{"product_id":"9789819248834","title":"Early Intelligent Identification of Diabetic Complications","description":"\u003ch1\u003eEarly Intelligent Identification of Diabetic Complications\u003c\/h1\u003e\u003ch3\u003eShuli Guo | Lina Han | Yanan Guo\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Artificial Intelligence \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\u003cp\u003e\u003cspan class=\"TextRun SCXW167664750 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eThis book delves into the \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eAI \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003epractical application in the \u003c\/span\u003e\u003cspan class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003ea\u003c\/span\u003e\u003cspan class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003essociation\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003ep\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eatterns \u0026amp; \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003ep\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003erediction \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003em\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eodels of \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003ed\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eiabetes \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003ec\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eomplications. In view of dataset preprocessing and clustering, a fusion clustering algorithm is proposed in combination with the self-organizing map neural network, and the superiority of the improved algorithm is proved through comparative experiments, overcoming the sensitive clustering centers and uncertain number of clustering categories of the traditional fuzzy c-means algorithm. \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eFor\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003edesign\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eing the association pattern of diabetic complications based on the improved \u003c\/span\u003e\u003cspan class=\"NormalTextRun SpellingErrorV2Themed SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eApriori\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e algorithm, matrix compression parallelization \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eis\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e investigated to improve the mining efficiency of the \u003c\/span\u003e\u003cspan class=\"NormalTextRun SpellingErrorV2Themed SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eApriori\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e algorithm. At the same time, the PS interest degree \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eis\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e improved by combining subjective factors and \u003c\/span\u003e\u003cspan class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003erule\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e credibility, and the IPSR interest degree measurement \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003ei\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003es proposed to ensure the effectiveness of the mining results. Then, a diabetes complication prediction model \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003ei\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003es \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eestablished\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e based on the improved least squares support vector machine. The sparrow search algorithm \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eis\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e used to optimize the model parameters, the prediction deviation is corrected in combination with the deep belief network to further improve the prediction accuracy, and the particle swarm optimization algorithm is used to realize the adaptive selection of the network structure. At last, an intelligent early warning system using the Vue.js framework and the Flask framework for diabetes complications \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003ei\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003es designed, \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003ewhich \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003erealiz\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003ees the following\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW167664750 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e functions such as visualization of common diabetes’ complication association patterns, prediction of diabetes complications, and query of diabetes patient information.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cstrong\u003eShuli Guo\u003c\/strong\u003e is a full professor of Beijing Institute of Technology, the head of China geriatric disease standardized diagnosis and treatment society of CAGG, and a member of Chinese national technical committee for professional standardization. He was born in 1973 in Inner Mongolia, P.R. China. He received his bachelor’s degree (1995) and master’s degree (1998) from Inner Mongolia Normal University and his Ph.D. degree from Peking University (2001), and worked as a postdoctoral researcher from January 2002 to April 2004 at Tsinghua University, as a researcher fellow from January 2008 to September 2008 at Akita Prefectural University, and as a postdoctoral researcher from September 2008 to September 2009 at Oxford University. His research interests include medical image\/data analysis, typical chronic disease analysis, and remote health monitoring. Recently, he has chaired 7 Chinese national standards and 5 Chinese industrial standards, more than 80 impactful papers, 7 monographs, 55 authorized Chinese patents, and 23 authorized software copyrights. He obtained the second prize for Beijing Municipal Government, the third prize for military medical achievements, the third prize of science and technology of the Chinese Medical Association, and the third prize of Beijing Medical Science and Technology. \u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003eLina Han\u003c\/strong\u003e is a research fellow in the Department of Cardiovascular Internal Medicine, the Second Medicine Center of Chinese PLA General Hospital, and Chinese PLA Medical School. She was born in 1973 in Jilin Province, P.R. China. She received her bachelor’s degree in medicine (1995), master’s degree in medicine (2000), and Ph.D. degree (2003) from Jilin University. She worked as a postdoctoral researcher from July 2003 to April 2005 at Chinese PLA General Hospital and as a research fellow from August 2008 to September 2009 at Kyoto University. Her research interests focus on many 3D modeling on cardiovascular systems, digital and intelligent management on chronic diseases and comorbidities in the elderly, and their medical solutions. Recently, she has published more than 100 impactful papers, 8 monographs, 50 authorized Chinese patents, 25 authorized software copyrights, and 7 Chinese national standards and 5 Chinese industrial standards. She obtained the first prize for Hainan Municipal Government, the second prize for Beijing Municipal Government, the first prize for military medical achievements, etc. \u003c\/p\u003e\r\n\u003cp\u003e\u003cspan class=\"NormalTextRun SCXW223177580 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e\u003cstrong\u003eMs. Yanan Guo\u003c\/strong\u003e works as a software development \u003c\/span\u003e\u003cspan class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW223177580 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eengineer, and\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW223177580 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e currently serves as a member of the China Geriatric Disease Standardized Diagnosis and Treatment Society of CAGG.\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW223177580 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e She \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW223177580 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003ewas born in 2000 in Shandong, P. R. China. She received her bachelor’s degree (2021) from Shandong University, and \u003c\/span\u003e\u003cspan class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW223177580 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003emaster’s\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW223177580 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e degree (2024) from Beijing Institute of Technology. Her research field is the application of AI technology in health care, \u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW223177580 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003eand the\u003c\/span\u003e\u003cspan class=\"NormalTextRun SCXW223177580 BCX0\" data-ccp-parastyle=\"Normal (Web)\"\u003e prediction of diabetes complications based on machine learning.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e11 January 2027\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Singapore\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9789819248834\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":51562261119116,"sku":"9789819248834","price":161.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9789819248834","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}