Digital Health for Myocardial Infarction: Research Topics and Trends

被引：0
作者：
Pelly, Melissa [1 ]
Fatehi, Farhad [1 ,2 ]
Samadbeik, Mahnaz [3 ]
Liew, Danny [4 ]
Verdejo-Garcia, Antonio [1 ]
机构：
[1] Monash Univ, Sch Psychol Sci, Melbourne, Vic, Australia
[2] Univ Queensland, Ctr Hlth Serv Res, Brisbane, Qld, Australia
[3] Lorestan Univ Med Sci, Sch Allied Med Sci, Social Determinants Hlth Res Ctr, Khorramabad, Iran
[4] Monash Univ, Sch Publ Hlth & Prevent Med, Melbourne, Vic, Australia
来源：
MEDINFO 2023 - THE FUTURE IS ACCESSIBLE | 2024年 / 310卷
关键词：
Artificial intelligence; chronic care management; data visualisation; digital health; CARDIOVASCULAR-DISEASE; CHALLENGES; PREVENTION; ADHERENCE; MHEALTH;
D O I：
10.3233/SHTI231001
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We aimed to map the topics and trends of research on digital health for myocardial infarction over the past ten years. This can inform future research directions and newly emerging topics for myocardial infarction care, diagnosis and monitoring. The Web of Science database was searched for papers related to digital health for myocardial infarction. 1,344 retrieved records were used for visualisation through bibliometrics and co-occurrence network analysis of keywords. Our mapping revealed several emerging topics in recent years, including artificial intelligence and deep learning. Higher emphasis on automated and artificially intelligent digital health systems in recent years can inform future clinical practice and research directions for myocardial infarction.
引用
收藏
页码：429 / 433
页数：5
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