Nearly one in six people suffer from neurological disorders such as Parkinsons. Researchers at Duke University are developing a model to predict early onset of such conditions.
Data from search logs was used to check for * Symptom or synonym related search * Motor symptoms such as cursor movements, including speed, direction changes, tremors * Presence of repeat queries and result clicks * Other risk factors such as age, gender or prior trauma, etc. Using this data researchers have found promising results in using search patterns to predict onset of PD.
Deidentified logs of United States search activity from the Microsoft Bing web search engine, of 31,321,773 English speaking search engine users.
During research phase, Classifier sensitivities for PD detection are 94.2/83.1/42.0/34.6% at false positive rates (FPRs) of 20/10/1/0.1%