Effective of Smart Mathematical Model by Machine Learning Classifier on Big Data in Healthcare Fast Response
Author(s) -
Mahmoud Ahmad AlKhasawneh,
Amal Bukhari,
Ahmad M. Khasawneh
Publication year - 2022
Publication title -
computational and mathematical methods in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 48
eISSN - 1748-6718
pISSN - 1748-670X
DOI - 10.1155/2022/6927170
Subject(s) - big data , computer science , health care , benchmark (surveying) , artificial intelligence , machine learning , process (computing) , classifier (uml) , data mining , data science , geodesy , geography , economics , economic growth , operating system
In the past few years, big data related to healthcare has become more important, due to the abundance of data, the increasing cost of healthcare, and the privacy of healthcare. Create, analyze, and process large and complex data that cannot be processed by traditional methods. The proposed method is based on classifying data into several classes using the data weight derived from the features extracted from the big data. Three important criteria were used to evaluate the study as well as to benchmark the current study with previous studies using a standard dataset.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom