TY - JOUR
T1 - Disease Prediction with a Maximum Entropy Method
AU - Shub , Michael
AU - Xu , Qing
AU - Xuan , Xiaohua
JO - CSIAM Transactions  on Life Sciences
VL - 1
SP - 134
EP - 152
PY - 2025
DA - 2025/03
SN - 1
DO - http://doi.org/10.4208/csiam-ls.SO-2024-0004a
UR - https://global-sci.org/intro/article_detail/csiam-ls/23913.html
KW - Disease prediction, maximum entropy, bioinformatics.
AB - <p style="text-align: justify;">In this paper, we propose a maximum entropy method for predicting disease risks. It is based on a patient’s medical history with diseases coded in International Classification of Diseases, tenth revision, which can be used in various cases.
The complete algorithm with strict mathematical derivation is given. We also present
experimental results on a medical dataset, demonstrating that our method performs
well in predicting future disease risks and achieves an accuracy rate twice that of the
traditional method. We also perform a comorbidity analysis to reveal the intrinsic relation of diseases.</p>