How to train and test dataset with multiple fold data set?

@anwarm1 wrote:

Hi,
I would like to know how to deal with dataset which has multiple fold information. For example: If I have list of patients and I want to predict the risk of disease and I want to use attributes like weight, heart rate every hour and other tests. So I will have a data which represents same patient multiple times in the dataset like below:

Patient - Weight - HeartRate - RiskScore

0001        45         90           9.011
0001        47         93           9.23
0002        69         100          4.33
0002        68         101          3.44
0002        69         103          2.43

So for above training set I am predicting the risk score for any new patient with similar data. Now how do I train such data. Do I need to get some averages for this kind of data or is there any algorithm which can handle such data set and train.
Can you please help with this?

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