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Jo-Anne Manski-Nankervis
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2020 – today
- 2025
- [c1]Chang Cai, Michelle Jong, Yih Yng Ng, Jo-Anne Elizabeth Manski-Nankervis, Kum Ying Tham, Preman Rajalingam, Boon Keong Ang, Jennifer Anne Cleland, Joseph Sung, Xiuyi Fan:
Developing a Postgraduate Program for AI in Medicine with Kern's Six-Step Curriculum Development Approach in Singapore. AAAI 2025: 28979-28987 - 2022
- [j4]Adriano Augusto, Timothy Deitz, Noel Faux
, Jo-Anne Manski-Nankervis, Daniel Capurro:
Process mining-driven analysis of COVID-19's impact on vaccination patterns. J. Biomed. Informatics 130: 104081 (2022) - [j3]Rachel Canaway
Identifying primary care datasets and perspectives on their secondary use: a survey of Australian data users and custodians. BMC Medical Informatics Decis. Mak. 22(1): 94 (2022) - 2021
- [j2]Jo-Anne Manski-Nankervis, Karyn Alexander
Towards optimising chronic kidney disease detection and management in primary care: Underlying theory and protocol for technology development using an Integrated Knowledge Translation approach. Health Informatics J. 27(2): 146045822110082 (2021) - [j1]Sharmala Thuraisingam, Patty Chondros
Assessing the suitability of general practice electronic health records for clinical prediction model development: a data quality assessment. BMC Medical Informatics Decis. Mak. 21(1): 297 (2021) - [i1]Adriano Augusto, Timothy Deitz, Noel Faux, Jo-Anne Manski-Nankervis, Daniel Capurro:
Process Mining-Driven Analysis of the COVID19 Impact on the Vaccinations of Victorian Patients. CoRR abs/2112.04634 (2021)
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last updated on 2025-04-20 23:53 CEST by the dblp team
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