Applications of Big Data and Deep Learning in HealthCare Industry from Disease Detection to Cost Reduction
محل انتشار: سیزدهمین کنفرانس بین المللی مهندسی صنایع
سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 419
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شناسه ملی سند علمی:
IIEC13_345
تاریخ نمایه سازی: 14 شهریور 1396
چکیده مقاله:
Big Data Analytics and Deep Learning are two high-focus of data science. A key benefit of Deep Learning is the analysis and learning of massive amounts of unsupervised data, making it a valuable tool for Big Data Analytics where raw data is largely unlabeled and un-categorized. As the data keeps getting bigger, deep learning is coming to play a key role in providing big data predictive analytics solutions. Nowadays, many complex processes can generate big data, for example, there are a greater number of Healthcare industry than ever before, collecting many terabytes of data per day. Today we use deep learning method for identifying Metastatic Breast Cancer, recurrent neural cascade model for automated image annotation or predict healthcare-associated infections. In this paper, we provide a brief overview of big data and deep learning, and some of its applications in the field of health care are mentioned.
کلیدواژه ها:
نویسندگان
M Seifolahzadeh
MSc Student of Computer Engineering, Mazndaran university of science and technology, Babol, Iran
N Chitgar
MSc Student of Computer Engineering, Mazndaran university of science and technology, Babol, Iran
R Abbasnejad
epartment of Computer Engineering, Mazndaran university of science and technology, Babol, Iran
M Ahangaran
PhD Student of Computer Science, Iran University of Science and Technology