Kaggle: Predicting Parkinson’s Disease Progression with Smartphone Data
Can we objectively measure the symptoms of Parkinson's disease with a smartphone? Michael J. Fox Foundation developed a data collection app that uses smartphone sensors, and collected data from a group of Parkinson's patients and control subjects. Enter by Mar 26 and help millions of Parkinson's patients.
[Gregory PS, Editor this competition strikes close to home, since my father suffered for almost 30 years from Parkinson's. Parkinson's is among the most common diseases among elderly, with about 7-10 million people in the world living with Parkinson's. Hopefully, earlier detection can help lead to better treatment and perhaps a cure. ]
There are many symptoms and features of Parkinson's disease which can be objectively measured and monitored using simple technology devices we carry every day. Mobile phones are some of the most pervasive forms of monitoring devices, with many smartphones carrying basic sensors that can be used to give a window into a patient's life. We have taken the initial steps with such a device, developing a basic collection application, and collecting data from a group of Parkinson's patients and control subjects.
Now the challenge is on you to determine the best way to use it!
The challenge is to develop a way to help patients and clinicians using objective, passively collected data points. The goal is to use the provided data to distinguish PD patients from control subjects and/or to quantify PD symptoms in a way that could enable the measurement of disease progression.
You are invited to submit an entry showing the way you would use the data to describe a solution that addresses the objectives of the contest, including next steps to be done if more data were available.
ENTRY DEADLINE: March 26, 2013, 11:59 PM EST
Share your participation and progress online: #PDdata