Mark J. van Gils

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 15

Top Topics

Decision Support System

Traumatic Brain Injury

Top Venues

IEEE J. Biomed. Health Informatics

Comput. Biol. Medicine

BMC Medical Informatics Decis. Mak.

Publications

Nabid Faiem, Tunç Asuroglu, Koray Açici, Antti Kallonen, Mark J. van Gils
Assessment of Parkinson's Disease Severity Using Gait Data: A Deep Learning-Based Multimodal Approach. NCDHWS (2) (2024)
Jan David Smeddinck, Rada Hussein, Christopher Bull, Tom Foley, Mark J. van Gils
Editorial: Supporting sustainable behavior change and empowerment in ubiquitous and learning health systems. Frontiers Digit. Health 6 (2024)
Pedro A. Moreno-Sanchez, Ruben Arroyo-Fernández, Elisabeth Bravo-Esteban, Asunción Ferri-Morales, Mark J. van Gils
Assessing the relevance of mental health factors in fibromyalgia severity: A data-driven case study using explainable AI. Int. J. Medical Informatics 181 (2024)
Pedro A. Moreno-Sanchez, Guadalupe García-Isla, Valentina D. A. Corino, Antti Vehkaoja, Kirsten Brukamp, Mark J. van Gils, Luca T. Mainardi
ECG-based data-driven solutions for diagnosis and prognosis of cardiovascular diseases: A systematic review. Comput. Biol. Medicine 172 (2024)
Hilkka Liedes, Elina M. Mattila, Anita Honka, Pilvikki Absetz, Kirsikka Aittola, Suvi Manninen, Niina Lintu, Ursula Schwab, Aino-Maija Eloranta, Adil Umer, Tanja Tilles-Tirkkonen, Reija Männikkö, Ilona Ruotsalainen, Mark J. van Gils, Jaana Lindström, Timo Lakka, Jussi Pihlajamäki, Anna-Leena Vuorinen
Associations Between Engagement with the BitHabit Digital Lifestyle Intervention and Changes in Type 2 Diabetes Risk Factors. MIE (2023)
Anita M. Honka, Hannu Nieminen, Heidi Similä, Jouni Kaartinen, Mark J. van Gils
A Comprehensive User Modeling Framework and a Recommender System for Personalizing Well-Being Related Behavior Change Interventions: Development and Evaluation. IEEE Access 10 (2022)
Emmi Antikainen, Patrick Cella, Antti Tolonen, Mark J. van Gils
SPECT Image Features for Early Detection of Parkinson's Disease using Machine Learning Methods. EMBC (2021)
Jussi Tohka, Mark J. van Gils
Evaluation of machine learning algorithms for health and wellness applications: A tutorial. Comput. Biol. Medicine 132 (2021)
Jussi Tohka, Mark J. van Gils
Evaluation of machine learning algorithms for Health and Wellness applications: a tutorial. CoRR (2020)
Mark J. van Gils
A Holistic Clinical Decision Support System for Diagnosis of Dementia. ERCIM News 2019 (118) (2019)
Adil Umer, Jussi Mattila, Hilkka Liedes, Juha Koikkalainen, Jyrki Lötjönen, Ari Katila, Janek Frantzen, Virginia F. J. Newcombe, Olli Tenovuo, David K. Menon, Mark J. van Gils
A Decision Support System for Diagnostics and Treatment Planning in Traumatic Brain Injury. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Kristina Livitckaia, Vassilis Koutkias, Evangelia Kouidi, Mark J. van Gils, Nikolaos Maglaveras, Ioanna Chouvarda
"OPTImAL": an ontology for patient adherence modeling in physical activity domain. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Oguzhan Gencoglu, Mark J. van Gils, Esin Guldogan, Chamin Morikawa, Mehmet Süzen, Mathias Gruber, Jussi Leinonen, Heikki Huttunen
HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning. CoRR (2019)
Esther J. Smits, Antti J. Tolonen, Luc Cluitmans, Mark J. van Gils, Rutger C. Zietsma, Robbert W. K. Borgemeester, Teus van Laar, Natasha M. Maurits
Graphical Tasks to Measure Upper Limb Function in Patients With Parkinson's Disease: Validity and Response to Dopaminergic Medication. IEEE J. Biomed. Health Informatics 21 (1) (2017)
