Cluster analysis and visualisation of electronic health records data to identify undiagnosed patients with rare genetic diseases
Abstract Rare genetic diseases affect 5–8% of the population but are often undiagnosed or misdiagnosed. Electronic health records (EHR) contain large amounts of data, which provide opportunities for analysing and mining. Data mining, in the form of cluster analysis and visualisation, was performed o...
Main Authors: | Daniel Moynihan, Sean Monaco, Teck Wah Ting, Kaavya Narasimhalu, Jenny Hsieh, Sylvia Kam, Jiin Ying Lim, Weng Khong Lim, Sonia Davila, Yasmin Bylstra, Iswaree Devi Balakrishnan, Mark Heng, Elian Chia, Khung Keong Yeo, Bee Keow Goh, Ritu Gupta, Tele Tan, Gareth Baynam, Saumya Shekhar Jamuar |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-03-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-55424-8 |
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