Abstract ▼ AI-Helper

The problem of an aging society is deepening. As the proportion of patients suffering from aging diseases such as cancer and dementia or chronic diseases such as diabetes
and high blood pressure increases, the economic burden that arises falls on society in its
way to society. Precision medi...

The problem of an aging society is deepening. As the proportion of patients suffering from aging diseases such as cancer and dementia or chronic diseases such as diabetes
and high blood pressure increases, the economic burden that arises falls on society in its
way to society. Precision medical care can be effectively incorporated into proactive prevention and ongoing management, which are key to the resolution of these diseases.
Dynamic Treatment Regims:DTRs means the most effective treatment system when reflecting patient diagnostic information. DTRs have been actively researched over the
a past decade as a field of precision medicine statistics and machine learning. However,
because the decision point in the treatment system was repeated and there were multiple
treatment options at each point, the decision model was not well suited to the data as the
decision phase progressed.
In this paper, in order to improve the problem, robust q-learning algorithm was incorporated into the DTRs. Accordingly, the probability of finding the optimal medical care
system could be increased even if the model was not correctly adapted to the data characteristics. It also identified a high accuracy rate and low error rates at each decision-making stage. It was shown to be an excellent method of improving algorithms in the
estimation of the optimal decision-making system and in the selection of variables at
each decision step.

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