Mynapati Lakshmi Prasudha, Rakesh Kasumolla, D. Sukheja
{"title":"研究综述:利用计算技术识别和分类肾脏疾病","authors":"Mynapati Lakshmi Prasudha, Rakesh Kasumolla, D. Sukheja","doi":"10.1109/ICCMC51019.2021.9418454","DOIUrl":null,"url":null,"abstract":"It has been seen that in the last one decade, AI/ML/DL has been considered a core research area in healthcare as it is already known that kidney is one among the important internal body organs that helps in regulation of fluid within the body to remove the unwanted waste materials. Furthermore, it becomes more difficult to detect early on by normal clinical process. Many researchers have focused their work to identify the kidney disease or classify the kidney disease using computational technology because of the mortality rate is very high in kidney patients. Primary focus of this paper is reviewing the current research work based on computational advancement in the area of kidney disease and also identify the gaps or future scope to identify and predict the kidney disease at earlier stage.","PeriodicalId":131747,"journal":{"name":"2021 5th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research Reviews: Towards Identification and Classification Kidney Disease using Computational Technology\",\"authors\":\"Mynapati Lakshmi Prasudha, Rakesh Kasumolla, D. Sukheja\",\"doi\":\"10.1109/ICCMC51019.2021.9418454\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It has been seen that in the last one decade, AI/ML/DL has been considered a core research area in healthcare as it is already known that kidney is one among the important internal body organs that helps in regulation of fluid within the body to remove the unwanted waste materials. Furthermore, it becomes more difficult to detect early on by normal clinical process. Many researchers have focused their work to identify the kidney disease or classify the kidney disease using computational technology because of the mortality rate is very high in kidney patients. Primary focus of this paper is reviewing the current research work based on computational advancement in the area of kidney disease and also identify the gaps or future scope to identify and predict the kidney disease at earlier stage.\",\"PeriodicalId\":131747,\"journal\":{\"name\":\"2021 5th International Conference on Computing Methodologies and Communication (ICCMC)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 5th International Conference on Computing Methodologies and Communication (ICCMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMC51019.2021.9418454\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 5th International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC51019.2021.9418454","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research Reviews: Towards Identification and Classification Kidney Disease using Computational Technology
It has been seen that in the last one decade, AI/ML/DL has been considered a core research area in healthcare as it is already known that kidney is one among the important internal body organs that helps in regulation of fluid within the body to remove the unwanted waste materials. Furthermore, it becomes more difficult to detect early on by normal clinical process. Many researchers have focused their work to identify the kidney disease or classify the kidney disease using computational technology because of the mortality rate is very high in kidney patients. Primary focus of this paper is reviewing the current research work based on computational advancement in the area of kidney disease and also identify the gaps or future scope to identify and predict the kidney disease at earlier stage.