TY  - BOOK
AU  - Krittin Janjaochay
AU  - Chaklam Silpasuwanchai,
AU  - Dailey,Matthew N.
AU  - Chutiporn Anutariya,
ED  - Royal Thai Government Fellowship,
TI  - Developing a clinical decision support system for diabetes and complication using machine learning
T2  - Thesis
PY  - 2024///
CY  - Pathum Thani, Thailand
PB  - Asian Institute of Technology
KW  - Health Informatics
KW  - Decision support systems
KW  - Clinical Decision-Making
KW  - Diabetes
KW  - Data processing
N1  - A thesis submitted in partial fulfillment of the requirements for the  degree of Master of Science in Data Science and Artificial Intelligence; Thesis (M. Sc.) - Asian Institute of Technology, 2024
N2  - Diabetes care calls both medical knowledge and the interpretation of several laboratory test  findings. But in hospital systems, medical records often just show lab findings, which require  additional evaluation by physicians. A system with an organized dashboard with analysis  results, tracking, and notification functions will improve the accuracy and time of medical management. This paper creates a diabetes clinical decision support system. The CDSS  analyzed and displayed lab results in a dashboard which allows quick interpretation from the  user. Based on the clinical observations of doctors, clinical data collection offers many levels  of indicators. The features were chosen using the feature significance selection procedure  and previous work. The models were selected from the best of related work. The results  of the experiment show that an applied dataset with the suggested feature selections gives  an accuracy of 89% via using a Support Vector Machine (SVM) model in comparison to  Random Forest, Decision Tree, K-Nearest neighbors, and Logistic regression classifiers.The dashboard was designed to show analyzed data with color-code which represents the  control risk. The design of the system was co-created from experiments, interviews, and  evaluations with doctors. All functions combine into the system with input, prediction, and  display features using the Microsoft service environment mainly in Microsoft Power Apps
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B23636
ER  -