Versatile latent distribution-preserving tabular data synthesis-based endovascular treatment selection for intracranial aneurysm

Yang, Qian1,2; Ou, Chubin3; Li, Kang4; Wang, Zhongxiao5,6; Zhang, Yucong7,8; Liao, Xiangyun2; Lv, Jianping9; Si, Weixin2

2024-12-01

10.1016/j.eswa.2024.124630

EXPERT SYSTEMS WITH APPLICATIONS   影响因子和分区

0957-4174

1873-6793

Proper decision-making for endovascular treatment (EVT) is crucial in reducing complications of intracranial aneurysms (IAs) and improving the quality of patients' lives. Electronic medical records (EMRs) possess comprehensive information about patients, which provides substantial data support for EVT decisions. Machine learning (ML) models demonstrate considerable performance in handling the relationship between various clinical indicators and treatment decisions based on EMRs. However, they still face challenges regarding the data scarcity and imbalance distribution of EMRs. To address these issues, we propose a latent distribution- preserving structure that can generate authentic EMRs in a category-aware manner. We first map the EMRs into the latent space to obtain the original prototypes and generate the minority prototypes by augmenting within the latent distributions of the minority categories. The original and synthesized minority prototypes are then reconstructed and synthesized to EMRs. The reconstruction process aligns the original and synthesized data space, promoting high authenticity in data-scarce sample generation. Subsequently, the synthesized and original EMRs are merged to obtain sufficient and balanced training data for ML models. Experiment results demonstrate the effectiveness of our proposed structure in enhancing generative performance across various state-of-the-art tabular GAN and boosts the treatment-decision performance by 2.8%-7.2% in AUC, 3.4%-17.2% in F1. The resources will be publicly available.

Intracranial aneurysm Treatment decision Generative adversarial network Tabular synthesis

SCI ; EI

英语

第一

Research Grants Council of the Hong Kong Special Administrative Region, China[T45-401/22-N] ; National Natural Science Foundation of China["62372441","U22A2034"] ; Guangdong Basic and Applied Basic Research Foundation, China[2023A1515030268] ; Shenzhen Science and Technology Program, China[RCYX20231211090127030] ; Guangzhou Municipal Key R and D Program, China[2024B03J0947] ; Shenzhen Medical Academy of Research and Translation Program[A2302031]

Computer Science ; Engineering ; Operations Research & Management Science

Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science

WOS:001267172600001

PERGAMON-ELSEVIER SCIENCE LTD

ENGINEERING

Web of Science

1.Southern Univ Sci & Technol, 1088 Xueyuan Ave, Shenzhen 518055, Guangdong, Peoples R China
2.Chinese Acad Sci, Shenzhen Inst Adv Technol, 1068 Xueyuan Ave, Shenzhen 518055, Guangdong, Peoples R China
3.Southern Med Univ, Guangdong Prov Peoples Hosp, Guangdong Acad Med Sci, Dept Radiol, 1023-1063 South Shatai Rd, Guangzhou 510091, Guangdong, Peoples R China
4.Chinese Univ Hong Kong, Dept Comp Sci & Engn, Shatin, 12 Chak Cheung St, Hong Kong, Peoples R China
5.Capital Med Univ, Beijing Neurosurg Inst, Dept Intervent Neuroradiol, TiantanXili 6, Beijing 100000, Peoples R China
6.Capital Med Univ, Beijing Tian Tan Hosp, TiantanXili 6, Beijing 100000, Peoples R China
7.Jinan Univ, Shenzhen Peoples Hosp, Clin Med Coll 2, Dept Radiotherapy, Shenzhen, Guangdong, Peoples R China
8.Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen, Guangdong, Peoples R China
9.South China Univ Technol, Guangzhou Peoples Hosp 1, Sch Med, Dept Neurosurg, 1 Panfu Rd, Guangzhou 510091, Guangdong, Peoples R China

Yang, Qian,Ou, Chubin,Li, Kang,et al. Versatile latent distribution-preserving tabular data synthesis-based endovascular treatment selection for intracranial aneurysm[J]. EXPERT SYSTEMS WITH APPLICATIONS,2024,255.

Yang, Qian.,Ou, Chubin.,Li, Kang.,Wang, Zhongxiao.,Zhang, Yucong.,...&Si, Weixin.(2024).Versatile latent distribution-preserving tabular data synthesis-based endovascular treatment selection for intracranial aneurysm.EXPERT SYSTEMS WITH APPLICATIONS,255.

Yang, Qian,et al."Versatile latent distribution-preserving tabular data synthesis-based endovascular treatment selection for intracranial aneurysm".EXPERT SYSTEMS WITH APPLICATIONS 255(2024).