Symptoms Based Disease Prediction Using Decision Tree and Electronic Health Record Analysis
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 4, Pages 2060-2066
AbstractIn this paper, we seek to predict user’s diseases based on their symptoms. To achieve our target, we use the Decision Tree Classifier which helps to detect the patient’s health condition after receiving their symptoms by giving the predicted disease. The dataset contains physiological measurements with 40 instances(Diseases) and 132 attributes(Symptoms). Additionally, the respective patient’s EHR is also collected for summarizing the prescription/test report using NLTK.
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