In the Netherlands, 5% of people suffer from depression each year. Various treatments for depression are currently available, with the outcome varying from patient to patient. We know that some patient characteristics (e.g. age, severity of illness, history of illness, support from the environment) can influence the treatment outcome. The I-SHARED project is a research project that focuses on shared decision making between patient and clinician within the psychiatry department of the University Medical Center Groningen (UMCG).
Within this project, the focus lies on the development of an instrument that supports the choice of treatment for depression. The I-SHARED instrument uses various socio-demographic and clinical data to provide a personalised overview of possible treatments. The challenge within this project was how to combine this data into a good machine learning model that then automatically generates a personalised report that the patient and practitioner can then use to choose the treatment plan.
Researchable contributed to the development of a machine learning-based decision making tool. In addition, Researchable delivered a microservice architecture structure for the generation of visualizations and reports for patients and practitioners. Based on these personalized reports, the practitioner and the patient enter into a dialogue to determine what could be the best treatment.