6 research outputs found

    Performance Analysis of a Scalable Naïve Bayes Classifier on MapReduce and Beyond MapReduce

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    Many real world areas from different sourcesgenerate the big data with large volume of highvelocity, complex and variable data. Big databecomes a challenge when they are difficult toprocess and extract knowledge using traditionalanalysis tools. Therefore the scalable machinelearning algorithms are needed for processing suchbig data. Recently Hadoop MapReduce frameworkhas been adapted for parallel computing. MapReducemay not fit for most of the real world dataapplications. For large scale machine learning ondistributed system, Spark has finally become muchmore viable beyond MapReduce. Although both ofthese frameworks are Apache-hosted data analyticframework, their performance varies significantlybased on the use case under their implementation.This paper aims to analyze the performance ofscalable Naïve Bayes classifier (SNB) which isimplemented on MapReduce and Beyond MapReduceover different real world datasets. The comparisonresults show that SNB on Beyond MapReduceprovides minimal processing time than SNB onMapReduce for efficiently big data classification

    Cognitive impairment and its risk factors among Myanmar elderly using the Revised Hasegawa's Dementia Scale: A cross-sectional study in Nay Pyi Taw, Myanmar.

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    BackgroundGlobally, elderly population with impaired cognitive function, such as dementia, has been accelerating, and Myanmar is no exception. However, cognitive function among elderly in Myanmar has rarely been assessed. This study aimed to identify the rate of cognitive impairment and its risk factors among the elderly in Myanmar.MethodsThis cross-sectional study was conducted at rural health centers in Nay Pyi Taw Union Territory, Myanmar, from December 2018 to January 2019. In total, 757 elderly individuals aged 60 years or over (males: 246 [32.5%], females: 511 [67.5%]) were interviewed using a face-to-face method with a pre-tested questionnaire. Descriptive statistics and multivariable logistic regression analyses were performed.ResultsThe rate of impaired cognitive function among participants was 29.9% (males: 23.6%; females: 32.9%). The following participants were more likely to present cognitive impairment: those aged 70-79 years (adjusted odds ratio [AOR] = 1.8; 95% confidence interval [CI]: 1.19-2.70) and 80 years or older (AOR = 3.9; 95% CI: 2.25-6.76); those who were illiterate (AOR = 9.1; 95% CI: 3.82-21.51); and those dependent on family members (AOR = 1.6; 95% CI: 1.04-2.44). The elderly livening with their families and those who reported having good health (AOR = 0.7; 95% CI: 0.44-0.99) were less likely to have cognitive impairment.ConclusionUsing the HDS-R Myanmar version, this study reported that there out of five elderly participants had cognitive impairment, and its risk factors, altering policy makers that Myanmar needs to prepare for adequate healthcare services and social support for elderly with cognitive impairment. Future research should be performed not only to detect general cognitive impairment but also to differentiate specific cognitive domains impairments among Myanmar elderly. Longitudinal studies are needed to observe the causal and protective factors associated with cognitive impairments in Myanmar

    Myanmar language version of the Revised Hasegawa’s Dementia Scale

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    Reduced cognitive function among the elderly is an important issue not only in developed countries, but also in developing countries. As a test to measure cognitive function, the Revised Hasegawa’s Dementia Scale (HDS-R) has been used in Asian countries including Japan, Korea, and China. Since there was no HDS-R version in Myanmar language, a questionnaire and manual for the HDS-R were developed. The translation from English to Myanmar language was done by two Myanmar researchers. Back-translation was conducted to confirm the accuracy of the translation by two other Myanmar researchers. Back-translated English was compared to the original by two Japanese researchers, and inconsistencies were discussed by all six researchers to reach consensus. Five Myanmar researchers independently read the questionnaire and manual to verify the expressions are familiar in Myanmar language. The modified points were as follows. 1) The date order in Question 2 is day/month/year. 2) The words to be memorized in Questions 4 and 7 are padauk tree, cat, and bullock cart for the first set, and tamarind tree, dog, and car for the second set. 3) The objects to be memorized in Question 8 are shown with pictures, not actual objects. 4) Like the Lao version, we introduced two new rules; a clear time definition for no reply (10 seconds), and repeating questions twice for those with hearing problems. The revised version of the HDS-R has been prepared to be an applicable standard questionnaire for use on assessment of cognitive function in suspected dementia cases in Myanmar, both in the clinical and public healthcare setting

    Survival rate and mortality risk factors among TB–HIV co-infected patients at an HIV-specialist hospital in Myanmar: A 12-year retrospective follow-up study

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    Background: Myanmar is listed as one of the countries with the highest burden of tuberculosis and HIV infections (TB–HIV) in the world. However, the survival rate and risk factors for mortality among TB–HIV co-infected patients in the country remain unstudied. Therefore, the purpose of this study was to examine these factors. Methods: A 12-year retrospective follow-up study was conducted among 3598 TB–HIV co-infected patients (2452 male and 1146 female) aged 15 years and above, enrolled on antiretroviral therapy (ART) from July 1, 2005 to December 31, 2016. Hazard ratios (HR) were estimated using the Cox proportional hazards model. Survival rates at the beginning of ART were calculated using the Kaplan–Meier method. Results: A total of 494 (13.7%) patients died during this period. The survival rate of TB–HIV co-infected patients was 82.0% at 5 years and 58.1% at 10 years. The risk factors for mortality were being bedridden (adjusted hazard ratio (aHR) 2.70, 95% confidence interval (CI) 2.13–3.42), having a low baseline CD4 count (aHR 1.53, 95% CI 1.25–1.87), and being on a second-line ART regimen (aHR 8.12, 95% CI 3.56–18.54). Conclusions: Two out of five TB–HIV patients died within 10 years after ART initiation. Current HIV prevention and treatment programs should focus more on bedridden patients, those on second-line ART, and those with low baseline CD4 counts. Keywords: Survival, TB–HIV, Antiretroviral therapy, Mortality, Myanma
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