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- W4385192854 abstract "Everyone is attempting to be health aware now that the epidemic is over. There is a chance that we'll have a sickness in our bodies but are not known to the person affected. And it may be inner damage. At any stage of its manifestations, it might create any kind of sickness. In this contest in this paper As a result, we have such a datasets depending on medical health history, and developing the model by using a machine learning technique which utilizes the above said data. The proposed algorithm will be able to forecast certain diseases before they show the severe symptoms. By this the sufferers will be susceptible and they can be monitored and the treatment can be given on time." @default.
- W4385192854 created "2023-07-25" @default.
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- W4385192854 date "2023-05-12" @default.
- W4385192854 modified "2023-09-23" @default.
- W4385192854 title "Acute And Chronic Disease Diagnosis Using ML For Post Covid 19 Medical Issues" @default.
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- W4385192854 doi "https://doi.org/10.1109/icacite57410.2023.10182762" @default.
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