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Item Metadata only A prediction of mutual fund net asset values using neural network and time series analysis(Mahidol University. Mahidol University Library and Knowledge Center, 2024) Somboon Buamongkonthip; Sotarat Thammaboosadee; Taweesak Samanchuento analyze the data to predict future net asset values. The method used for predictions is an optimized version of the Artificial Neural Network using preprocessed data in time series for the analysis, which requires a complex model. The data used were drawn... from a variety of sources before undergoing data preparation. This study selected 21 of Thailand's leading RMF funds, from which data were gathered amounting to 4,480 data points during the period from February 2, 2007, to May 29, 2020. Findings fromItem Open Access An operating model design for healthcare agile non-invasive data governance : organizational direction and departmental nursing operation approaches(Mahidol University, 2021) Tiwaporn Innun; Sotarat Thammaboosadee; Theeraya Mayakul; Smitti Darakorn Na AyuthayaThe competition for data on health organizations today is intense and leads to the essential of data management for policy planning. Just the traditional data management may not be enough. Data management within the organization must be fast... to the Agile concept. It leads to assigning the design and decision-making team to reduce the time in the approval process by focusing on close and continuous communication on the progress of the team's work, and data can be embedded in analytics poolsItem Open Access Factors influencing customer attitudes toward Tiktok advertising and future purchase intentions in the food industry(Mahidol University. Mahidol University Library and Knowledge Center, 2022) Chonnipa Mongkolcharassang; Adisorn Leelasantitham; Rojjalak Chuckpaiwongis quantitative and used an online questionnaire to gather information from 410 Thai people in the Bangkok metropolitan region who use the TikTok platform and have viewed food-related advertisements on the TikTok platform. The statistical data analysis... of this research included descriptive and inferential statistical analysis using Structural Equation Modeling (SEM). The results showed that entertainment, informativeness, and reliability factors, except for irritation factors, influenced the perceived valueItem Metadata only Stroke risk prediction model based on demographic and medical screening data(Mahidol University. Mahidol University Library and Knowledge Center, 2016) Teerapat Kansadub; Sotarat Thammaboosadee; Chutima Jalayondeja; Supaporn KiattisinNowadays, strokes are the third leading cause of Thai's mortality in all age groups. The statistical data during 1994 - 2013 found that strokes caused 255,307 mortalities. In this paper, we present the data mining model for stroke prediction....12 false positive rate, 0.25 false negative rate, and 0.9 area under ROC curve (AUC). Furthermore, the factor analysis using the best integrated data based on decision tree found that hemophilia and balance loss are the new, discovered risk factors comparedItem Open Access Classification of type ii diabetes mellitus using machine learning techniques(Mahidol University, 2022) Voratat Piromsuk; Adisorn Leelasantitham; Supaporn Kiattisinpeople with diabetes worldwide. Diabetes mellitus, if left untreated or undiagnosed, can lead to a number of other complications. This research used data from the University of California, Irvine (UCI), which is open data for testing the algorithm... study could include techniques such as advance data preparation and optimization into data analysis to improve their effectiveness, and should compare the cost of each algorithm (e.g., time) to help select the most suitable method for predicting diabetes.Item Open Access Comparisons of employee churn clustering factors based on Markov chain and Bayesian network(Mahidol University. Mahidol University Library and Knowledge Center, 2023) Isaratep Dankao; Adisorn Leelasantitham; Prush Sangangamin the organization has to share responsibility. Retention of employees is one of the crucial strategies to manage an organization and to retain employees in an organization. This leads to the emergence of the question: "Are there any effective strategies to attract.... IMPLICATION OF THE THEMATIC PAPER: The main implication of this study is to provide a churn problem model for analysis. As a result, the Markov chain could define the average amount of retention for each cluster and create scenarios with a Bayesian networkItem Open Access Cyberbullying identification and classification using transformer models(Mahidol University, 2023) Wachiraporn Tapaopong; Taweesak Samanchuen; Prush Sangangamthe identification and analysis of cyberbullying in hazardous social media messages. To achieve this goal, we utilized the transfer learning and fine-tuning techniques with the Transformer models, specifically BERT, RoBERTa, ALBERT, DistilBERT, and Conv... and address instances of cyberbullying, ultimately leading to a more secure and encouraging online environment for all users. Furthermore, the use of Transformer models for cyberbullying detection could also have broader implications for the fields of naturalItem Open Access Stem talent, a game changer in the organizational digital transformation(Mahidol University, 2023) Piyawat Jriyasetapong; Smitti Darakorn Na Ayuthaya; Supaporn Kiattisin; Theeraya MayakulThe fourth industrial revolution's VUCA (volatility, uncertainty, complexity, and ambiguity) emphasizes the importance of digital technology, robotics, and biological technology, which leads to changes in techno-socio economy, and organization..., followed by a series of expert interviews. A total of 410 employees from two organizations in Thailand and Laos with digital transformation programs were involved in the survey. Confirmatory factor analysis (CFA) was employed to verify the factor structureItem Open Access Geospatial data science in increasing electric utility sustainabilitystability(Mahidol University, 2023) Thanaporn Thitisawat; Smitti Darakorn Na Ayuthaya; Supaporn Kiattisin; Theeraya Mayakul. These factors were confirmed by using structural equation modelling (SEM). Finally, logistic regression and RF regression analysis were applied to compare the effectiveness of predictive models for equipment failures. The outcomes showed that RF regression... of equipment depending on the installation location. This study will lead to more effectiveness and efficiency in preventive maintenance planning as engineers can maintain or replace equipment before its failure. Thus, reducing power outage frequency