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Item 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 Kiattisin.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 Metadata only Descriptive and predictive behaviors analytics of the elderly that are likely to result in NCDs(Mahidol University, 2023) Jeeranun Rattanapornmongkol; Rojjalak Chuckpaiwong; Sotarat ThammaboosadeeNon-communicable diseases (NCDs) have a high number of cases and fatalities. Lifestyle habits or behaviors are all factors that cause non-communicable diseases, such as drinking alcohol, smoking, or a lack of exercise, inadequate rest, etc. As a...,999 records. Implication of the thematic paper: According to the result, age, drinking alcohol, and exercise are factors influencing disease, with deep learning identified as the most suitable algorithm. The relationship between non-communicable diseasesItem Open Access Factors influencing peer-to-peer lending adoption in Thailand : lender-centric study(Mahidol University, 2023) Natnara Chulawate; Supaporn Kiattisin; Adisorn Leelasantitham; Theeraya Mayakulof success in three contexts with 13 factors; namely, the risk context consists of a higher interest rate, an increase in inflation, macroeconomics, regulation laws, and legal, liquidity, and finance and credit status. The trust context includes demographic... by trust, risks, and information perspectives that are factors that lenders make lending decisions in the P2P lending platform.Item Metadata only Combination of environmental and economical factors in coronary heart disease prevalence identification(Mahidol University. Mahidol University Library and Knowledge Center, 2024) Chatnarong Fukprapi; Sutarat Thammaboosadee; Supaporn Kiattisin; Somkiat WattanasirichaigoonWorld Health Organization (WHO) reports that coronary heart disease (CHD), one of the non-communicable diseases (NCD), is the leading cause of death around the world. The main risk factors are mostly medical factors such as hypertension, diabetes... and physical inactivity. This research proposed new additional factors including economic and environmental factors to create a predictive model of coronary heart disease in global aspect using data mining process. The based medical risk factors and new blendedItem Metadata only A breast cancer risk prediction model based on non-cancer drugs use data(Mahidol University. Mahidol University Library and Knowledge Center, 2018) Sudasiri Sriwiang; Sotarat Thammaboosadee; Somkiat Wattanasirichaigoon; Oraluck PattanaprateepBreast cancer is a common cancer that is the leading cause of death in women. Prediction model of breast cancer risk factors also cannot build a model with high accuracy and high precision. Drug use is considered to be another factor that shouldItem Open Access Algorithmic trading cryptocurrency risk control(Mahidol University. Mahidol University Library and Knowledge Center, 2023) Siwakorn Sittichaiyaporn; Sotarat Thammaboosadee; Rojjalak Chuckpaiwongpractices are appropriate, and APO12 – Manage Risk, to consider risk factors and calculate residual risk. The guideline is output for developing software. Implication of the Thematic Paper: The viewpoint of the research suggests the guideline to prevent...Algorithmic trading was interesting for the cryptocurrency market because it can work 24/7. This research employed a framework of expert knowledge used for the integrated trade risk assessment process. The researcher reviewed the related literatureItem Open Access An implementation of tax evasion detection using risk criteria(Mahidol University, 2022) Sirima Tongruen; Taweesak Samanchuen; Supaporn Kiattisinand expeditious. This study found that the developed system can accurately calculate the risk criteria and weighted average including creating choices based on the factors that users are interested in. This can help the officials to decide on the selection... behavior by using “risk criteria” to examine the present process and develop the system by using a tool from business intelligence to assist officials in the selection decision of potential tax evaders in conducting an in-depth audit, thoroughItem Open Access A credit scoring model for secure lending based on prospect theory(Mahidol University, 2022) Peeraphol Naothaworn; Adisorn Leelasantitham; Supaporn KiattisinCredit scoring model is used to determine if a borrower is suitable for a loan or the level of loan risk. However, the current evaluation is carried out in multiple stages, using a large number of documents and time. The purpose of this study... for reliable verification. Assisting with the analysis of numerous loan factors is also included.Item Metadata only An application of GIS for analyzing suitable area for flood disaster shelter in Nakornpathom province, Thailand(Mahidol University. Mahidol University Library and Knowledge Center, 2015) Wongsakorn Tongsalee; Supaporn Kiattisin; Adisorn Leelasantitham; Bunlur EmaruchiThis thesis aims to evaluate potential areas of Nakornpathom to find suitable areas for the establishment of a flood disaster shelter. By studying the topography and the risk of flooding in the area, with the data from trusted public and government... agencies, participate in the analysis, together with the five selected criteria taken from the Disaster Prevention and Mitigation officer, including the flood risk, the flood record, the slope, the distance from the main road, and the population densityItem Open Access The design of electronic mobile application for medication reconciliation in Thailand(Mahidol University, 2023) Kesinee Augkahatsee; Rojjalak Chuckpaiwong; Theeraya MayakulMedication errors pose significant risks within the medical process, encompassing various stages such as prescription, transcription, dispensation, monitoring, and medication information management, ultimately impacting patient care. Implementing... data, comparing and validating information, and transmitting it accurately across healthcare departments. This research focuses on investigating the factors and reasons contributing to the limited interest in utilizing mobile health applications