LUKB DT: A Web Tool for Quick and Efficient Identification of Disease Trajectories
Li, X.; Zhang, H.; Jiang, S.; Gao, B.; Hu, Z.
Show abstract
As the volume of electronic medical data grows, understanding disease progression and identifying risk factors have become central to public health research. Disease trajectories provide valuable insights into disease progression and risk factors. LUKB DT (LUKB Disease Trajectories) is a user-friendly web tool designed to facilitate disease trajectory analysis using electronic medical records (EMR), particularly the UK Biobank data. LUKB DT processes EMR data, including patient ID, disease diagnoses, corresponding timestamps, and other relevant variables, combining Cox regression, binomial tests, and conditional logistic regression to identify disease trajectories. This tool offers a quick and efficient way to prepare and analyze disease trajectories, contributing to the expanding field of disease trajectory research and providing valuable insights for risk factor identification and disease progression studies. Detailed deployment and usage can be found in the Supplementary Material. LUKB DT is freely available at https://github.com/HaiGenBuShang/LUKB.
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