Cluster analysis and visualisation of electronic health records data to identify undiagnosed patients with rare genetic diseases

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...

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Bibliographic Details
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
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-55424-8

Internet

https://doi.org/10.1038/s41598-024-55424-8

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