@inproceedings{497ceafa46a6404cb2701ab5c2871c1a,
title = "Covid Symptom Severity Using Decision Tree",
abstract = "Corona is a very contagious virus. In a pandemic like this, people often worry whether they are infected or not. When they cough, they often worry whether it is a sign of covid-19 or an ordinary cough. From the clinical symptoms can actually be known whether someone has Covid or not. In thisstudy, a clinical symptom dataset will be used to classify the symptoms using a Decision Tree algorithm. The decision trees used in this research are J48 and Hoeffding Tree. Decision Tree is one of the most popular classification methods because it is easy to interpret by Humans. the prediction model uses a hierarchical structure. The concept is to convert data into decision trees or decision rules. the result of J48 were slightly better than the Hoeffding tree in terms of accuracy, precision, and recall. Meanwhile, from the tree view results, the Hoeffding Tree is simpler and the numberof nodes is less than J48.",
keywords = "corona, corona, covid, covid-19, decision rules, decision tree, prediction, symptoms",
author = "Naim Rochmawati and Hidayati, {Hanik Badriyah} and Yuni Yamasari and Wiyli Yustanti and Lusia Rakhmawati and Tjahyaningtijas, {Hapsari P.A.} and Yeni Anistyasari",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 3rd International Conference on Vocational Education and Electrical Engineering, ICVEE 2020 ; Conference date: 03-10-2020 Through 04-10-2020",
year = "2020",
month = oct,
day = "3",
doi = "10.1109/ICVEE50212.2020.9243246",
language = "English",
series = "Proceeding - 2020 3rd International Conference on Vocational Education and Electrical Engineering: Strengthening the framework of Society 5.0 through Innovations in Education, Electrical, Engineering and Informatics Engineering, ICVEE 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceeding - 2020 3rd International Conference on Vocational Education and Electrical Engineering",
address = "United States",
}