Deep-WET: a deep learning-based approach for predicting DNA-binding proteins using word embedding techniques with weighted features.

Autor: Mahmud SMH; Department of Computer Science, American International University-Bangladesh (AIUB), Kuratoli, Dhaka, 1229, Bangladesh. hasan.swe@aiub.edu.; Centre for Advanced Machine Learning and Applications (CAMLAs), Dhaka, 1229, Bangladesh. hasan.swe@aiub.edu., Goh KOM; Faculty of Information Science & Technology (FIST), Multimedia University, Jalan Ayer Keroh Lama, 75450, Melaka, Malaysia. michael.goh@mmu.edu.my., Hosen MF; Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Santosh, Tangail, 1902, Bangladesh., Nandi D; Department of Computer Science, American International University-Bangladesh (AIUB), Kuratoli, Dhaka, 1229, Bangladesh., Shoombuatong W; Center for Research Innovation and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok, 10700, Thailand.

Publikováno v: Scientific reports [Sci Rep] 2024 Feb 05; Vol. 14 (1), pp. 2961. Date of Electronic Publication: 2024 Feb 05.

A Novel Hybrid Approach for Classifying Osteosarcoma Using Deep Feature Extraction and Multilayer Perceptron.

Autor: Aziz MT; Centre for Advanced Machine Learning and Applications (CAMLAs), Bashundhara R/A, Dhaka 1229, Bangladesh., Mahmud SMH; Centre for Advanced Machine Learning and Applications (CAMLAs), Bashundhara R/A, Dhaka 1229, Bangladesh.; Department of Computer Science, American International University-Bangladesh (AIUB), 408/1, Kuratoli, Khilkhet, Dhaka 1229, Bangladesh., Elahe MF; Centre for Advanced Machine Learning and Applications (CAMLAs), Bashundhara R/A, Dhaka 1229, Bangladesh.; Department of Software Engineering, Daffodil International University, Daffodil Smart City (DSC), Savar, Dhaka 1216, Bangladesh., Jahan H; Centre for Advanced Machine Learning and Applications (CAMLAs), Bashundhara R/A, Dhaka 1229, Bangladesh.; Department of Computer Science & Engineering (CSE), Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka 1216, Bangladesh., Rahman MH; Centre for Advanced Machine Learning and Applications (CAMLAs), Bashundhara R/A, Dhaka 1229, Bangladesh.; Department of Computer Science and Engineering, Islamic University, Kushtia 7003, Bangladesh., Nandi D; Department of Computer Science, American International University-Bangladesh (AIUB), 408/1, Kuratoli, Khilkhet, Dhaka 1229, Bangladesh., Smirani LK; The Deanship of Information Technology and E-learning, Umm Al-Qura University, Mecca 24382, Saudi Arabia., Ahmed K; Department of Electrical and Computer Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK S7N 5A9, Canada.; Group of Biophotomatiχ, Department of Information and Communication Technology (ICT), Mawlana Bhashani Science and Technology University (MBSTU), Tangail 1902, Bangladesh., Bui FM; Department of Electrical and Computer Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK S7N 5A9, Canada., Moni MA; Artificial Intelligence & Digital Health, School of Health and Rehabilitation Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St. Lucia, QLD 4072, Australia.

Publikováno v: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 Jun 18; Vol. 13 (12). Date of Electronic Publication: 2023 Jun 18.

DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins.

Autor: Hosen MF; Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Santosh, Tangail, 1902, Bangladesh., Mahmud SMH; Department of Computer Science, American International University-Bangladesh (AIUB), Kuratoli, Dhaka, 1229, Bangladesh., Ahmed K; Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Santosh, Tangail, 1902, Bangladesh., Chen W; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China., Moni MA; School of Health and Rehabilitation Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, QLD, 4072, Australia., Deng HW; Tulane Center for Biomedical Informatics and Genomics, Division of Biomedical Informatics and Genomics, John W. Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, 70112, USA., Shoombuatong W; Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok, 10700, Thailand. Electronic address: watshara.sho@mahidol.ac.th., Hasan MM; Tulane Center for Biomedical Informatics and Genomics, Division of Biomedical Informatics and Genomics, John W. Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, 70112, USA. Electronic address: mhasan1@tulane.edu.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2022 Jun; Vol. 145, pp. 105433. Date of Electronic Publication: 2022 Mar 30.

An Uninformed Decision-Making Process for Cesarean Section: A Qualitative Exploratory Study among the Slum Residents of Dhaka City, Bangladesh.

Autor: Sultana J; Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Mohakhali, Dhaka 1212, Bangladesh., Sutradhar I; BRAC James P Grant School of Public Health, BRAC University, Dhaka 1213, Bangladesh., Rahman MJ; International Health, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St Suite E8527, Baltimore, MD 21205, USA., Khan ANS; Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Mohakhali, Dhaka 1212, Bangladesh., Chowdhury MAK; BRAC James P Grant School of Public Health, BRAC University, Dhaka 1213, Bangladesh., Hasib E; Family Health International, Dhaka 1212, Bangladesh., Chhetri C; Falck Global Assistance, Gurugram 122015, India., Mahmud SMH; Bangladesh National Nutrition Council, Mohakhali, Dhaka 1212, Bangladesh., Kashem T; Bangladesh Palliative and Supportive Care Foundation, Dhaka 1212, Bangladesh., Kumar S; Health Systems Transformation Platform, New Delhi 110070, India., Myint ZT; Health Systems Strengthening, Community Partners International, Yangon 11201, Myanmar., Rahman M; Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Mohakhali, Dhaka 1212, Bangladesh., Huda TMN; Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Mohakhali, Dhaka 1212, Bangladesh., Arifeen SE; Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Mohakhali, Dhaka 1212, Bangladesh., Billah SM; Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Mohakhali, Dhaka 1212, Bangladesh.; Sydney School of Public Health, The University of Sydney, Sydney, NSW 2006, Australia.

Publikováno v: International journal of environmental research and public health [Int J Environ Res Public Health] 2022 Jan 27; Vol. 19 (3). Date of Electronic Publication: 2022 Jan 27.

Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases.

Autor: Rahman MH; Dept. of Computer Science and Engineering, Islamic University, Kushtia 7003, Bangladesh., Rana HK; Dept. of Computer Science and Engineering, Green University of Bangladesh, Dhaka, Bangladesh., Peng S; Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing 100190, China., Kibria MG; Dept. of Chemical and Petroleum Engineering, Schulich School of Engineering, University of Calgary, Canada., Islam MZ; Department of Electronics, Graduate School of Engineering, Nagoya University, Japan., Mahmud SMH; Dept. of Computer Science, American International University Bangladesh, Dhaka, Bangladesh., Moni MA; School of Health and Rehabilitation Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, QLD 4072, Australia. Electronic address: m.moni@uq.edu.au.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2021 Nov; Vol. 138, pp. 104859. Date of Electronic Publication: 2021 Sep 23.