{"title":"ChatGPT对心脏病学中的虚拟现实研究进行分类的能力。","authors":"Yuichiro Nakaya, Akinori Higaki, Osamu Yamaguchi","doi":"10.1093/ehjdh/ztad026","DOIUrl":null,"url":null,"abstract":"We recently published a novel categorization of studies related to virtual reality (VR) in your journal, European Heart Journal—Digital Health . 1 Our categorization is based on the usage of VR devices, where type A studies refer to those in which healthcare providers use VR devices and type B studies refer to those in which patients use them. Using this sim-ple definition, we clarified the study trends and characteristics of the two research directions. In this study, we used a classical natural language processing (NLP) methodology, specifically ‘term frequency– inverse document frequency’ to develop an automatic abstract categorizer, which is available as a web application at https://ahigaki-vr-categorizer-str-app-gb1m6v.streamlit.app","PeriodicalId":72965,"journal":{"name":"European heart journal. Digital health","volume":"4 3","pages":"141-142"},"PeriodicalIF":3.9000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/3f/a5/ztad026.PMC10232268.pdf","citationCount":"2","resultStr":"{\"title\":\"ChatGPT's ability to classify virtual reality studies in cardiology.\",\"authors\":\"Yuichiro Nakaya, Akinori Higaki, Osamu Yamaguchi\",\"doi\":\"10.1093/ehjdh/ztad026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We recently published a novel categorization of studies related to virtual reality (VR) in your journal, European Heart Journal—Digital Health . 1 Our categorization is based on the usage of VR devices, where type A studies refer to those in which healthcare providers use VR devices and type B studies refer to those in which patients use them. Using this sim-ple definition, we clarified the study trends and characteristics of the two research directions. In this study, we used a classical natural language processing (NLP) methodology, specifically ‘term frequency– inverse document frequency’ to develop an automatic abstract categorizer, which is available as a web application at https://ahigaki-vr-categorizer-str-app-gb1m6v.streamlit.app\",\"PeriodicalId\":72965,\"journal\":{\"name\":\"European heart journal. Digital health\",\"volume\":\"4 3\",\"pages\":\"141-142\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/3f/a5/ztad026.PMC10232268.pdf\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European heart journal. Digital health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/ehjdh/ztad026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European heart journal. Digital health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/ehjdh/ztad026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
ChatGPT's ability to classify virtual reality studies in cardiology.
We recently published a novel categorization of studies related to virtual reality (VR) in your journal, European Heart Journal—Digital Health . 1 Our categorization is based on the usage of VR devices, where type A studies refer to those in which healthcare providers use VR devices and type B studies refer to those in which patients use them. Using this sim-ple definition, we clarified the study trends and characteristics of the two research directions. In this study, we used a classical natural language processing (NLP) methodology, specifically ‘term frequency– inverse document frequency’ to develop an automatic abstract categorizer, which is available as a web application at https://ahigaki-vr-categorizer-str-app-gb1m6v.streamlit.app