Data Scientist || Ex-Impetus
Ecole Polytechnique fédérale de Lausanne
Doctor of Philosophy (Ph.D.), Brain-Computer Interface
Indian Institute of Technology, Kharagpur
B.Tech, Electrical Engineering
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All Sessions by Mohit Kumar Goel
Day 2
February 12, 2021
16:05
A Noninvasive model to detect Dengue based on symptoms using Artificial Intelligence and Machine Learning
16:05 - 16:25
The role of AI in healthcare will have an impact
in all our lives owing to the change it brings to the Patientcare
system, changing the traditional way of handling illness and
diseases. Most of the AI based applications use Machine
Learning algorithms that use data. Hence the source of Data
and the nature of Data holds the key in developing effective AI
based solutions for many health issues in the society. Though
Data is available in all the hospitals and medical care facilities
for many years now. They cannot be used directly to develop AI
based applications until and unless they are transformed and
made it into a format, on which machine learning algorithms
can work. In this research paper, we discuss the process of
developing an AI based application to predict Dengue, one of the
vector borne diseases based on the symptoms. Our work was
done on the data collected from the clinical notes of a 1500 bed
hospital in the coastal district of Karnataka. We have
implemented few of the machine algorithms like Logistic
regression, Support vector machine and Decision Tree classifier.
As the dataset is highly imbalanced (1:50), we applied over
sampling techniques (Random over sampling, SMOTE) to
overcome this problem. We compared the over sampling
techniques and find that combination of SMOTE and Decision
Tree classifier gave the best result (98% F1 micro score)
compared to the other algorithms that we used in thisstudy.