Prostate cancer management with lifestyle intervention: From knowledge graph to Chatbot

被引:12
作者
Chen, Yalan [1 ,2 ]
Sinha, Baivab [1 ]
Ye, Fei [1 ]
Tang, Tong [1 ]
Wu, Rongrong [1 ]
He, Mengqiao [1 ]
Zheng, Xiaonan [1 ,3 ]
Shen, Bairong [1 ]
机构
[1] Sichuan Univ, West China Hosp, Inst Syst Genet, Frontiers Sci Ctr Dis Related Mol Network, Chengdu 610041, Peoples R China
[2] Nantong Univ, Sch Med, Dept Med Informat, Nantong, Peoples R China
[3] Sichuan Univ, West China Hosp, Dept Urol, Chengdu, Peoples R China
来源
CLINICAL AND TRANSLATIONAL DISCOVERY | 2022年 / 2卷 / 01期
基金
中国国家自然科学基金;
关键词
healthcare chatbot; knowledge graph; lifestyle medicine; prostate cancer; DISEASE; HEALTH; MEDICINE; SYSTEM;
D O I
10.1002/ctd2.29
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
BackgroundPersonal lifestyle is an important cause of prostate cancer (PCa), hence establishing a corresponding knowledge graph (KG) and a chatbot is a convenient way for preventing and assessing risks. The chatbot based on a KG of PCa-associated lifestyles will be helpful to PCa management, then save health care resources in the ageing society. ResultsBased on our established knowledge base, we define entities and corresponding relationships to construct the PCa-associated lifestyles KG for visualization by importing the triples into the Neo4j graph server. The dialogue system uses the Flask framework to determine the classification of questions through entity recognition and relationship extraction and later uses the query template to search the answers from the PCa-associated lifestyles KG. The PCa-associated lifestyles KG contains 11 types of entities and 14 types of relationships, the total number of nodes and links is 21 546 and 66 493, respectively. Also, the entity "Lifestyle", "Paper", "Baseline" and "Outcome" contain multiple attributes. The established chatbot can answer 12 types of basic questions and predict the probability of a certain lifestyle resulting in a certain PCa. The chatbot is available at . ConclusionA chatbot based on PCa-associated lifestyles KG was constructed to help researchers, physicians or patients learn more about PCa lifestyle management interactively.
引用
收藏
页数:13
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