The burden of chronic diseases, disease-stratified exploration and gender-differentiated healthcare utilisation among patients in Bangladesh.

Autor: Mahumud RA; Health Research Group, Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh.; NHMRC Clinical Trials Centre, Faculty of Medicine and Health, The University of Sydney, Camperdown, New South Wales, Australia.; School of Business, Faculty of Business, Education, Law and Arts, University of Southern Queensland, Toowoomba, Australia., Gow J; School of Business, Faculty of Business, Education, Law and Arts, University of Southern Queensland, Toowoomba, Australia.; School of Accounting, Economics and Finance, College of Law and Management Studies, University of KwaZulu-Natal, Durban, South Africa., Mosharaf MP; Health Research Group, Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh.; School of Business, Faculty of Business, Education, Law and Arts, University of Southern Queensland, Toowoomba, Australia., Kundu S; Global Health Institute, North South University, Dhaka, Bangladesh.; Faculty of Nutrition and Food Science, Patuakhali Science and Technology University, Patuakhali, Bangladesh., Rahman MA; Development Studies Discipline, Social Science School, Khulna University, Khulna, Bangladesh., Dukhi N; Human Sciences Research Council, Cape Town, South Africa., Shahajalal M; Department of Public Health, School of Health and Life Sciences, North South University, Dhaka, Bangladesh., Mistry SK; Centre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia.; ARCED Foundation, Dhaka, Bangladesh.; Department of Public Health, Daffodil International University, Dhaka, Bangladesh.; Brain and Mond Centre, The University of Sydney, Camperdown, New South Wales, Australia., Alam K; School of Business, Faculty of Business, Education, Law and Arts, University of Southern Queensland, Toowoomba, Australia.

Publikováno v: PloS one [PLoS One] 2023 May 02; Vol. 18 (5), pp. e0284117. Date of Electronic Publication: 2023 May 02 (Print Publication: 2023).

Improving Thyroid Disorder Diagnosis via Ensemble Stacking and Bidirectional Feature Selection.

Autor: Latif, Muhammad Armghan, Mushtaq, Zohaib, Arif, Saad, Rehman, Sara, Qureshi, Muhammad Farrukh, Samee, Nagwan Abdel, Alabdulhafith, Maali, Yeong Hyeon Gu, Al-masni, Mohammed A.

Publikováno v: Computers, Materials & Continua; 2024, Vol. 78 Issue 3, p4225-4241, 17p