Vahid Farrahi

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University of Oulu

Finland

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Large cohort analysis on the association and Interaction between physical activity, sedentary behavior, and health

Open Date: 2016-06-01

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Articles (18)

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2021

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2021

Collaborators (7)

Tiina Maria Ikäheimo

Professor

UiT The Arctic University of Norway

NORWAY

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Antti Kiviniemi

University of Oulu

FINLAND

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Timo Jämsä

Professor in Medical Technology

University of Oulu

FINLAND

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Marko Korhonen

University of Oulu

FINLAND

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Mourad Oussalah

Senior Research Fellow / Prof

University of Oulu

FINLAND

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Raija Korpelainen

University of Oulu

FINLAND

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Jaana Kari

Senior Lecturer

University of Jyväskylä

FINLAND

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Vahid Farrahi

Research Interests

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Recent Grants

Articles (18)

A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning

A novel healthy food recommendation to user groups based on a deep social community detection approach

Associations of Wearable Ring Measured Sleep, Sedentary Time, and Physical Activity With Cardiometabolic Health: A Compositional Data Analysis Approach

Deep learning of movement behavior profiles and their association with markers of cardiometabolic health

Regularity of bedtime, wake-up time, and time in bed in mid-life: associations with cardiometabolic health markers with adjustment for physical activity and sedentary time

Physical activity, residential greenness, and cardiac autonomic function

Artificial Intelligence and Machine Learning—Powerful Yet Underutilized Tools and Algorithms in Physical Activity and Sedentary Behavior Research

Comparison and agreement between device-estimated and self-reported sleep periods in adults

Replacing sedentary time with physical activity and sleep: Associations with cardiometabolic health markers in adults

Compositional association of 24-hour movement behavior with incident major adverse cardiac events and all-cause mortality.

A novel healthy and time-aware food recommender system using attributed community detection

Community Detection Algorithms in Healthcare Applications: A Systematic Review

Community Detection Algorithms in Healthcare Applications: A Systematic Review

Association of accelerometer‐measured physical activity and midlife income: A Northern Finland Birth Cohort 1966 Study

AccNet24: A deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environments

A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering

Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms

Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms

Collaborators (7)

Tiina Maria Ikäheimo

Antti Kiviniemi

Timo Jämsä

Marko Korhonen

Mourad Oussalah

Raija Korpelainen

Jaana Kari

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