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The Great
The Great
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Let's say I have a medical dataset/EHR dataset that is retrospective and longitudinal in nature. Meaning one person has multiple measurements across multiple time points (in the past). I did post here but couldn't get any response. So, posting it here

This dataset contains information about patients' diagnosis, mortality flag, labs, admissions, and drugs consumed, etc.

Now, if I would like to find out predictors that can influence mortality, I can use logistic regression (whether the patient will die or not).

But my objective is to find out what are the predictors that can help me predict whether a person will die in the next 30 days or the next 240 days, how can I do this using ML/Data Analysis techniques?

In addition, I would also like to compute a score that can indicate the likelihood that this person will die in the next 30 days? How can I compute the scores? Any tutorials links on how is this score derived?, please?

Can you please let me know what are the different analytic techniques that I can use to address this problem and different approaches to calculate score?

I would like to read and try solving problems like this

Let's say I have a medical dataset/EHR dataset that is retrospective and longitudinal in nature. Meaning one person has multiple measurements across multiple time points (in the past). I did post here but couldn't get any response. So, posting it here

This dataset contains information about patients' diagnosis, labs, admissions, and drugs consumed, etc.

Now, if I would like to find out predictors that can influence mortality, I can use logistic regression (whether the patient will die or not).

But my objective is to find out what are the predictors that can help me predict whether a person will die in the next 30 days or the next 240 days, how can I do this using ML/Data Analysis techniques?

In addition, I would also like to compute a score that can indicate the likelihood that this person will die in the next 30 days? How can I compute the scores? Any tutorials links on how is this score derived?, please?

Can you please let me know what are the different analytic techniques that I can use to address this problem and different approaches to calculate score?

I would like to read and try solving problems like this

Let's say I have a medical dataset/EHR dataset that is retrospective and longitudinal in nature. Meaning one person has multiple measurements across multiple time points (in the past). I did post here but couldn't get any response. So, posting it here

This dataset contains information about patients' diagnosis, mortality flag, labs, admissions, and drugs consumed, etc.

Now, if I would like to find out predictors that can influence mortality, I can use logistic regression (whether the patient will die or not).

But my objective is to find out what are the predictors that can help me predict whether a person will die in the next 30 days or the next 240 days, how can I do this using ML/Data Analysis techniques?

In addition, I would also like to compute a score that can indicate the likelihood that this person will die in the next 30 days? How can I compute the scores? Any tutorials links on how is this score derived?, please?

Can you please let me know what are the different analytic techniques that I can use to address this problem and different approaches to calculate score?

I would like to read and try solving problems like this

Source Link
The Great
The Great
  • 2.7k
  • 2
  • 22
  • 48

How to compute score and predict for outcome after N days

Let's say I have a medical dataset/EHR dataset that is retrospective and longitudinal in nature. Meaning one person has multiple measurements across multiple time points (in the past). I did post here but couldn't get any response. So, posting it here

This dataset contains information about patients' diagnosis, labs, admissions, and drugs consumed, etc.

Now, if I would like to find out predictors that can influence mortality, I can use logistic regression (whether the patient will die or not).

But my objective is to find out what are the predictors that can help me predict whether a person will die in the next 30 days or the next 240 days, how can I do this using ML/Data Analysis techniques?

In addition, I would also like to compute a score that can indicate the likelihood that this person will die in the next 30 days? How can I compute the scores? Any tutorials links on how is this score derived?, please?

Can you please let me know what are the different analytic techniques that I can use to address this problem and different approaches to calculate score?

I would like to read and try solving problems like this