Zobrazeno 1 - 10
of 76
pro vyhledávání: '"P. Chowa"'
Publikováno v:
BMC Emergency Medicine, Vol 20, Iss 1, Pp 1-7 (2020)
Abstract Background The Kingdom of Eswatini, a lower-middle income nation of 1.45 million in southern Africa, has recently identified emergency care as a key strategy to respond to the national disease burden. We aimed to evaluate the current capacit
Externí odkaz:
https://doaj.org/article/1d5f7f3ff2704b18bdb2f1c6f7b478c0
Autor:
Alice Ngoma-Hazemba, Malizgani Paul Chavula, Noah Sichula, Adam Silumbwe, Oliver Mweemba, Mable Mweemba, Matildah Kakungu Simpungwe, Henry Phiri, Chowa Tembo Kasengele, Hikabasa Halwiindi, Margarate N. Munakampe, Joseph Mumba Zulu
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Introduction Adolescents and young women in low-middle-income countries face obstacles to accessing HIV, Sexual and Reproductive Health (SRH), and related Gender-Based Violence (GBV) services. This paper presents facilitators, opportunities,
Externí odkaz:
https://doaj.org/article/1e380cbc7a674a4789bb2a9b061410c6
Autor:
Joseph Mulema, Sydney Phiri, Nchimunya Bbebe, Rodwell Chandipo, Mutibo Chijikwa, Hildah Chimutingiza, Paul Kachapulula, Francisca Kankuma Mwanda, Mathews Matimelo, Emma Mazimba-Sikazwe, Sydney Mfune, Mtawa Mkulama, Miyanda Moonga, Wiza Mphande, Millens Mufwaya, Rabson Mulenga, Brenda Mweemba, Damien Ndalamei Mabote, Phillip Nkunika, Isaiah Nthenga, Mathias Tembo, Judith Chowa, Stacey Odunga, Selpha Opisa, Chapwa Kasoma, Lucinda Charles, Fernadis Makale, Ivan Rwomushana, Noah Anthony Phiri
Publikováno v:
NeoBiota, Vol 91, Iss , Pp 145-178 (2024)
A prioritisation study was conducted to address the lack of adequate information about potential pests likely to be introduced in Zambia and become invasive. The study was conducted by subject matter experts from relevant institutions in and outside
Externí odkaz:
https://doaj.org/article/6ff143492f1a4ba192174744064a5757
Autor:
Sidratul Montaha, Sami Azam, Md. Rahad Islam Bhuiyan, Sadia Sultana Chowa, Md. Saddam Hossain Mukta, Mirjam Jonkman
Publikováno v:
Digital Health, Vol 10 (2024)
Objective Early diagnosis of breast cancer can lead to effective treatment, possibly increase long-term survival rates, and improve quality of life. The objective of this study is to present an automated analysis and classification system for breast
Externí odkaz:
https://doaj.org/article/635d21744dae421f9e183600577623d4
Publikováno v:
Future Healthcare Journal, Vol 11, Iss , Pp 100040- (2024)
Problem: Internal medicine trainees (IMTs) require training in outpatient settings to prepare for the medical registrar role, as well as it being a core competency. However, time in the outpatient environment is inconsistently allocated, and IMTs tra
Externí odkaz:
https://doaj.org/article/f2ff70c53d6d483585400cac7490e799
Autor:
Simran Gupta, Md. Rahad Islam Bhuiyan, Sadia Sultana Chowa, Sidratul Montaha, Rashik Rahman, Sk. Tanzir Mehedi, Ziaur Rahman
Publikováno v:
Mathematics, Vol 12, Iss 18, p 2886 (2024)
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition that presents significant diagnostic challenges due to its varied symptoms and nature. This study aims to improve ASD classification using advanced deep learning techniques appl
Externí odkaz:
https://doaj.org/article/58db359fbaa042738a74b348599988b4
Autor:
Patrick Musonda, Hikabasa Halwiindi, Patrick Kaonga, Alice Ngoma-Hazemba, Matildah Simpungwe, Mable Mweemba, Chowa Tembo, Cosmas Zyambo, John Chisoso, Margaret Munakampe, Powell Choonga, Owen Ngalamika, Mwiche Musukuma, Malizgani P. Chavula, Noah Sichula, Oliver Mweemba, Joseph Mumba Zulu, Henry Phiri
Publikováno v:
PLoS ONE, Vol 19, Iss 6 (2024)
Externí odkaz:
https://doaj.org/article/0b8f2dce8c264d5e87047260e64ac282
Akademický článek
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Autor:
Shahed Hossain, Sami Azam, Sidratul Montaha, Asif Karim, Sadia Sultana Chowa, Chaity Mondol, Md Zahid Hasan, Mirjam Jonkman
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e21369- (2023)
Introduction: Breast cancer stands as the second most deadly form of cancer among women worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose: The study aims to classify breast ultrasound images into benign and
Externí odkaz:
https://doaj.org/article/9cdf3b0bec8e4a6dbc49c6a72276d260
Akademický článek
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