dc.description.abstract |
Nowadays mental health problems are increasing day by day. Among many mental
health issues obsessive compulsive disorder is very common in this modern era.
According to research out of 100 people 3 people have obsessive compulsive
disorder. Though medical science has become so advanced but still today we are not
that conscious about our mental health issues. People think that obsessive
compulsive disorder is only about cleaning habits and it will be ok after a certain
time. Obsessive compulsive disorder is not only a cleaning habit and it's about a lot
of mental issues that a normal person who doesn’t have obsessive compulsive
disorder cant even relate to. People having obsessive compulsive disorder also don’t
know which level of their disease they are currently. As like other physical health
diseases mental health disease also has some state of condition like ( primary, mid,
higher or extreme). “Prediction of current status of obsessive compulsive disorder “
system based on predictive modeling predicts the disease of the user on the basis of
the symptoms that the user provides as an input to the system. The system analyzes
the symptoms provided by the user as input and gives the probability of the current
status of obsessive compulsive disorder as an output. “prediction of current status of
obsessive compulsive disorder “ is done by implementing many techniques such as
Naïve Bayes, KNN, Decision Tree, Linear Regression and Random Forest
Algorithms etc . These techniques calculate the probability current status of the
disease. Therefore, average prediction accuracy probability 53% is obtained. |
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