Hilkka Liedes, Jussi Mattila, Hester F. Lingsma, Jyrki Lötjönen, David K. Menon, Olli Tenovuo, Mark J. van Gils
Prediction of Outcome after Traumatic Brain Injury: Comparison of Disease State Index and IMPACT Calculator. pHealth (2016)
Antti Tolonen, Luc Cluitmans, Esther J. Smits, Mark J. van Gils, Natasha M. Maurits, Rutger C. Zietsma
Distinguishing Parkinson's disease from other syndromes causing tremor using automatic analysis of writing and drawing tasks. BIBE (2015)
Guillermina Guerrero Mora, Juha M. Kortelainen, Elvia Ruth Palacios Hernandez, Anna M. Bianchi, Giulia Tacchino, Mirja Tenhunen, Martín O. Méndez, Mark J. van Gils
Detection of sleep-disordered breating with Pressure Bed Sensor. EMBC (2013)
Hilkka Runtti, Dimitris Filos, Mark J. van Gils, Ioanna Chouvarda, Anita Honka, Juha Pärkkä
Guided physical exercise of cardiac patients during rehabilitation: Adherence and changes in physiological variables. BIBE (2013)
Juha Koikkalainen, Arho Virkki, Mark J. van Gils, Jyrki Lötjönen, Jussi Mattila
Design and Application of a Generic Clinical Decision Support System for Multiscale Data. IEEE Trans. Biomed. Eng. 59 (1) (2012)
Anita M. Honka, Mark J. van Gils, Juha Pärkkä
A personalized approach for predicting the effect of aerobic exercise on blood pressure using a Fuzzy Inference System. EMBC (2011)
Dimitrios Ververidis, Mark J. van Gils, Christina Passath, Jukka Takala, Lukas Brander
Identification of Adequate Neurally Adjusted Ventilatory Assist (NAVA) During Systematic Increases in the NAVA Level. IEEE Trans. Biomed. Eng. 58 (9) (2011)
Tia J. M. Sarén-Koivuniemi, Arvi M. Yli-Hankala, Mark J. van Gils
Increased variation of the response index of nociception during noxious stimulation in patients during general anaesthesia. Comput. Methods Programs Biomed. 104 (2) (2011)
Dimitrios Ververidis, Mark J. van Gils, Christina Passath, Jukka Takala, Lukas Brander
Automated Estimation of Adequate Unloading with Neurally Adjusted Ventilatory Assist. ERCIM News 2011 (87) (2011)
Konstantinos Kostopoulos, Ioanna Chouvarda, Vassilis Koutkias, Athina Kokonozi, Mark J. van Gils, Nicos Maglaveras
An ontology-based framework aiming to support personalized exercise prescription: Application in cardiac rehabilitation. EMBC (2011)
Dimitrios Ververidis, Mark J. van Gils, Juha Koikkalainen, Jyrki Lötjönen
Feature selection and time regression software: Application on predicting Alzheimer's disease progress. EUSIPCO (2010)
Juha Pärkkä, Juho Merilahti, Elina M. Mattila, Esko Malm, Kari Antila, Martti T. Tuomisto, Ari Viljam Saarinen, Mark J. van Gils, Ilkka Korhonen
Relationship of Psychological and Physiological Variables in Long-Term Self-Monitored Data During Work Ability Rehabilitation Program. IEEE Trans. Inf. Technol. Biomed. 13 (2) (2009)
Juho Merilahti, Mark J. van Gils, Tuula Petäkoski-Hult, Outi Kenttä, Esko Hyvärinen, Jari A. K. Hyttinen, Harri Kailanto
ECG monitoring of cardiac patients at home: experiences with scenarios and signal processing methods. PervasiveHealth (2008)
Miikka Ermes, Mika O. K. Särkelä, Mark J. van Gils, Anne Vakkuri, Arvi M. Yli-Hankala, Ville Jäntti
Method for the Automatic Detection of Epileptiform Waveforms in Sevoflurane-induced Anesthesia EEG. EMBC (2006)
John Gade, Ilkka Korhonen, Mark J. van Gils, Peter Weller, Leena Pesu
Technical description of the IBIS Data Library. Comput. Methods Programs Biomed. 63 (3) (2000)
Ewart R. Carson, Mark J. van Gils, Niilo Saranummi
Improved monitoring for brain dysfunction in intensive care and surgery: introduction. Comput. Methods Programs Biomed. 63 (3) (2000)