Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
Department of Neurology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
BMC Med Inform Decis Mak. 2020 Oct 17;20(1):268. doi: 10.1186/s12911-020-01282-z.
Autism is a lifelong disability associated with several comorbidities that confound diagnosis and treatment. A better understanding of these comorbidities would facilitate diagnosis and improve treatments. Our aim was to improve the detection of comorbid diseases associated with autism.
We used an FP-growth algorithm to retrospectively infer disease associations using 1488 patients with autism treated at the Guangzhou Women and Children's Medical Center. The disease network was established using Cytoscape 3.7. The rules were internally validated by 10-fold cross-validation. All rules were further verified using the Columbia Open Health Data (COHD) and by literature search.
We found 148 comorbid diseases including intellectual disability, developmental speech disorder, and epilepsy. The network comprised of 76 nodes and 178 directed links. 158 links were confirmed by literature search and 105 links were validated by COHD. Furthermore, we identified 14 links not previously reported.
We demonstrate that the FP-growth algorithm can detect comorbid disease patterns, including novel ones, in patients with autism.
自闭症是一种终身残疾，与多种合并症相关，这些合并症使诊断和治疗变得复杂。更好地了解这些合并症将有助于诊断并改善治疗效果。我们的目的是提高对自闭症相关合并症的检测能力。
我们使用 FP-growth 算法，通过对在广州市妇女儿童医疗中心接受治疗的 1488 名自闭症患者进行回顾性推断疾病关联。使用 Cytoscape 3.7 建立疾病网络。使用 10 折交叉验证对内部分支规则进行验证。所有规则均通过哥伦比亚开放健康数据（COHD）和文献检索进行进一步验证。
我们发现了 148 种合并症，包括智力障碍、发育性言语障碍和癫痫。网络由 76 个节点和 178 个有向链接组成。通过文献检索确认了 158 个链接，通过 COHD 验证了 105 个链接。此外，我们还发现了 14 个以前未报道过的链接。
我们证明了 FP-growth 算法可以检测自闭症患者的合并症模式，包括新的合并症模式。
