Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Siriwan Suebnukarn"'
Autor:
Rachasak Somyanonthanakul, Kritsasith Warin, Sitthi Chaowchuen, Suthin Jinaporntham, Wararit Panichkitkosolkul, Siriwan Suebnukarn
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Oral cancer is a deadly disease and a major cause of morbidity and mortality worldwide. The purpose of this study was to develop a fuzzy deep learning (FDL)-based model to estimate the survival time based on clinicopathologic data
Externí odkaz:
https://doaj.org/article/ada3545a991b4d56afba8d44ca80b8a6
Autor:
Kritsasith Warin, Siriwan Suebnukarn
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-21 (2024)
Abstract Background Oral cancer is a life-threatening malignancy, which affects the survival rate and quality of life of patients. The aim of this systematic review was to review deep learning (DL) studies in the diagnosis and prognostic prediction o
Externí odkaz:
https://doaj.org/article/66009241a61f428f934b84c78773aafd
Autor:
Kritsasith Warin, Wasit Limprasert, Siriwan Suebnukarn, Teerawat Paipongna, Patcharapon Jantana, Sothana Vicharueang
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract The purpose of this study was to evaluate the performance of convolutional neural network-based models for the detection and classification of maxillofacial fractures in computed tomography (CT) maxillofacial bone window images. A total of 3
Externí odkaz:
https://doaj.org/article/3815e65ee76f4c74a690bb281808ecb2
Publikováno v:
Healthcare Informatics Research, Vol 29, Iss 1, Pp 23-30 (2023)
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 considered in a therapeutic plan includes not only the patien
Externí odkaz:
https://doaj.org/article/429233c2f9b04907a7b495d7dc721dc9
Autor:
Rachasak Somyanonthanakul, Kritsasith Warin, Watchara Amasiri, Karicha Mairiang, Chatchai Mingmalairak, Wararit Panichkitkosolkul, Krittin Silanun, Thanaruk Theeramunkong, Surapon Nitikraipot, Siriwan Suebnukarn
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-18 (2022)
Abstracts Background The aim of this study was to evaluate the most effective combination of autoregressive integrated moving average (ARIMA), a time series model, and association rule mining (ARM) techniques to identify meaningful prognostic factors
Externí odkaz:
https://doaj.org/article/9ac0759d2e1041baba75c40553d230e1
Autor:
Wiwiek Poedjiastoeti, Aryadi Subrata, Indrayadi Gunardi, Aristya Julianto Sidharta, Siriwan Suebnukarn
Publikováno v:
Scientific Dental Journal, Vol 6, Iss 3, Pp 129-134 (2022)
Background: Cardiovascular disease is one of the main causes of death worldwide. Basic life support (BLS) actions such as adequate cardiopulmonary resuscitation (CPR) and the provision of an automated external defibrillator (AED) may handle such a me
Externí odkaz:
https://doaj.org/article/16129d5d835a4d718d9fbebb1c022ffa
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0291389 (2023)
Recent years have seen the proliferation of VR-based dental simulators using a wide variety of different VR configurations with varying degrees of realism. Important aspects distinguishing VR hardware configurations are 3D stereoscopic rendering and
Externí odkaz:
https://doaj.org/article/c227d5554f5749598bbab47de51be061
Autor:
Kritsasith Warin, Wasit Limprasert, Siriwan Suebnukarn, Suthin Jinaporntham, Patcharapon Jantana, Sothana Vicharueang
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0273508 (2022)
Artificial intelligence (AI) applications in oncology have been developed rapidly with reported successes in recent years. This work aims to evaluate the performance of deep convolutional neural network (CNN) algorithms for the classification and det
Externí odkaz:
https://doaj.org/article/e53c01acf8104c0da9ae18fff47f940a
Publikováno v:
Healthcare Informatics Research, Vol 24, Iss 3, Pp 236-241 (2018)
ObjectivesAmeloblastomas and keratocystic odontogenic tumors (KCOTs) are important odontogenic tumors of the jaw. While their radiological findings are similar, the behaviors of these two types of tumors are different. Precise preoperative diagnosis
Externí odkaz:
https://doaj.org/article/c8c87af0a4f44d58adc89e12ffea8628
Publikováno v:
Healthcare Informatics Research, Vol 23, Iss 4, Pp 255-261 (2017)
ObjectivesThe 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 patients.MethodsWe used the information from the datasets of 30 bruxism pat
Externí odkaz:
https://doaj.org/article/d6a2a374ec294de4b3a889d771c2be8b