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Prediction of patients who needs to be admitted to ICU #3

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gautam1858 opened this issue Apr 3, 2020 · 8 comments
Open

Prediction of patients who needs to be admitted to ICU #3

gautam1858 opened this issue Apr 3, 2020 · 8 comments

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@gautam1858
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Model that predicts whether a patient needs to be admitted to ICU

@sumitkumarju
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sumitkumarju commented Apr 3, 2020

Sir I am working on this issue.
i need some help-
sir what are the units of the different columns in the patients.xsls.
Also, it would be nice to get values for each category for normal patients which can be used to fill Nan values in the data frame as filling NAN values with column.mean() will hamper the model predictions

@gautam1858
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You don't have to know units for the prediciton.
(its unnecessary for example Hemoglobin unit is grams per deciliter )

@sumitkumarju
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Actaully i needed them to get the normal values for each category which further can be used as the default values to fill Nan values in the dataframe.

@sumitkumarju
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should i replace the nan values with the mean value for each column?

@gautam1858
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Start by removing rows containing nan values, taking mean wouldn’t be a good idea

@sumitkumarju
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that leaves with zero rows in the dataframe

@gautam1858
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@swapnanilsharma
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I found most of the data are not updated.
It seems ICMR is no more publishing "ICMRTestingDetails.csv" data anymore. Could you please help me with some authentic source for testing related data if you know any.
Also please help me with updated "patients.xlsx" data or the source of the same.

Thank you

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