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Is it possible to work with more than one variable type in a Machine Learning Technique?

3 years ago in Likert Scale , Questionnaire , Questionnaire Design By Philip

Likert Scale Questionnaire

I have a bulk of patients' medical records, which include (heart rate, BP, Sugar, etc.). These details contain both images as well as text. Here, I have the complete records of cancer patients from 2018 to 2021?

1. Is it possible to work with more than one variable type?

2. Which is the best Machine Learning Technique to deal with patients' records?

I appreciate any help you can provide.

All Answers (6 Answers In All) Post Your Answer

By James Answered 3 years ago

Hi Philips, I am trying to understand the question here. Would you please explain a little bit about what you are expecting? I am looking forward to hearing from you.

Replied 3 years ago

By Philip

Hi, I am asking whether it is possible to give two different input variables like text and image?

Replied 3 years ago

By James

Yes, if you have two or more measurable variables, if one is a dependent variable and others are independent variables, it is possible through multiple regression methods.

Reply To James

By Jenita Answered 3 years ago

Hello Philips, Firstly, I will answer your second question. Here, I suggest you use two machine learning algorithms—the convolutional neural network for handling image datasets and Classical NLP or RNN for managing text datasets. In the first question, Are you implying multiple regression?

Replied 3 years ago

By Philip

First of all, Thank you for the suggestion you gave me about machine learning techniques. Yes, I am stating about multiple regression here.

Reply To Jenita

By Sara Answered 3 years ago

I agree with @Mr. James, the multiple regression method is mostly used for prediction and for understanding the causes. In case if you are looking for only cancer patient records in the database from 2018 to 2021, you can use multiple regression methods. I hope you understand the process. Thank you

Reply To Sara

By Binita Sinha Answered 3 years ago

Hi Philips, You can use XGBoost, Artificial Neural Networks, or LGBM for finding the cancer patients' records for the following period you have mentioned. Good Luck.

Reply To Binita Sinha

By amir Answered 3 years ago

Hi, Suppose you are planning to use multiple regression for predicting patients' subjective and objective information. For example, I am implying patients' blood pressure, weight, height, age, and treatment details. It becomes complicated sometimes to get accurate results. To avoid the complication, try to decide which variables you are planning to use. Moreover, try to divide important variables and unimportant variables first and better ignore the unimportant ones. All the best for your future endeavors.

Reply To amir