Development of care decision-making model

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© 2021 Lauri Lahti.

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Journal Title

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Volume Title

School of Science | D4 Julkaistu kehittämis- tai tutkimusraportti tai -selvitys

Date

2021

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Mcode

Degree programme

Language

en

Pages

2

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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.

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Keywords

personalized care, decision making, machine learning, artificial intelligence, patient, disabled, health, learning

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Citation

Lahti, Lauri. 2021. Development of care decision-making model. 2.