Predicting Kidney Graft Survival Using Machine Learning Methods: Prediction Model Development and Feature Significance Analysis Study SAA Naqvi, K Tennankore, A Vinson, PC Roy, SSR Abidi Journal of Medical Internet Research 23 (8), e26843, 2021 | 33 | 2021 |
A Digital Health Platform to Deliver Tailored Early Stimulation Programs for Children with Developmental Delays R da Luz Dias, M de Oliveira Lima, JGB Alves, W Van Woensel, A Naqvi, ... MEDINFO 2019: Health and Wellbeing e-Networks for All, 571-575, 2019 | 2 | 2019 |
Neural Correlates of Human Decision Making in Recommendation Systems: A Research Proposal NZ Quazilbash, Z Asif, SAA Naqvi Information Systems and Neuroscience, 139-145, 2019 | 2 | 2019 |
Multi-view clustering to identify novel kidney donor phenotypes for assessing graft survival in older transplant recipients SSR Abidi, A Naqvi, G Worthen, A Vinson, S Abidi, B Kiberd, T Skinner, ... Kidney360, 10.34067, 2023 | 1 | 2023 |
Analyzing Association Rules for Graft Failure Following Deceased and Live Donor Kidney Transplantation SAA Naqvi, K Tennankore, A Vinson, SSR Abidi Studies in Health Technology and Informatics 281, 188-192, 2021 | | 2021 |
PREDICTING THE OUTCOME OF KIDNEY TRANSPLANTS USING MACHINE LEARNING METHODS SAA Naqvi | | 2020 |