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  2. Volume 7, Issue 4
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Online ISSN: 2515-8260

Volume7, Issue4

Symptoms Based Disease Prediction Using Decision Tree and Electronic Health Record Analysis

    S Radhika S Ramiya Shree V Rukhmani Divyadharsini A Ranjitha

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2060-2066

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Abstract

In 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.
Keywords:
    decision tree Physiological measurements EHR (Electronic Health Records) NLP (Natural Language Processing) NLTK(Natural Language Toolkit)
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(2020). Symptoms Based Disease Prediction Using Decision Tree and Electronic Health Record Analysis. European Journal of Molecular & Clinical Medicine, 7(4), 2060-2066.
S Radhika; S Ramiya Shree; V Rukhmani Divyadharsini; A Ranjitha. "Symptoms Based Disease Prediction Using Decision Tree and Electronic Health Record Analysis". European Journal of Molecular & Clinical Medicine, 7, 4, 2020, 2060-2066.
(2020). 'Symptoms Based Disease Prediction Using Decision Tree and Electronic Health Record Analysis', European Journal of Molecular & Clinical Medicine, 7(4), pp. 2060-2066.
Symptoms Based Disease Prediction Using Decision Tree and Electronic Health Record Analysis. European Journal of Molecular & Clinical Medicine, 2020; 7(4): 2060-2066.
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