{"title":"建立脑卒中预测模型的统计学教学。","authors":"Xin-Juan Wang, Lian-Ping He","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>This paper comprehensively elaborates on a statistical teaching design that is intricately centered around the construction of stroke prediction models. Stroke, being one of the foremost causes of death and disability on a global scale, necessitates the development of accurate prediction models, which carry substantial clinical value. This teaching design is meticulously crafted to not only endow students with practical statistical skills but also to deepen their comprehension of the medical applications of statistics. By doing so, it aims to cultivate cross - disciplinary talents who are proficient in both statistical and medical knowledge, equipping them to contribute effectively to the field of medical data analysis and stroke prevention.</p>","PeriodicalId":12610,"journal":{"name":"Georgian medical news","volume":" 359","pages":"72-75"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"STATISTICAL TEACHING ON BUILDING STROKE PREDICTION MODELS.\",\"authors\":\"Xin-Juan Wang, Lian-Ping He\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This paper comprehensively elaborates on a statistical teaching design that is intricately centered around the construction of stroke prediction models. Stroke, being one of the foremost causes of death and disability on a global scale, necessitates the development of accurate prediction models, which carry substantial clinical value. This teaching design is meticulously crafted to not only endow students with practical statistical skills but also to deepen their comprehension of the medical applications of statistics. By doing so, it aims to cultivate cross - disciplinary talents who are proficient in both statistical and medical knowledge, equipping them to contribute effectively to the field of medical data analysis and stroke prevention.</p>\",\"PeriodicalId\":12610,\"journal\":{\"name\":\"Georgian medical news\",\"volume\":\" 359\",\"pages\":\"72-75\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Georgian medical news\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Georgian medical news","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
STATISTICAL TEACHING ON BUILDING STROKE PREDICTION MODELS.
This paper comprehensively elaborates on a statistical teaching design that is intricately centered around the construction of stroke prediction models. Stroke, being one of the foremost causes of death and disability on a global scale, necessitates the development of accurate prediction models, which carry substantial clinical value. This teaching design is meticulously crafted to not only endow students with practical statistical skills but also to deepen their comprehension of the medical applications of statistics. By doing so, it aims to cultivate cross - disciplinary talents who are proficient in both statistical and medical knowledge, equipping them to contribute effectively to the field of medical data analysis and stroke prevention.