Ilkka Rautiainen

Postdoctoral Researcher

Unit

Faculty of Information Technology

Room number

Ag C413.3

ilkka.t.rautiainen@jyu.fi

Postal address

Mattilanniemi 2

Fields of science

113 Computer and information sciences

Publications

Publication

2026

Artificial intelligence in cardiotocography: Prediction models and applications

Informatics in Medicine Unlocked.

Lamminaho, Petri

Rautiainen, Ilkka

Äyrämö, Sami

Hautakangas, Tuija

Manninen, Matti

Tuppurainen, Ville

Andersson, Sture

Tarvonen, Mikko

Publication

2026

Deep learning for predicting cardiac procedure outcomes: A scoping review of recent advances

Artificial Intelligence in Medicine.

Jauhiainen, Susanne

Rautiainen, Ilkka

Vasankari, Tommi

Äyrämö, Sami

Publication

2026

Exploring the exposome and unexplained variance in epigenetic ageing – Insights from a longitudinal twin study in adolescence and early adulthood

Environment International.

Opperbeck, Annika

Wang, Zhiyang

Rautiainen, Ilkka

Heikkinen, Aino

Ollikainen, Miina

Sebert, Sylvain

Sillanpää, Elina

Publication

2026

Monitoring Health Status: Development and Preliminary Validation of a Personal Health Index Using the International Classification of Functioning, Disability and Health

JMIR Human Factors.

Rautiainen, Ilkka

Parviainen, Lauri

Jakoaho, Veera

Äyrämö, Sami

Kauppi, Jukka-Pekka

Publication

2025

Global Positioning System‐Derived Metrics and Machine Learning Models for Injury Prediction in Professional Rugby Union Players

European Journal of Sport Science.

Ren, Xiangyu

Boisbluche, Simon

Philippe, Kilian

Demy, Mathieu

Äyrämö, Sami

Rautiainen, Ilkka

Ding, Shuzhe

Prioux, Jacques

Publication

2025

Machine Learning in Rugby Union : Predicting and Identifying Key Performance Indicators for Professional Rugby Union Players in Match Play Based Workload

European Journal of Sport Science.

Ren, Xiangyu

Boisbluche, Simon

Philippe, Kilian

Demy, Mathieu

Äyrämö, Sami

Rautiainen, Ilkka

Ding, Shuzhe

Prioux, Jacques

Publication

2024

Prediction methods for assessing the development of individual health status

JYU dissertations.

Rautiainen, Ilkka

Publication

2024

Prediction of Multisite Pain Incidence in Adolescence Using a Machine Learning Approach : A 2‐Year Longitudinal Study

Health Science Reports.

Joensuu, Laura

Rautiainen, Ilkka

Hautala, Arto J.

Siekkinen, Kirsti

Pirnes, Katariina

Tammelin, Tuija H.

Publication

2022

Predicting Future Overweight and Obesity from Childhood Growth Data : A Case Study

Computational Sciences and Artificial Intelligence in Industry. Intelligent Systems, Control and Automation: Science and Engineering. Springer.

Rautiainen, Ilkka

Kauppi, Jukka-Pekka

Ruohonen, Toni

Karhu, Eero

Lukkarinen, Keijo

Äyrämö, Sami

Publication

2022

Predicting Overweight and Obesity in Later Life from Childhood Data : A Review of Predictive Modeling Approaches

Computational Sciences and Artificial Intelligence in Industry. Intelligent Systems, Control and Automation: Science and Engineering. Springer.

Rautiainen, Ilkka

Äyrämö, Sami

Ilkka Rautiainen

Health Data Science Research Group