Development of care decision-making model

Abstract

DIHEML research project ("Development of method for interpretation of health expressions based on machine learning to support various care events and persons", DIHEML) develops measuring of the health condition and quality of life to assist in developing artificial intelligence to support public sector healthcare and wellbeing by addressing the personal needs of the patient. With the valuable support from various collaborators DIHEML research project collects human answers. DIHEML research project aims to develop, test and validate a diverse set of alternative approaches of machine learning to develop new models that can fruitfully support modeling healthcare processes and the decision making about the patient’s care, especially addressing the patient’s personal needs and preferences.