In this research work, the E-Health monitoring system has
been developed using fifteen health
indicators. These fifteen features were selected by
following a Recursive Feature Elimination with
Cross-Validation method. The dataset was labeled as per
medical limits and segregated into three
classes (normal, borderline and onset of unhealthy
state). A rigorous process was followed at each
step to find out which linear estimator and model is
suitable for classifying health condition of persons.
Five regression estimators were evaluated and it was
found that logistic regression and linear
discriminant analysis methods are providing highest
accuracy and lowest error for classifying three
health states of a patient.
Author(s) Details
Amandeep Kaur
Department of Computer Science and Engineering, Ikgptu Kapurthala, Punjab,
India.
Anuj Kumar Gupta
Department
of Computer Science and Engineering, CGC, Landran, Punjab, India.
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