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98 articles for “Logistic Regression”
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Research ArticleOpen accessIn the abstractPublic Opinion About Ramadan and Obesity in EgyptDina Aly Ezzat, Augustine J. KposowaThe aim of the study was to investigate the effect of people’s perception of Ramadan eating habits and obesity in Egypt. Data were obtained through a paper and pencil cross-sectional survey that was administered to adults aged 18 and above in the Assiut Governorate in Egypt in 2015. The dependent variable was obesity, measured using the body mass index. Multivariate … …Journal of Social Sciences, Vol. 16, Issue 1 · 26 Apr 2020 · 7,371 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy and Analysis of Prediction Model for Heart Disease Data Using Machine Learning TechniquesB. Santhi, K. RenukaHeart disease is the number one cause of death for all communities of individuals in advanced countries and a major problem for emerging nations too. Doctors’ availability to care for the general population could not catch up with the present demand for healthcare. So, there is a severe need for a support system to assist save individuals. With novel ML … …Journal of Computer Science, Vol. 16, Issue 3 · 26 Mar 2020 · 7,784 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of the Efficacy of Landslide Susceptibility ModelsJordan Henrique de Souza, Gislaine dos Santos, Gabriela Guimarães Gouvêa de Oliveira et al.This research aims to analyze the efficacy of SHALSTAB, IPT, SAGA, SMORPH and modified SMORPH models in evaluating landslide susceptibility. Statistical analysis concerning both the efficacy of the models in the prediction of landslide risks and the concordance between the models according to landslide occurrence or non-occurrence was performed. For this work, logistic regression, Receiver Operating Characteristic (ROC) curves, Kappa … …American Journal of Environmental Sciences, Vol. 15, Issue 3 · 31 May 2019 · 8,839 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Classification Models for Predicting Mortality Rate Using Thyroid Cancer DataNorah Saleh AlghamdiMachine Learning (ML) can potentially enhance predictions in real-life domains. This study presents an evaluation and comparison of different ML methods which can be applied on thyroid cancer dataset, called Prostate, Lung, Colorectal and Ovarian (PLCO), of approximately 155,000 participants with thyroid cancer occurrence and mortality incidence. The ML models are explored for predicting mortality rates of patients with thyroid … …Journal of Computer Science, Vol. 15, Issue 1 · 21 Jan 2019 · 7,788 accessesView PDFCite
Research ArticleOpen accessIn the abstractRole of Small Scale Fishing on the Livelihood Improvement of Haor Fishermen: An Empirical Evidence from BangladeshMd. Nur Mozahid, Jasim Uddin Ahmed, Maksuda Mannaf, Sharmin AkterThe single most factors affecting the livelihood of haor people of Bangladesh is fishing. Data and information regarding this issue are lacking in Bangladesh, therefore, the study was conducted to assess the extent and determinants of livelihood step up of fishermen in haor area of Sunamganj district, Bangladesh. The present investigation showed that, the majority of the fishermen (60.0%) had … …American Journal of Economics and Business Administration, Vol. 10, Issue 1 · 15 Aug 2018 · 8,598 accessesView PDFCite
Research ArticleOpen accessIn the abstractSocio-Demographic Determinants of Adult Tuberculosis: A Matched Case-Control Study in BangladeshSamira Dishti Irfan, Mohammad Omar Faruque, Mahabub Ul Islam et al.Tuberculosis (TB) is a multi-systemic infectious disease that has evoked a substantial disease burden in developing countries, including Bangladesh. The aim of this study is to determine the socio-demographic risk factors for adult tuberculosis. A matched case-control study was conducted with 178 cases and 179 controls from a selected TB hospital in Dhaka. Data was collected via face-to-face interview using … …American Journal of Infectious Diseases, Vol. 13, Issue 3 · 6 Nov 2017 · 10,452 accessesView PDFCite
Research ArticleOpen accessIn the abstractPotential Impacts of Sustainable Dairy Farming in Char Areas of Northern BangladeshJasim Uddin Ahmed, Shankar Kumar Raha, Md. Habibur RahmanThis study was conducted to evaluate the potential impacts of sustainable dairy farming in Char areas of Northern Bangladesh. A total of 600 poorest dairy farming households were selected out of 1323 households, taking 200 households from each Upazila of Sariakandi, Islampur and Belkuchi of Bogra, Jamalpur and Sirajganj districts, respectively using simple random sampling technique. A structured questionnaire was … …American Journal of Agricultural and Biological Sciences, Vol. 12, Issue 3 · 2 Nov 2017 · 8,542 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Micronutrient Soil Deficiency, Crop Residue Usage and Soil Health Assessment on Wheat Crop Productivity: A Study of Indian PunjabTanvi KiranMicronutrient soil deficiency, usage of crop residue and assessment of soil health are the critical factors that have strong bearing on crop productivity. Therefore, in this backdrop, the present study has utilized the econometric tools of ANOVA regression and ordinal logistic regression approach to capture the impact of micronutrient soil deficiency, crop residue usage and soil health assessment on wheat … …American Journal of Applied Sciences, Vol. 15, Issue 3 · 7 Apr 2017 · 7,908 accessesView PDFCite
Research ArticleOpen accessIn the abstractAccess to and Uptake of Contraception by Women with DisabilitiesNatal Ayiga, Stella KigoziContraception has been identified as an imperative for achieving the Sustainable Development Goals. In poor countries, the need for contraception is highest among the most vulnerable population groups. One such group is women with disabilities. The objectives of this study were to examine uptake of and identify the predictors of use of contraception by women in Uganda with disabilities. The … …Journal of Social Sciences, Vol. 12, Issue 4 · 22 Nov 2016 · 8,001 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite