The rise of fake news on social media has had a detrimental effect on society. Numerous performance evaluations on classifiers that can detect fake news have previously been undertaken by researchers in this area. To assess their performance, we used 14 different classifiers in this study. Secondly, we looked at how soft voting and hard voting classifiers performed in a mixture of distinct individual classifiers. Finally, heuristics are used to create 9 models of stacking classifiers. The F1 score, prediction, recall, and accuracy have all been used to assess performance. Models 6 and 7 achieved the best accuracy of 96.13 while having a larger computational complexity. For benchmarking purposes, other individual classifiers are also tested.
Background and objective: Short answer question (SAQ) format has been introduced as a major component of summative professional examinations of MBBS (Bachelor of Medicine and Surgery) course in Bangladesh over a decade. No systematic evaluation has yet been conducted on implementation of SAQ as directed in curriculum to assess the medical students in the summative examination of MBBS course. The present study assessed the weightage given to the different components of cognitive domain in SAQs in anatomy in first Professional MBBS Examination under the University of Dhaka. Materials and method: This cross-sectional study was conducted in the Department of Anatomy, Ibrahim Medical College. Anatomy SAQ papers, Paper I and Paper II, from January 2009 to July 2014 of University of Dhaka were selected. A total of 24 SAQ papers containing 572 questions were included in this study. Every question in a paper was categorized as recall, understanding application types. Then the total number of marks allocated for each of the type of questions were calculated and compared with the total marks (98) allocated for the questions in a paper. Then the resultant weightage of marks were compared with the curricular directive weightage of marks allotted for SAQ. Result: On analysis it was found that during the period from 2009 to 2014 76.58% and 23.42% SAQ were recall and understanding types respectively. No question was found to assess the application component of the cognitive domain of the students. Conclusion: The study revealed that SAQ introduced as an assessment tool in undergraduate medical curriculum was not properly implemented and its desired objectives were not fully achieved. IMC J Med Sci 2018; 12(2): 69-72
Diabetes is a serious and growing global epidemic affecting people more in developing countries than developed countries, and is particularly devastating when triggered during pregnancy. Women with GDM are at increased risk of developing type 2 diabetes mellitus after pregnancy, while their offspring are prone to develop childhood obesity with type 2 diabetes in later life. This study was aimed to estimate the prevalence of gestational diabetes in Bangladeshi women. A descriptive cross-sectional study was carried out to estimate the prevalence of Gestational Diabetes among the pregnant women attending the OPD of BIRDEM Hospital. The study was conducted from January 2013 to April 2013. A non-probability purposive sampling technique was used. The data was collected using pre-tested self-administered semi-structured questionnaire and collected data was analyzed using SPSS 22.0 version. The finding of this study shows that, 42.3% of the respondents were in the age group 30-34 years and the mean age of the respondents was 24.4 (±4.94) years. The majority of the respondents (68.2%) were Muslim and it was also seen that 46.9% of the respondents had HSC level of education. More than half (65.9%) of the respondents were housewives and about 82.9% were from nuclear family. About 47.3% of the respondents had positive family history of hypertension and 34.4% had diabetes. More than half (57.7%) of the respondents did not maintain diabetic diet and 23.6% of the respondents had attended GDM program. The prevalence of gestational diabetes is 35.1%. There is need of appropriate intervention to control GDM and also risk indicator modifications in order to avoid complication regarding to mother and child. Asian Australas. J. Biosci. Biotechnol. 2019, 4 (2), 116-121
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