BIG DATA WITH I.O.T. IN

HEALTHCAREBY:-FAIMIN KHAN

NIKHIL SINGH

SAIF SAYYED

AYSHAN MAREDIA

Under Guidance of :- Dr. Ashfaq Shaikh Er.

Farzana Shaikh

CONTENT1. INTRODUCTION2. SCOPE3. EXISTING SYSTEM4. PROPOSED SYSTEM5. TECHNOLOGY 6. KEY FEATURES

1.INTRODUCTION• Nowadays Big Data is playing very important role in Day-to-Day life from

Social Network to Educaion,From Banking to Business then Why not in healthcare.• Mobile phones, sensors, patients, hospitals, researchers, providers and

organizations are nowadays generating huge amounts of healthcare data. The real challenge in healthcare systems is how to find, collect, analyze and manage information to make people's lives healthier and easier• By contributing not only to understand new diseases and therapies but

also to predict outcomes at earlier stages and make real-time decisions

2.SCOPE• Potential benefits include detecting diseases at earlier

stages when they can be treated more easily and effectively; managing specific individual and population health and detecting health care fraud more quickly and efficiently.• The Development of Project for Healthcare Which Provide

Benefits to Patients, Healthcare Providers, Researchers and Developers.• It also Recommend the Exercises and Diet to Patients.

3.PROBLEM STATEMENT

• We have already experienced a decade of progress in digitizing medical records, as pharmaceutical companies and other organizations aggregate years of research and development data in electronic databases.

• The federal government and other public stakeholders have also accelerated the move toward transparency by making decades of stored data usable,searchable,and actionable by the healthcare sector as a whole.

• Here the data is been collected from the various digital sources like database of hospital,small clinic And other sources or the research purpose and it is been done by medical company to see which product they have to sell in which particular market.

4.PROPOSED SYSTEM

• Our system get the data from various IOT devices like smart watch etc. and collect that data and stored it using an Hadoop architecture it also collect data from hospital clinic and medical stored .

• We use Apache Cassandra database which is the right choice when you need scalability and high availability without compromising performance.

• It provides support for replicating across multiple datacentres is best-in-class, providing lower latency for your users .

• It represent the data in a simple way by using R programming so it can be easily understand by the analysed and government people.

5.TECHNOLOGY

5.1 BIG DATA5.1.1 HADOOP5.1.2 CASSANDRA5.1.3 R PROGRAMMING

5.2 IOT5.3 Cloud

How does Cassandra compare to HBase?Hbase is sometimes used for an online application because an existing Hadoop

implementation exists at a site and not because it is the right fit for the application. HBase is typically not a good choice for developing always-on online applications and is nearly 2-3 years behind Cassandra in many technical respects.

In comparison to HBase, Cassandra supplies:

✓Higher performance

✓True continuous, “always on” availability with no single point of failure

✓Powerful and easy multi-data center / cloud availability zone support

✓A simpler architecture (masterless) with easier setup and fewer requirements

✓Easier development (SQL-like language with CQL, more)

6. KEY FEATURES

•Classification.•Security.•Web Application.•Graph Display For Comparison.•Recommendation Engine.

IOT DEVICES DATABASE

HDFS

IOT DEVICES DATABASE

SERVER

STORAGE

ANALYSIS

CASSANDRAHDFS

STORAGE

ANALYSIS

CASSANDRAHDFS R-PROGRAMMING

STORAGE REPRESENTATION

CURRENTLY WE ARE WORKING ON PROBLEM STATEMENT GIVEN BY

MASTEK “PROJECT DEEP BLUE SEASON 2”IMPROVING THE QUALITY OF HEALTH CARE SERVICES

THANK YOU!