ADAPT at the Dublin Institute of Technology has partnered with the Charité - Universitätsmedizin Berlin for an EU funded research project named PRECISE4Q, a study which aims to utilise machine learning software to tailor the acute treatment, rehabilitation, and prevention of strokes for each patient.
The concept of PRECISE4Q centers around computer-based predictive modeling, a form of artificial intelligence (AI) where the software uses manually input prediction models, parameters which outline the model’s factors, and a learning component which adjusts the parameters, to guess a particular outcome. The software grows more “intelligent” with experience as the learner component learns to tune the input parameters for further accuracy.
The objective of the project is to harness this machine learning technology to create a digital clinical platform which outputs reliable predictive stroke diagnostics based on the patient-specific data fed into the program.
The PRECISE4Q research team will be directly involved in the development of the predictive models, the collection of medical data sets, and the quality assessment of the computer’s predictions which will be evaluated by cross-checking outputs with real clinical data collected from medical studies, health registries, and cohort studies.
The funding for this project, provided by Horizon 2020, was secured by Dr. John Kelleher, ADAPT’s leading principal investigator at the Dublin Institute of Technology. Dr. Kelleher’s research focuses on applying machine learning/deep learning techniques, including machine translation and text/image classification to digital content problems. The ADAPT Centre is delighted to be a part of such an innovative, international research convocation, and participate in the European reach for optimising the treatment and recovery strategies of stroke patients.
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