Open AccessIntegrating Big Data With Medical Imaging
Author(s) -
Rasdianah,
Fabian N.J. Souisa,
Iwan Kurniawan Subagja,
Budi Tri Rahardjo,
Wenny Anggeresia Ginting,
K. Shankar,
Phong Thanh Nguyen
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1133.0986s319
Subject(s) - big data , data science , leverage (statistics) , health informatics , computer science , analytics , health care , predictive analytics , informatics , field (mathematics) , data mining , artificial intelligence , engineering , mathematics , pure mathematics , electrical engineering , economics , economic growth
it can consider that big data is massive amount of information that work wonderfully. Due to great potential that it has from last two decades this topic is taking special interest. In any industry the way in which it leverage, manage and analyze can change. The most promising field in which big data use for making the change is healthcare industry. For health-care and biomedical informatics research it increasingly used the technologies of big data. For certain advanced data analytics methods, predictive analytics and user behavior analytics the term big data used. At an unprecedented scale and speed huge amount of clinical and biological data have been collected and generated. For big data in the industry of healthcare the several sources incorporate medical examinations results, hospital records, devices and patients medical records that are a piece of internet of things. In medical imaging it also finds its usages. In order to treat, diagnose or monitor medical conditions to view the human body the various technologies that are used referred as medical imaging.