First of all, IBM started smarter planet corporate initiative in 2008. Since that day, IBM has developed and encouraged people to create smarter ideas for smarter planet to develop life standard for human who live all over the world.
Smarter Healthcare is one of the most important areas in this initiative. According to academic studies, people medicine use rate has increased and nearly every one of three elderly patient (in Turkey) take medicines wrong amount and /or in wrong time. Also, one study showed that medicine taking time notification and other technological reminders increase effectiveness of medicines. According to Glaxo Smith Kline, there are over 300 million Chronic Obstructive Pulmonary Disease patients in all over the world.
Our Mobile Health project warns people for medicine intake time and increases effectiveness of medicine. Therefore community health will gain positive impact. Air pollution is a very popular problem especially in the big cities. People who has Chronic Obstructive Pulmonary Disease, are warned with hardware module which connect to mobile phone about air quality.
Furthermore our project focus on an effort for returning unused medicines to public service. There are a lot of unused medicines at the persons and our system easily shares and tracks these medicines to help patient who needs. So That, medicine waste will be decreased and especially poor people can access these medicines without paying money. Our main aim creates a subconscious about healthy life in the community.
At last but not least, our project follows and records daily activities in accordance with calorie information and create reports for doctor or dietitian and supplies a connection from doctor to patient with private messages.
When we design our project, we take into account what we have learned in our courses. This project is associated with three main courses which are Software Engineering, Database Management System and Internet and Mobile Programming at Computer Engineering. Therefore our study group can apply our own knowledge which are learned thanks to courses, on this project.
In this project, we use generally IBM technologies which are DB2 Express C as Database, Websphere Application Server as Application Server and RSA or Eclipse with Worklight as IDE, with Java Programming language except for hardware modules.
IBM provides very good opportunity to the student for making project like this with not only fund but also resources and advanced IBM programs with no cost via IBM academic alliance. Thanks to Wendy Murphy and ‘Students for Smarter Planet’ Family for very selfless helping.
We will publish next writing on April 23. Stay Tuned For Our Next Writing.
 Pinar Akan, Deniz Erdinçler, Vecdet Tezcan, Tanju Beger “Yaşlıda İlaç Kullanımı “ Turkish Journal of Geriatrics Geriatri 2 (1): 33-38, 1999
 Gemma Phillips, Leandro Galli, Louise Watson, Lambert Felix, Phil Edwards, Vikram Patel, Andy Haines, The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review Caroline Free mail, January 15, 2013, PLOS Medicine 2013DOI: 10.1371/journal.pmed.1001362
Watch the video at Bloomberg
Our group works on smarter healthcare project. Our task is to find all repetitive sequences in human and rat chromosomes. Those sequences are called ultra conserved elements (UCE) which highly preserved in genome, remaining unchanged for nearly 300 million years. By setting up our own Hadoop Cluster (one master node and seven data nodes), we can run Java MapReduce program on Large Scale Genome DataSet in short period of time. We designed and implemented our Java MapReduce program to obtain UCE and stored it to HBase.
Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. It has been the buzzword of the last couple years, and many businesses today want to “Get Started with Big Data”.
When I start discussing with clients what they want to do with big data, more often than not I get puzzled looks. It is important to have the preparedness to “get started with big data” by having:
- Pinpointed a line of business in the company to get started with the use cases
- Identified use cases that serves a true business needs within that line of business
- Verified that there’s indeed large amounts of meaningful data available to support the use cases
Above is the snapshot of the mindmap showing some sample use cases. You can download the original mindmap from the links at the original post.