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.

The authors have declared no competing interest.

This work was supported by supported by Shanghai Municipal Science and Technology Major Project (2023SHZDZX02 and 2017SHZDZX01 to L.J.), the National Natural Science Foundation of China (82394432) and has been conducted using the UK Biobank Resource under Application Number 103791.

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The details of the IRB/oversight body that provided approval or exemption for the research described are given below:

The study used (or will use) ONLY openly available human data that were originally located at: UK Biobank (https://www.ukbiobank.ac.uk/).

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All data produced are available online at UK Biobank (https://www.ukbiobank.ac.uk/).