Identification of Outcome-Oriented Progression Subtypes from Mild Cognitive Impairment to Alzheimer's Disease Using Electronic Health Records

In this study, we proposed an outcome-oriented model to identify progression pathways from mild cognitive impairment (MCI) to AD using electronic health records (EHRs) from the OneFlorida+ Clinical Research Consortium. To achieve this, we employed the long short-term memory (LSTM) network to extract relevant information from the sequential records of each patient. The hierarchical agglomerative clustering was then applied to the learned representation to group patients based on their progression subtypes. Our approach identified multiple progression pathways, each of which represented distinct patterns of disease progression from MCI to AD. These pathways can serve as a valuable resource for researchers to understand the factors influencing AD progression and to develop personalized interventions to delay or prevent the onset of the disease.PMID:38222396 | PMC:PMC10785946

Source: AMIA Annual Symposium Proceedings - January 15, 2024 Category: Bioinformatics Authors: Jie Xu Rui Yin Yu Huang Hannah Gao Yonghui Wu Jingchuan Guo Glenn E Smith Steven T DeKosky Fei Wang Yi Guo Jiang Bian Source Type: research