A decision tree to predict the effects of insomnia
- VernacularTitle:Нойргүйдлийн үр нөлөөг урьдчилан тооцоолох шийдвэрийн мод
- Author:
Bayarmaa Dorjdagva
1
;
Khulan Gansukh
1
;
Sumiyabazar Gansukh
1
;
Khishigtogtokh Manlai
2
;
Ganbat Tsend
2
Author Information
1. Mongolian University of Pharmaceutical Sciences
2. Otgontenger University
- Publication Type:Journal Article
- Keywords:
Insomnia;
decision tree;
machine training;
training data
- From:
Mongolian Pharmacy and Pharmacology
2025;26(1):40-43
- CountryMongolia
- Language:Mongolian
-
Abstract:
Researchers and scientists are developing practical clinical recommendations for behavioral and
psychological treatments of chronic insomnia in adults. This also aims to create one of these
recommendations.
To calculate the effects of insomnia, the research method used a decision tree based on the results
of 10 questionnaires from 43 people suffering from insomnia who are patients at “Enerel” hospital in
Bayanzurkh district. The study focused solely on individuals with insomnia, it serves as a decision
tree to assist those experiencing insomnia-Indiviuals-Individual who do not have insomnia were
excluded from the study.
Method: We used a questionnaire method in this study.
Conclusion: All questionnaires pertain to the effects of insomnia when constructing a decision tree
to produce insomnia effects as training data from 43 data points with 10 characteristics. It can be
concluded with an average of five questions. If the training data is enhanced, it will get closer to
reality. The decision tree will assist doctors and nurses in estimating, advising, and preventing the
consequences of insomnia.
In the next phase, a survey will be conducted with individuals who have insomnia and those who
have insomnia and those who do not, and an expanded decision tree will be developed.
- Full text:2025051317171305540MPPJ-2025-26(1)-40-43.pdf
