Quantifying daily rhythms with non-negative matrix factorization applied to mobile phone data

T Aledavood, I Kivimäki, S Lehmann, J Saramäki - Scientific reports, 2022 - nature.com
Human activities follow daily, weekly, and seasonal rhythms. The emergence of these
rhythms is related to physiology and natural cycles as well as social constructs. The human …

[PDF][PDF] Clustering of radiotherapy patients based on the usage patterns in the Kaiku Health application and electronic patient-reported outcomes

J Savander - 2023 - aaltodoc.aalto.fi
Cancer can be treated with many different methods, but all of them cause side effects that
affect the quality of life of the patient. These side effects can be monitored and collected …

[PDF][PDF] Classification of patients with depression and healthy controls based on behavioural patterns acquired from smartphone sensor data

A Hakala - 2021 - aaltodoc.aalto.fi
Mental health disorders comprise one of the highest burdens of disease in the world, and
therefore it is important to use effective prevention methods and improve the treatment of …

Cluster analysis of cancer patients' initial session patterns in a patient portal application

M Weiss - 2024 - aaltodoc.aalto.fi
The rising number of cancer patients creates a need for more efficient follow-up of cancer
treatment as well as communication between cancer patients and their healthcare providers …

[PDF][PDF] Prédiction de la Détérioration Du Comportement À L'aide de L'apprentissage Automatique

JMK Tshimula - 2022 - savoirs.usherbrooke.ca
Les plateformes de médias sociaux rassemblent des individus pour interagir de manière
amicale et civilisée tout en ayant des convictions et des croyances diversifiées. Certaines …

Exploring Behavioral Patterns of Patients with Mental Disorders Using the MoMo-Mood Dataset

A Ziaei Bideh - 2022 - aaltodoc.aalto.fi
Mental disorders are major problems for people's wellbeing in societies due to the
increasing the amount of stress and challenges of living in modern cities. Understanding …