International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
PRIVATE HIDDEN DATA FOR HEALTH CARE Zainulabedin Shaikh, Smita Dhawane, Shadab Khan, Swapnil Kharat Prof. Pavan Kulkarni, Dept. Of Computer Engineering, Trinity College of Engineering and Research, Pune University, Pune, India ---------------------------------------------------------------------***--------------------------------------------------------------------ABSTRACT - This paper provides an understanding of how 2. LITERATURE SURVEY we can collect healthcare data digitally like patient's records , doctor’s details and how we can produce useful data from these records by using analytics techniques and tools which will help patients as well as doctors to save time and money. It generates huge amount of heterogeneous data from diverse sources like patients laboratory test result, medical equipment, health insurance data, drug research, social media, genome study, clinical report, health records, transactions from multiple hospitals. Data analytics is used to manage this data, make it useful for retrieval. Therefore the concept of "big data" can be applied. Big data is characterized as tremendously huge data sets that can be estimated computationally to find trends, patterns, and associations, querying, visualization, predictive analytics and information privacy on large wide spread collection of data.
2.1 BIG DATA IN HEALTHCARE: CHALLENGES AND OPPORTUNITIES Nowadays huge amounts of healthcare data is generating by use of Mobile phones, patients, sensors, researchers, hospitals, organizations and providers. To make people's lives healthier and easier healthcare systems find, manage, analyze and collect information, by contributing and understand new therapies and diseases but also to predict outcomes at earlier stages and make real-time decisions. This explain the benefits of big data to healthcare and discover how it empowers patients and improves treatment, researchers and providers.
Key Words: Big Data, Hadoop, Hive, Data Mining, Clustering, Tomcat, Big Data Analytics.
We define the skill of authenticity mining in collecting large amounts of data to recognize predict outcomes, detect people's habits and illustrate the profits of big data analytics.[2]
1. INTRODUCTION
2.2 PREDICTIVE HEALTHCARE
Big data is defined as large data sets or complex data where traditional data processing applications are insufficient to deal with them.
Impact Factor value: 5.181
ANALYTICS
IN
The traditional database designs cannot face the challenge with huge data, which is generating in organizations today, and it creates a big havoc.
Big data is being generated by the whole thing around us at all times. Every social media and exchange digital process produces it. Systems, mobile devices and sensors transmit it. Big data is incoming from multiple sources at startling variety, velocity and volume. To remove meaningful value from big data, you need analytics capabilities skills and optimal processing power.
|
DATA
Nowadays in world the enormous set of data is produced from different organizations all over the world. This large and heterogeneous data is called Big Data. Big Data Analytics provides tremendous visions to different organizations especially in healthcare.
Big data is describes as the huge size of data – both structured and unstructured – that helps a business on a daily basis. But important thing is not the amount of data collected. The important thing is what organization do with data. Big data can be analyzed for insights that lead to better decisions and strategic business moves.
© 2017, IRJET
BIG
In achieving predictive analysis in the healthcare domain Big Data plays an important role. Big Data can handle huge explosion of data, which is found in medical organizations. This paper provides an overview of retrieving and storing methods, Big Data techniques and tools used in healthcare clouds, part of Big Data Analytics in healthcare and discusses the benefits, faces challenges and offers solutions.[2]
|
ISO 9001:2008 Certified Journal
| Page 2722