Mark van Gils

University of Tampere

Finland

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Articles (20)

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Collaborators (25)

Tunc Asuroglu

University of Tampere

FINLAND

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Moncef Gabbouj

University of Tampere

FINLAND

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Daniel Aiham GHAZALI

Université de Picardie Jules Verne

FRANCE

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Mikko Niemi

FINLAND

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Jari Hyttinen

University of Tampere

FINLAND

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Anna-Leena Vuorinen

University of Helsinki

FINLAND

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Hannu Nieminen

University of Tampere

FINLAND

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Jordi Carrabina

Universitat Autònoma de Barcelona (UAB)

SPAIN

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Piia Lavikainen

University of Eastern Finland

FINLAND

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Peter Hutchinson

Professor of Neurosurgery

University of Cambridge

UNITED KINGDOM

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Diego Prior

Universitat Autònoma de Barcelona (UAB)

SPAIN

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Annariina Koivu

University of Tampere

FINLAND

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Jussi Aleksi Hernesniemi

University of Tampere

FINLAND

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Víctor Giménez

Universitat Autònoma de Barcelona (UAB)

SPAIN

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Sea Bez

Associate Professor

University of Montpellier

FRANCE

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Pedro A. Moreno-Sanchez

University of Tampere

FINLAND

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Diogo Branco

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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Alpo Värri

University of Tampere

FINLAND

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Mika Lehto

FINLAND

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Antti Vehkaoja

University of Tampere

FINLAND

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Antti Kallonen

University of Tampere

FINLAND

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Jussi Pihlajamäki

University of Eastern Finland

FINLAND

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Josep Rialp

Universitat Autònoma de Barcelona (UAB)

SPAIN

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Tanja Tilles‐Tirkkonen

FINLAND

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Markus M Forsberg

Research Professor, Preventive and Predictive Health

FINLAND

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Mark van Gils

Research Interests

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Articles (20)

Blood biomarkers to identify patients with different intracranial lesion combinations after traumatic brain injury

Digitaalisen kaksosteknologian hyödyntäminen terveydenhuollossa

Innovative approaches to collecting, aggregating, and analyzing adverse drug events in smart hospitals

Development and Clinical Interpretation of an Explainable AI Model for Predicting Patient Pathways in the Emergency Department

Cluster Analysis Reveals Subgroups with Different Risk Profiles and Sickness Absence Patterns in an Occupational Health Cohort

Walking detection for Parkinson’s disease patients and healthy control subjects measured with a smartphone accelerometer using mean amplitude deviation algorithm

Defining functional requirements for a self-management solution for Hypertrophic Cardiomyopathy patients

Multilevel modelling for decision support in hypertrophic cardiomyopathy in the SMASH-HCM project

ECG-based data-driven solutions for diagnosis and prognosis of cardiovascular diseases

Associations of depressive symptoms and psychosocial working conditions with sickness absences in a Finnish cohort of 11,495 employees

Transformers for cardiac patient mortality risk prediction from heterogeneous electronic health records

CYP3A4*22 may increase bleeding risk in ticagrelor users

Value capture and embeddedness in social-purpose-driven ecosystems

Artificial intelligence research in the COVend COVID-19 clinical trial project

Trajectories of interleukin 10 and heart fatty acid-binding protein levels in traumatic brain injury patients with or without extracranial injuries

Assessing fatigue and sleep in chronic diseases using physiological signals from wearables

A smart hospital-driven approach to precision pharmacovigilance

DiHECO – Digital healthcare ecosystem research and networking

Digitally Supported Lifestyle Intervention to Prevent Type 2 Diabetes Through Healthy Habits

A Comprehensive User Modeling Framework and a Recommender System for Personalizing Well-Being Related Behavior Change Interventions: Development and Evaluation

Collaborators (25)

Tunc Asuroglu

Moncef Gabbouj

Daniel Aiham GHAZALI

Mikko Niemi

Jari Hyttinen

Anna-Leena Vuorinen

Hannu Nieminen

Jordi Carrabina

Piia Lavikainen

Peter Hutchinson

Diego Prior

Annariina Koivu

Jussi Aleksi Hernesniemi

Víctor Giménez

Sea Bez

Pedro A. Moreno-Sanchez

Diogo Branco

Alpo Värri

Mika Lehto

Antti Vehkaoja

Antti Kallonen

Jussi Pihlajamäki

Josep Rialp

Tanja Tilles‐Tirkkonen

Markus M Forsberg

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