Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Ratchainant Thammasudjarit"'
Autor:
Patratorn Kunakorntham, Oraluck Pattanaprateep, Charungthai Dejthevaporn, Ratchainant Thammasudjarit, Ammarin Thakkinstian
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-14 (2022)
Abstract Background and objective Rhabdomyolysis (RM) is a life-threatening adverse drug reaction in which statins are the one commonly related to RM. The study aimed to explore the association between statin used and RM or other muscular related adv
Externí odkaz:
https://doaj.org/article/4956245d90884d10897344f73757589a
Autor:
Panu Looareesuwan, Suparee Boonmanunt, Sukanya Siriyotha, Thitiya Lukkunaprasit, Ratchainant Thammasudjarit, Oraluck Pattanaprateep, Hataikarn Nimitphong, Sirimon Reutrakul, John Attia, Gareth McKay, Ammarin Thakkinstian
Publikováno v:
Informatics in Medicine Unlocked, Vol 40, Iss , Pp 101285- (2023)
Background: Diabetic retinopathy (DR) is one of the most common complications in type 2 diabetes (T2D) with an estimated prevalence of 22%. Predictive modelling has largely been dependent on Cox proportional hazards (CPH) with assumptions of linearit
Externí odkaz:
https://doaj.org/article/1f9a086457664bd78ba6bd226e7bdf62
Autor:
Wanchana Ponthongmak, Ratchainant Thammasudjarit, Gareth J McKay, John Attia, Nawanan Theera-Ampornpunt, Ammarin Thakkinstian
Publikováno v:
Informatics in Medicine Unlocked, Vol 38, Iss , Pp 101227- (2023)
Objectives: To develop an automated international classification of diseases (ICD) coding tool using natural language processing (NLP) and discharge summary texts from Thailand. Materials and methods: The development phase included 15,329 discharge s
Externí odkaz:
https://doaj.org/article/40e3abbbec02490ea16e783f300d80aa
Autor:
Worapan Kusakunniran, Punyanuch Borwarnginn, Thanandon Imaromkul, Kittinun Aukkapinyo, Kittikhun Thongkanchorn, Disathon Wattanadhirach, Sophon Mongkolluksamee, Ratchainant Thammasudjarit, Panrasee Ritthipravat, Pimchanok Tuakta, Paitoon Benjapornlert
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7de2d33f2697aa71a2789654606682a0
https://doi.org/10.1007/s11042-023-15061-1
https://doi.org/10.1007/s11042-023-15061-1
Autor:
Passara Jongkhajornpong, Amit Kumar Ghosh, Ratchainant Thammasudjarit, John Attia, Ammarin Thakkinstian
Publikováno v:
Cornea. 41:616-622
PURPOSE Microbial keratitis is an urgent condition in ophthalmology that requires prompt treatment. This study aimed to apply deep learning algorithms for rapidly discriminating between fungal keratitis (FK) and bacterial keratitis (BK). METHODS A to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec4340398146d14b11cf059d147865b3
https://doi.org/10.1097/ico.0000000000002830
https://doi.org/10.1097/ico.0000000000002830
Publikováno v:
Ramathibodi Medical Journal. 43:11-19
Background: Accurate detection and classification of lung nodules at an early stage can help physicians to improve the treatment outcomes of lung cancer. Several lung nodule classifications using deep learning have been proposed but they are lag of e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd5ce9b0005b454c9b4919f5d9ad6f46
https://doi.org/10.33165/rmj.2020.43.4.241727
https://doi.org/10.33165/rmj.2020.43.4.241727
Autor:
Sermkiat Lolak, Chaiyawat Supplasilp, Napaphat Poprom, Tunlanut Sapankaew, Myat Su Yin, Ratchainant Thammasudjarit, Gareth J. McKay, Peter Haddawy, John Attia, Ammarin Thakkinstian
BACKGROUND Machine learning is nowadays commonly used for disease prediction, including cardiovascular disease. There is growing evidence of the effectiveness of machine learning algorithms for stroke risk prediction models. OBJECTIVE A systematic re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f420106e430afd875a536c5ef1d5c87
https://doi.org/10.2196/preprints.38554
https://doi.org/10.2196/preprints.38554
Autor:
Worapan Kusakunniran, Kittinun Aukkapinyo, Punyanuch Borwarnginnn, Thanandon Imaromkul, Kittikhun Thongkanchorn, Disathon Wattanadhirach, Sophon Mongkolluksamee, Ratchainant Thammasudjarit, Panrasee Ritthipravat, Pimchanok Tuakta, Paitoon Benjapornlert
Publikováno v:
2022 14th International Conference on Knowledge and Smart Technology (KST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22b2679b7d38ed0a8fcdfe42f0003286
https://doi.org/10.1109/kst53302.2022.9729063
https://doi.org/10.1109/kst53302.2022.9729063
Assessment of temperature-dependent proteomes of Pythium insidiosum by using the SWISS-PROT database
Autor:
Theerapong Krajaejun, Onrapak Reamtong, Ratchainant Thammasudjarit, Tassanee Lohnoo, Wanta Yingyong
Publikováno v:
Medical Mycology. 57:918-921
Pythium insidiosum causes the life-threatening disease, called pythiosis. Information on microbial pathogenesis could lead to an effective method of infection control. This study aims at assessing temperature-dependent proteomes, and identifying puta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27a90bfe4512f04a295ebb557a5dc82a
https://doi.org/10.1093/mmy/myy164
https://doi.org/10.1093/mmy/myy164
Autor:
Benjaphan Sommana, Ukrit Watchareeruetai, Ankush Ganguly, Samuel W.F. Earp, Taya Kitiyakara, Suparee Boonmanunt, Ratchainant Thammasudjarit
During the SARS-Cov-2 pandemic, mask-wearing became an effective tool to prevent spreading and contracting the virus. The ability to monitor the mask-wearing rate in the population would be useful for determining public health strategies against the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff60b238f43c326470fc9e61080f21a9