Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Grace Chipalo-Mutati"'
Autor:
Valentina Bellemo, MSc, Zhan W Lim, PhD, Gilbert Lim, PhD, Quang D Nguyen, BEng, Yuchen Xie, MScPH, Michelle Y T Yip, BA, Haslina Hamzah, BSc, Jinyi Ho, DFST, Xin Q Lee, BSc (Hons), Wynne Hsu, PhD, Mong L Lee, PhD, Lillian Musonda, MD, Manju Chandran, FRCOphth, Grace Chipalo-Mutati, FCOphth (ECSA), Mulenga Muma, FCOphth (ECSA), Gavin S W Tan, MD, Sobha Sivaprasad, FRCOphth, Geeta Menon, FRCOphth, Tien Y Wong, MD, Daniel S W Ting, MD
Publikováno v:
The Lancet: Digital Health, Vol 1, Iss 1, Pp e35-e44 (2019)
Summary: Background: Radical measures are required to identify and reduce blindness due to diabetes to achieve the Sustainable Development Goals by 2030. Therefore, we evaluated the accuracy of an artificial intelligence (AI) model using deep learnin
Externí odkaz:
https://doaj.org/article/943af08e6a1c42458a838c9a61eaa7f5
Autor:
Chileshe Mboni, Anne Buglass, Godfrey Mwelwa, Mutale Nyaywa, Exhildah Phiri, Kenneth Siputuma, Evans Ngalande, Teddy Chibwe, Judith Munthali, Grace Chipalo-Mutati, Mulenga I.K. Muma
Publikováno v:
Medical Journal of Zambia. 48:4-14
Background: Early detection and treatment of eye diseases in children is critical in combating childhood blindness. Innovative community-based strategies such as training of teachers in vision screening need to be developed for effective utilisation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc2d3ea8b7a7b3ac9518efc667f36ca5
https://doi.org/10.55320/mjz.48.1.788
https://doi.org/10.55320/mjz.48.1.788
Autor:
Charles Michelo, Edgar Simulundu, Patrick Kaonga, Lillian Chinama – Musonda, Grace Chipalo – Mutati, Patricia Mulenga, Righton Zulu, Tyness S. Mumba – Malisawa, George Zulu, Jessie I. M. Nyalazi, Kachikonyo Sibande – Muma, Consity Mwale, Chileshe Mboni, Kangwa I. M. Muma
Publikováno v:
Medical Journal of Zambia. 47:112-124
Purpose: To demonstrate the socioeconomic, demographic and clinical characteristics associated with patients of juvenile-onset open-angle glaucoma (JOAG) at the University Teaching Hospitals Eye Hospital (UTHs - EH). Methods: This was a cross-section
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57ba3714a567a85c432b2f11e865778e
https://doi.org/10.55320/mjz.47.2.692
https://doi.org/10.55320/mjz.47.2.692
Autor:
Misa Funjika, Yilikal Adamu, Paul Courtright, Ana Bakhtiari, Rebecca Willis, Caleb Mpyet, Wondu Alemayehu, Patrick Massae, Muma Mulenga, Davison Kwendakwema, Christian Nwosu, Andrew Silumesii, Chisanga Chelu, Tawfik Al-Khatib, Teddy Sokesi, Grace Chipalo – Mutati, Willard Mumbi, Consity Mwale, Anthony W. Solomon, Michael Dejene
Publikováno v:
Ophthalmic Epidemiology
Purpose: A number of previous administrative-district-level baseline trachoma prevalence estimates in Zambia required verification. We used methodologies and systems for trachoma surveys considered to represent international best practice in order to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9af6dba5edb2c10f28b106139e62aa62
https://doi.org/10.1080/09286586.2018.1546880
https://doi.org/10.1080/09286586.2018.1546880
Autor:
Quang Duc Nguyen, Yuchen Xie, Mulenga Muma, Jinyi Ho, Wynne Hsu, Valentina Bellemo, Manju Chandran, Haslina Hamzah, Lillian Musonda, Michelle Y.T. Yip, Geeta Menon, Zhan Wei Lim, Mong Li Lee, Gilbert Lim, Daniel Shu Wei Ting, Grace Chipalo-Mutati, Sobha Sivaprasad, Tien Yin Wong, Gavin Tan, Xin Q Lee
Publikováno v:
The Lancet: Digital Health, Vol 1, Iss 1, Pp e35-e44 (2019)
Summary Background Radical measures are required to identify and reduce blindness due to diabetes to achieve the Sustainable Development Goals by 2030. Therefore, we evaluated the accuracy of an artificial intelligence (AI) model using deep learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42e75758941b3fe9ed496a106ffe3753
http://www.sciencedirect.com/science/article/pii/S2589750019300044
http://www.sciencedirect.com/science/article/pii/S2589750019300044
Autor:
Gavin Sw Tan, Lillian Musonda, Quang Duc Nguyen, Grace Chipalo-Mutati, Geeta Menon, Wynne Hsu, Jinyi Ho, Valentina Bellemo, Mong Li Lee, Zhan Wei Lim, Yuchen Xie, Xin Q Lee, Michelle Yt Yip, Haslina Hamzah, Tien Yin Wong, Gilbert Lim, Sobha Sivaprasad, Daniel Shu Wei Ting, Mulenga Muma, Manju Chandran
Publikováno v:
SSRN Electronic Journal.
Background: Radical measures are required to identify and reduce blindness due to diabetes to achieve Sustainable Development Goals by 2030. Therefore, we evaluated the accuracy of artificial intelligence (AI) using deep learning in a population base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::689c0da28bfc2b6f53b77949b8716d46
https://doi.org/10.2139/ssrn.3324738
https://doi.org/10.2139/ssrn.3324738
Autor:
Grace, Chipalo-Mutati
Publikováno v:
Community eye health. 20(61)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3c86ab197415ff4d2cb2c9e581805e91
https://pubmed.ncbi.nlm.nih.gov/17637852
https://pubmed.ncbi.nlm.nih.gov/17637852