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| 099 | 9 | _aAIT Thesis no.DSAI-24-01 | |
| 100 | 1 | _aKrittin Janjaochay | |
| 245 | 1 | 0 | _aDeveloping a clinical decision support system for diabetes and complication using machine learning |
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_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2024 |
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_a34 leaves : _bill.+ _e1 online resource |
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| 490 | 1 |
_aThesis ; _vno. DSAI-24-01 |
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| 500 | _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Data Science and Artificial Intelligence | ||
| 502 | _aThesis (M. Sc.) - Asian Institute of Technology, 2024 | ||
| 520 | _aDiabetes 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. | ||
| 650 | 0 | _aHealth Informatics | |
| 650 | 0 | _aDecision support systems | |
| 650 | 0 | _aClinical Decision-Making | |
| 650 | 0 |
_aDiabetes _xData processing |
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| 700 | 0 |
_aChaklam Silpasuwanchai, _eChairperson |
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| 700 | 1 |
_aDailey, Matthew N., _eExamination Committee |
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| 700 | 0 |
_aChutiporn Anutariya, _eExamination Committee |
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| 710 | 2 |
_aRoyal Thai Government Fellowship, _eScholarship Donor |
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| 810 | 2 |
_aAsian Institute of Technology. _tThesis ; _vno. DSAI-24-01 |
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| 856 | 4 | 0 |
_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B23636 |
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