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10.1155/2021/8924293 http://scihub22266oqcxt.onion/10.1155/2021/8924293 34422097!8378954!34422097     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\34422097.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Comput+Math+Methods+Med 2021 ; 2021 (ä): 8924293 Nephropedia Template TP {{tp|p=34422097|t=2021. Research on Key Technologies of Personalized Intervention for Chronic Diseases Based on Case-Based Reasoning |pdf=|usr=}}{{34422097}} gab.com Text Research on Key Technologies of Personalized Intervention for Chronic Diseases Based on Case-Based Reasoning JO: Comput Math Methods Med http://www.kidney.de/pget.php?&tw=1&pmid=34422097 #FOAvip In recent years, with the acceleration of industrialization, urbanization, and aging process, the number of patients with chronic diseases in the world is increasing year by year. In China, the number of chronic diseases has increased tenfold in 10 years. The percentage of the disease burden in the whole society accounts for 79.4%. Chronic diseases have become the top killer for Chinese people's health. However, for chronic diseases, prevention is more important than treatment. It is the best way to keep healthy. Therefore, health intervention is the key to prevent chronic diseases. Especially now, with the spread of COVID-19 pandemic, reducing the times of hospital check-ups and treatments for chronic patients is practically significant for releasing the stress on medical staffs and decreasing the rate of transmission and infection of COVID-19. In this paper, case-based reasoning (CBR) technology is used to assist personalized intervention for chronic diseases, and the key technologies of personalized intervention for chronic diseases based on case-based reasoning are proposed. The case organization, case retrieval, and case retention techniques of CBR technology in chronic disease personalized intervention are designed, and the calculation of interclass dispersion is added to the distribution of feature words, which is used to describe the distribution of feature attributes in different categories of cases. It provides an effective method for the establishment of personalized intervention model for chronic disease. Twit Text FOAVip Research on Key Technologies of Personalized Intervention for Chronic Diseases Based on Case-Based Reasoning ????Comput Math Methods Med http://www.kidney.de/pget.php?&tw=1&pmid=34422097 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34422097 #FOAvip English Wikipedia <ref>{{Cite pmid|34422097}}</ref> Research on Key Technologies of Personalized Intervention for Chronic Diseases Based on Case-Based Reasoning #MMPMID34422097 Zhang L; Qi P Comput Math Methods Med 2021[]; 2021 (ä): 8924293 PMID34422097show ga In recent years, with the acceleration of industrialization, urbanization, and aging process, the number of patients with chronic diseases in the world is increasing year by year. In China, the number of chronic diseases has increased tenfold in 10 years. The percentage of the disease burden in the whole society accounts for 79.4%. Chronic diseases have become the top killer for Chinese people's health. However, for chronic diseases, prevention is more important than treatment. It is the best way to keep healthy. Therefore, health intervention is the key to prevent chronic diseases. Especially now, with the spread of COVID-19 pandemic, reducing the times of hospital check-ups and treatments for chronic patients is practically significant for releasing the stress on medical staffs and decreasing the rate of transmission and infection of COVID-19. In this paper, case-based reasoning (CBR) technology is used to assist personalized intervention for chronic diseases, and the key technologies of personalized intervention for chronic diseases based on case-based reasoning are proposed. The case organization, case retrieval, and case retention techniques of CBR technology in chronic disease personalized intervention are designed, and the calculation of interclass dispersion is added to the distribution of feature words, which is used to describe the distribution of feature attributes in different categories of cases. It provides an effective method for the establishment of personalized intervention model for chronic disease. |*Algorithms[MESH] |*Precision Medicine[MESH] |COVID-19/epidemiology/prevention & control/transmission[MESH] |China/epidemiology[MESH] |Chronic Disease/*prevention & control[MESH] |Computational Biology[MESH] |Humans[MESH] |Mathematical Concepts[MESH] |Models, Biological[MESH] |Pandemics/prevention & control[MESH] |Problem Solving[MESH]Research on Key Technologies of Personalized Intervention for Chronic (epmc).pdf DeepDyve Pubget Overpricing