds so that several new findings can be determined. AI could be deployed in various fields, such as the pharmaceutical industry, the analysis and development of vaccines and antibodies, and drug designing. Due to the impressive progress that AI has made in the latest few years, still, it proves to be the essential quality of the technology and evidence of humans' creativity towards the contribution of developing tools and products which could be statistically and computationally complex. It is observed that AI technology aids in tracing the outburst, patient diagnosis and fastening the procedure of finding a treatment. This work provides an overview of COVID-19, along with the convergence of technologies that could be applied in various sections to handle this pandemic. An extensive exploration of multiple techniques and models has been implemented for the prediction of COVID-19 has been done. Additionally, numerous models have been deployed for predictions of covid states. It has been inferred that XGBoost showed considerable progress in the prophecy.

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Section: Mitigating the Consequences Of Covid-19mentioning

confidence: 99%