M. A. Ovchinnikova, Yu. I. Zhilenkova, N. Yu. Chernysh
{"title":"Аpplication of Big Data in laboratory medicine. Russian Journal for Personalized Medicine","authors":"M. A. Ovchinnikova, Yu. I. Zhilenkova, N. Yu. Chernysh","doi":"10.18705/2782-3806-2023-3-4-77-87","DOIUrl":null,"url":null,"abstract":"The term “big data” (Big Data) refers to data sets, covering the excessive difference in differences between databases in the storage, management and analysis of information. The emergence of big data application algorithms has become the consumption of resources that use resource resources for information processing and computer calculations for the purpose of big data for statistical processing, analysis, forecasting and decision making. In laboratory practice, with a large amount of practical digital information, the use of big data is not currently widespread. The purpose of this work is to conduct a retrospective review of the literature on the use of big data in the field of laboratory medicine in the period 2018–2023. and evaluating the results of practical developments, benefits and achievements associated with big data analytics in the field of laboratory.","PeriodicalId":499018,"journal":{"name":"Russian Journal for Personalized Medicine","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Russian Journal for Personalized Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18705/2782-3806-2023-3-4-77-87","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The term “big data” (Big Data) refers to data sets, covering the excessive difference in differences between databases in the storage, management and analysis of information. The emergence of big data application algorithms has become the consumption of resources that use resource resources for information processing and computer calculations for the purpose of big data for statistical processing, analysis, forecasting and decision making. In laboratory practice, with a large amount of practical digital information, the use of big data is not currently widespread. The purpose of this work is to conduct a retrospective review of the literature on the use of big data in the field of laboratory medicine in the period 2018–2023. and evaluating the results of practical developments, benefits and achievements associated with big data analytics in the field of laboratory.