{"title":"利用GH-Method:数学-物理医学研究代谢性疾病诱发心血管疾病、中风和肾脏并发症的风险概率","authors":"Gerald C. Hsu","doi":"10.47363/jcrrr/2020(1)111","DOIUrl":null,"url":null,"abstract":"Volume 1(2): 1-4 Introduction The author uses GH-Method: math-physical medicine (MPM) approach to investigate two clinical cases A and B of risk probability on metabolic disorders induced cardiovascular diseases (CVD) or stroke (“Risk”). He addresses the multiple correlations among three metabolic bio markers, i.e. body weight, glucose, and blood pressure (BP), which are also closely related to both CVD and stroke. He further examines Case A’s bladder and renal complications due to diabetes and hypertension.","PeriodicalId":430938,"journal":{"name":"Journal of Cardiology Research Review & Reports","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Using GH-Method: Math-Physical Medicine to Investigate the Risk Probability of Metabolic Disorders Induced Cardiovascular Diseases, Stroke, and Renal Complications\",\"authors\":\"Gerald C. Hsu\",\"doi\":\"10.47363/jcrrr/2020(1)111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Volume 1(2): 1-4 Introduction The author uses GH-Method: math-physical medicine (MPM) approach to investigate two clinical cases A and B of risk probability on metabolic disorders induced cardiovascular diseases (CVD) or stroke (“Risk”). He addresses the multiple correlations among three metabolic bio markers, i.e. body weight, glucose, and blood pressure (BP), which are also closely related to both CVD and stroke. He further examines Case A’s bladder and renal complications due to diabetes and hypertension.\",\"PeriodicalId\":430938,\"journal\":{\"name\":\"Journal of Cardiology Research Review & Reports\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cardiology Research Review & Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47363/jcrrr/2020(1)111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cardiology Research Review & Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47363/jcrrr/2020(1)111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using GH-Method: Math-Physical Medicine to Investigate the Risk Probability of Metabolic Disorders Induced Cardiovascular Diseases, Stroke, and Renal Complications
Volume 1(2): 1-4 Introduction The author uses GH-Method: math-physical medicine (MPM) approach to investigate two clinical cases A and B of risk probability on metabolic disorders induced cardiovascular diseases (CVD) or stroke (“Risk”). He addresses the multiple correlations among three metabolic bio markers, i.e. body weight, glucose, and blood pressure (BP), which are also closely related to both CVD and stroke. He further examines Case A’s bladder and renal complications due to diabetes and hypertension.