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Item Metadata only Development of statistic package for Generalize Linear Model(Mahidol University. Mahidol University Library and Knowledge Center, 2003) Wanlop Jaidee; Junya PattaraarchachaiPublication Metadata only AnkPlex: Algorithmic structure for refinement of near-native ankyrin-protein docking(2017-04-19) Tanchanok Wisitponchai; Watshara Shoombuatong; Vannajan Sanghiran Lee; Kuntida Kitidee; Chatchai Tayapiwatana; Chiang Mai University; Mahidol University; Commission on Higher Education; University of Malaya© 2017 The Author(s). Background: Computational analysis of protein-protein interaction provided the crucial information to increase the binding affinity without a change in basic conformation. Several docking programs were used to predict the near... the near-native pose of ankyrin-protein complexes (APKs) have not been reported yet. Results: In this study, we established an ensemble computational model for discriminating the near-native docking pose of APKs named "AnkPlex". A dataset of APKsItem Metadata only Combining Early Ischemic Change and Collateral Extent for Functional Outcomes after Endovascular Therapy: An Analysis from AcT Trial(2024-07-01) Tanaka K.; Kaveeta C.; Pensato U.; Zhang J.; Bala F.; Alhabli I.; Horn M.; Ademola A.; Almekhlafi M.; Ganesh A.; Buck B.; Tkach A.; Catanese L.; Dowlatshahi D.; Shankar J.; Poppe A.Y.; Shamy M.; Qiu W.; Swartz R.H.; Hill M.D.; Sajobi T.T.; Menon B.K.; Demchuk A.M.; Singh N.; Tanaka K.; Mahidol UniversityBACKGROUND: Early ischemic change and collateral extent are colinear with ischemic core volume (ICV). We investigated the relationship between a combined score using the Alberta Stroke Program Early Computed Tomography Score and multiphase computed... to Tenecteplase trial which was conducted between December 2019 and January 2022 at 22 centers across Canada. Ten-point mCTA collateral corresponding to M2 to M6 regions of the Alberta Stroke Program Early Computed Tomography Score grid was evaluated as 0 (poorItem Metadata only Consequences of crime reduction from improving physical environment(Mahidol University. Mahidol University Library and Knowledge Center, 2023) Chanathit Kaewumporn; Suriyapong Watanasak; Opart Panya; Kulvadee Kansuntisukmongkol. The research method used was Structural Equation Modeling (S.E.M), computed using the Analysis of Moment Structure (AMOS) software, Version 6. Modeling was conducted on three groups in community: 1) Neutral Group (no program entry), 2) Selected Group (complete... program entry) and 3) Test Group (moderate program entry). Each group was divided in two subgroups (separated by two time periods), giving a total of six model comparisons and 416 informants. The most perfect model was then selected for analysis throughItem Metadata only Multiphase CTA Collateral Circulation is an Excellent CT Indicator than CT ASPECTS in Predicting Clinical Outcome in Acute Ischemic Stroke(2025-07-01) Chiewvit P.; Ampornjarut P.; Nilanont Y.; Ngamsombat C.; Chiewvit P.; Mahidol Universityas good with mRS 0 to 2, or poor with mRS 3 to 6. Both univariate and multiple linear regression models were employed to predict patient outcomes. Results: Univariate analysis demonstrated a significant association between both the collateral score...Objective: The prognosis of acute ischemic stroke patients is influenced by collateral vasculature. The present study aimed to evaluate the predictive value of the initial collateral circulation score (ICS) obtained from multiphase computedPublication Open Access Correlation between Transcutaneous Bilirubinometry and Measurement by Digital Photographic Yellow Level among Neonates(2019) Sophaphan Ploungbunmee; Somsak Suthatvoravut; Mahidol University. Faculty of Medicine, Ramathibodi Hospital. Department of Obstetrics and Gynecologyanalyzed using Photoshop computer program to determine the yellowish level of neonatal skin. The results of three methods were compared. Regression equation for the correlation between SMB and DPYL was SMB = 6.073 + 0.191(DPYL) mg/dL with R2 = 0....766, (p < 0.05). The regression equation for the correlation between TCB and DPYL was TCB = 5.414+0.22 (DPYL) mg/dL with R2= 0.935, (p < 0.05). The results of DPYL could be used as a screening test for neonatal jaundice especially in locationsItem Metadata only Determinants of childhood overweight in Thailand and their effects on high blood pressure(Mahidol University. Mahidol University Library and Knowledge Center, 2023) Sawanya Siriphakhamongkhon; Yothin Sawangdee; Umaporn Pattarvanich; Aroonsri Mongkolchatithan 1 hour on the computer for learning and watching TV at least 2 hours per day posed the greatest risk of overweight/obese for a single school-age child. In addition, the logistic regression analysis found that obese and overweight children age from... Health Examination Survey (NHES IV) 2008-2009. The study found that more than one-half of the sample were living in municipal areas and there were equal proportions of girls and boys in the sample and the mean age was 9 years. The ordered regressionPublication Open Access Big Data Analytics in Healthcare(2018) Ratchainant Thammasudjarit; Anuchate Pattanateepon; Oraluck Pattanaprateep; รัตน์ชัยนันท์ ธรรมสุจริต; อนุตเชษฐ์ พัฒนธีร์ปพน; อรลักษณ์ พัฒนาประทีป; Mahidol University. Faculty of Medicine Ramathibodi Hospital. Section for Clinical Epidemiology and Biostatistics. This article is therefore aimed to introduce type of data analytics, machine learning, statistics, and data mining which contribute to healthcare big data analysis. The article should be useful for healthcare professionals who are new to this field.Publication Open Access How do non genetic factors affect overweight children in Bangkok?(2010-01) Narisara Peungposop; Kua Wongboonsin; Kost, Gerald J.; Mahidol University. Institute for Population and Social ResearchPublication Open Access Factors influencing sexual behaviors among Thai adolescents(2017-06) Sitanan Srijaiwong; Siriorn Sindhu; Ameporn Ratinthorn; Chukiat Viwatwongkasem; Mahidol University. Faculty of Nursing; Mahidol University. Faculty of Public Healthby using web-based questionnaires. The participants were 3,192 Thai adolescents ages 15-19 and studying at secondary and vocational schools. Data were analyzed by using multinomial logistic regression analysis and multilevel regression analysis. Among all...This cross-sectional analysis examines the factors influencing sexual behaviors, no-sex experience, safe sexual behaviors and unsafe sexual behaviors among adolescents, and the degree of sexual risk behaviors among sexually experienced adolescents