Activity: Talk or presentation types › Oral presentation › Professional
Description
Every day, an average of five people die by suicide in the Netherlands, with many more attempts. Predicting suicidal behavior is challenging due to its complex nature. Healthcare has been experimenting with algorithms, such as those predicting aggression or medication efficacy. At GGzE, an algorithm has been developed to predict suicidality based on data collected in electronic health records, including observations from staff and medication information. This algorithm predicts the likelihood of a client attempting suicide within a month.
During the seminar, Chantal van der Velden-Van Laarhoven (Business Information Manager at GGzE) will discuss the use and development of algorithms in healthcare. Linda Hummel (psychologist/science practitioner) will then present her PhD research on the implementation of AI in mental healthcare, focusing on the development and clinical application of the suicide risk prediction tool at GGzE.