The experiments were performed on educational data including study results of the undergraduate students enrolled in 2005 2008 following the program in Computer Science in the academic credit system at Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Vietnam, [3].
Information on these children was obtained in compliance with all applicable regulations for the protection of human health and educational data, including approval by institutional review boards in each ADDM region.
Demographic information was also available on age, sex, ethnicity, place of residence, parental occupation, and parental education, and the educational data included the subject and grade of all A levels and AS levels taken, as well as the standard UCAS tariff score (see below).
Clarification of the effectiveness to achieve this goal is particularly needed for interventions aiming at improved working conditions during data entry, at optimised in-house management of the data including educational efforts addressing the use of the data and feedback about results, and at modifying negative attitudes of staff members regarding the relevance of quality data.
Introductory questions asked for basic personal data, including age, educational level, current occupation, and the nature of their work in HCs.
Other data including age, educational level, menopause age, medications and history of illness were also collected.
Demographics and clinical data, including marital, educational, working status, visual acuity and comorbidity for the participants are presented in Table 1.
Baseline clinical data, including age, educational level, Clinical Dementia Rating (CDR), Taiwanese Mental State Examination (TMSE), and visual scoring for MTA and WMH were tested as possible predictive factors that influence the survival from a TMSE decline of at least 3 points.
The variable was created from a principle component analysis of census block group-level data, including median educational attainment, median household income, proportion below 200% of the federal poverty level, median house value, median rent, percent employed, and proportion of the population with blue-collar employment.
Demographic data, including age, gender, educational level, current occupation, marital status, and number of people in the household will be recorded at baseline.
Second, the records contain standard demographic data including age, sex, educational, employment and marital status, family history of illness and the individual's prior mental or physical illness.
