- Bayesian-Based Decision Support System for Assessing the Needs for Orthodontic Treatment
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Thanathornwong B
- KMID: 2403292
- Healthc Inform Res.
- 2018 Jan;24(1):22-28.
- doi: 10.4258/hir.2018.24.1.22
OBJECTIVES: In this study, a clinical decision support system was developed to help general practitioners assess the need for orthodontic treatment in patients with permanent dentition. METHODS: We chose a Bayesian... -
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- Application of a Multi-Layer Perceptron in Preoperative Screening for Orthognathic Surgery
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Chaiprasittikul N, Thanathornwong B, Pornprasertsuk-Damrongsri S, Raocharernporn S, Maponthong S, Manopatanakul S
- KMID: 2539394
- Healthc Inform Res.
- 2023 Jan;29(1):16-22.
- doi: 10.4258/hir.2023.29.1.16
Objectives: Orthognathic surgery is used to treat moderate to severe occlusal discrepancies. Examinations and measurements for preoperative screening are essential procedures. A careful analysis is needed to decide whether cases... -
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- Clinical Decision Support System for Geriatric Dental Treatment Using a Bayesian Network and a Convolutional Neural Network
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Thanathornwong B, Suebnukarn S, Ouivirach K
- KMID: 2539395
- Healthc Inform Res.
- 2023 Jan;29(1):23-30.
- doi: 10.4258/hir.2023.29.1.23
Objectives: The aim of this study was to evaluate the performance of a clinical decision support system (CDSS) for therapeutic plans in geriatric dentistry. The information that needs to be... -
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- Clinical Decision Support Model to Predict Occlusal Force in Bruxism Patients
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Thanathornwong B, Suebnukarn S
- KMID: 2396416
- Healthc Inform Res.
- 2017 Oct;23(4):255-261.
- doi: 10.4258/hir.2017.23.4.255
OBJECTIVES: The aim of this study was to develop a decision support model for the prediction of occlusal force from the size and color of articulating paper markings in bruxism... -
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- Automatic detection of periodontal compromised teeth in digital panoramic radiographs using faster regional convolutional neural networks
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Thanathornwong B, Suebnukarn S
- KMID: 2506014
- Imaging Sci Dent.
- 2020 Jun;50(2):169-174.
- doi: 10.5624/isd.2020.50.2.169
Purpose:Periodontal disease causes tooth loss and is associated with cardiovascular diseases, diabetes, and rheumatoid arthritis. The present study proposes using a deep learning-based object detection method to identify periodontally compromised... -
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