People over the age of 65 have a high chance of tripping and falling, and medication use is most often the cause of this. However, which individuals are most at risk and how can that risk specifically be reduced? The big data project SNOWDROP is developing ways to calculate risks of falling on a case-by-case basis. General practitioners and patients can use this information to jointly decide whether and how they want to adjust the use of medication to prevent falls. This is a project from the Commit2data programme about machine learning and improving doctor-patient consultations.
After a hiatus caused by the worldwide COVID-19 pandemic, we finally had the option of meeting each other again at ICT.OPEN in Amsterdam. We, unfortunately, had to cancel our workshop 'Turn your science into reality on the first day.
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