AI SearchDeveloping a clinical decision support system for diabetes and complication using machine learning (Record no. 28176)
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| fixed length control field | 03105nam a2200385 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260818090450.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260219s20249999th m 000 0 eng d |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b12477588 |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Thesis no.DSAI-24-01 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Krittin Janjaochay |
| 245 10 - TITLE STATEMENT | |
| Title | Developing a clinical decision support system for diabetes and complication using machine learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Pathum Thani, Thailand : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 34 leaves : |
| Other physical details | ill.+ |
| Accompanying material | 1 online resource |
| 490 1# - SERIES STATEMENT | |
| Series statement | Thesis ; |
| Volume/sequential designation | no. DSAI-24-01 |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Data Science and Artificial Intelligence |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M. Sc.) - Asian Institute of Technology, 2024 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Health Informatics |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Decision support systems |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Clinical Decision-Making |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Diabetes |
| General subdivision | Data processing |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chaklam Silpasuwanchai, |
| Relator term | Chairperson |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dailey, Matthew N., |
| Relator term | Examination Committee |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chutiporn Anutariya, |
| Relator term | Examination Committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Royal Thai Government Fellowship, |
| Relator term | Scholarship Donor |
| 810 2# - SERIES ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology. |
| Title of a work | Thesis ; |
| Volume/sequential designation | no. DSAI-24-01 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/detail.php?q=B23636">http://203.159.5.9/ait-thesis/detail.php?q=B23636</a> |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | .b12477588 |
| b | mnarc |
| c | a |
| 902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) | |
| a | 260306 |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 260305 |
| First date, FD (RLIN) | m |
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| -- | a |
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| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 67-Electronic Resource |
| 909 ## - LOCAL ITEMS USED | |
| Barcode | Barcode : - |
| CREATED | CREATED : 2026-02-19 |
| RECORD Id | RECORD # : i13574528 |
| LPATRON | LPATRON : 0 |
| LCHKIN | LCHKIN : - |
| RENEWALS | # RENEWALS : 0 |
| -- | # OVERDUE : 0 |
| -- | IUSE3 : 0 |
| -- | TOT CHKOUT : 0 |
| -- | TOT RENEW : 0 |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Date last seen | Copy number | Price effective from | Koha item type |
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| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 18/08/2026 | AIT Thesis no.DSAI-24-01 | 18/08/2026 | 1 | 18/08/2026 | 67-Electronic Resource |