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CNN and LSTM issues

BUTRRRSBUTRRRS Member Posts: 3 Learner I
Hello, Rapidminer community,
I am a new RapidMiner learner.
Recently, I got some data and I also need to use those data to predict whether a patient has hypertension. 
Here are some files:
Patients_res.csv: It already has results for patients, based on signal.csv
signal.csv: it includes those resulted patient signal from time t=0 to t=2099 


NP_patient.csv: the patients need to predict.
SP.csv: need to predicted patients signal.


One question is that can I use the LSTM or CNN to predict hypertension based on signal features?
Thank you

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    MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,507 RM Data Scientist
    why exactly do you think that LSTMs are specifically good for this? This looks like 'normal classification' and not Time series forecast, the discipline LSTMs excel in.

    Let me also reference @DocMusher here. He is a MD and thus our expert on those topics.

    Cheers,
    Martin
    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
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    BUTRRRSBUTRRRS Member Posts: 3 Learner I
    Hi @mschmitz,
    I have used other models to predict hypertension. Such as K-NN, Naive Bayes, Decision Tree, Neural Net. They all work fine. 
    The reason why I use LSTM or CNN to predict the patient's hypertension is I wanna know it can predict it or not?
    I have tried LSTM by myself. Due to data structure, there are some problems. I checked other examples in the Community. For instance, data from online examples use 2 attributes to predicted , like time and price. In my example, it has more than 3 attributes.
    This confused me,  :'(

    Cheers,
    Frank

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    MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,507 RM Data Scientist
    LSTMs use Tensors as input, thats there strength but make their handling also more complex. As I said LSTMS can be used for your use case, but are more frequently used for time series forecasting. I am not sure if we have an example for Time Series -> Binomial using LSTMs. Maybe @Mate can help?
    Best,
    Martin
    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
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    BUTRRRSBUTRRRS Member Posts: 3 Learner I
    @Mate
    Thank you.
    Kind regards
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