Mark J. van Gils

34 papers C 2Journal 20Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A design framework for operationalizing trustworthy artificial intelligence in healthcare: Requirements, tradeoffs and challenges for its clinical adoption. Inf. Fusion Pedro A. Moreno-Sánchez, Javier Del Ser, Mark J. van Gils, Jussi Hernesniemi
2025	J	`jnl`	A Design Framework for operationalizing Trustworthy Artificial Intelligence in Healthcare: Requirements, Tradeoffs and Challenges for its Clinical Adoption. CoRR Pedro A. Moreno-Sánchez, Javier Del Ser, Mark J. van Gils, Jussi Hernesniemi
2024	J	`jnl`	Assessing the relevance of mental health factors in fibromyalgia severity: A data-driven case study using explainable AI. Int. J. Medical Informatics Pedro A. Moreno-Sánchez, Ruben Arroyo-Fernández, Elisabeth Bravo-Esteban, Asunción Ferri-Morales, Mark J. van Gils
2024	—	`conf`	Assessment of Parkinson's Disease Severity Using Gait Data: A Deep Learning-Based Multimodal Approach. NCDHWS (2) Nabid Faiem, Tunç Asuroglu, Koray Açici, Antti Kallonen, Mark J. van Gils
2024	—	`ed.`	Digital Health and Wireless Solutions - First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part I NCDHWS (1) Mariella Särestöniemi, Pantea Keikhosrokiani, Daljeet Singh, Erkki Harjula, Aleksei Tiulpin, Miia Jansson, Minna Isomursu, Mark J. van Gils, Simo Saarakkala, Jarmo Reponen
2024	—	`ed.`	Digital Health and Wireless Solutions - First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part II NCDHWS (2) Mariella Särestöniemi, Pantea Keikhosrokiani, Daljeet Singh, Erkki Harjula, Aleksei Tiulpin, Miia Jansson, Minna Isomursu, Mark J. van Gils, Simo Saarakkala, Jarmo Reponen
2024	J	`jnl`	ECG-based data-driven solutions for diagnosis and prognosis of cardiovascular diseases: A systematic review. Comput. Biol. Medicine Pedro A. Moreno-Sánchez, Guadalupe García-Isla, Valentina D. A. Corino, Antti Vehkaoja, Kirsten Brukamp, Mark J. van Gils, Luca T. Mainardi
2024	J	`jnl`	Editorial: Supporting sustainable behavior change and empowerment in ubiquitous and learning health systems. Frontiers Digit. Health Jan David Smeddinck, Rada Hussein, Christopher Bull, Tom Foley, Mark J. van Gils
2023	—	`conf`	Associations Between Engagement with the BitHabit Digital Lifestyle Intervention and Changes in Type 2 Diabetes Risk Factors. MIE 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
2022	J	`jnl`	A Comprehensive User Modeling Framework and a Recommender System for Personalizing Well-Being Related Behavior Change Interventions: Development and Evaluation. IEEE Access Anita M. Honka, Hannu Nieminen, Heidi Similä, Jouni Kaartinen, Mark J. van Gils
2021	J	`jnl`	Evaluation of machine learning algorithms for health and wellness applications: A tutorial. Comput. Biol. Medicine Jussi Tohka, Mark J. van Gils
2021	—	`conf`	SPECT Image Features for Early Detection of Parkinson's Disease using Machine Learning Methods. EMBC Emmi Antikainen, Patrick Cella, Antti Tolonen, Mark J. van Gils
2020	J	`jnl`	Evaluation of machine learning algorithms for Health and Wellness applications: a tutorial. CoRR Jussi Tohka, Mark J. van Gils
2019	J	`jnl`	"OPTImAL": an ontology for patient adherence modeling in physical activity domain. BMC Medical Informatics Decis. Mak. Kristina Livitckaia, Vassilis Koutkias, Evangelia Kouidi, Mark J. van Gils, Nikolaos Maglaveras, Ioanna Chouvarda
2019	J	`jnl`	A Decision Support System for Diagnostics and Treatment Planning in Traumatic Brain Injury. IEEE J. Biomed. Health Informatics 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
2019	J	`jnl`	A Holistic Clinical Decision Support System for Diagnosis of Dementia. ERCIM News Mark J. van Gils
2019	J	`jnl`	HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning. CoRR Oguzhan Gencoglu, Mark J. van Gils, Esin Guldogan, Chamin Morikawa, Mehmet Süzen, Mathias Gruber, Jussi Leinonen, Heikki Huttunen
2017	J	`jnl`	Graphical Tasks to Measure Upper Limb Function in Patients With Parkinson's Disease: Validity and Response to Dopaminergic Medication. IEEE J. Biomed. Health Informatics 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
2016	—	`conf`	Prediction of Outcome after Traumatic Brain Injury: Comparison of Disease State Index and IMPACT Calculator. pHealth Hilkka Liedes, Jussi Mattila, Hester F. Lingsma, Jyrki Lötjönen, David K. Menon, Olli Tenovuo, Mark J. van Gils
2015	C	`conf`	Distinguishing Parkinson's disease from other syndromes causing tremor using automatic analysis of writing and drawing tasks. BIBE Antti Tolonen, Luc Cluitmans, Esther J. Smits, Mark J. van Gils, Natasha M. Maurits, Rutger C. Zietsma
2013	—	`conf`	Detection of sleep-disordered breating with Pressure Bed Sensor. EMBC Guillermina Guerrero Mora, Juha M. Kortelainen, Elvia Ruth Palacios Hernandez, Anna M. Bianchi, Giulia Tacchino, Mirja Tenhunen, Martín O. Méndez, Mark J. van Gils
2013	C	`conf`	Guided physical exercise of cardiac patients during rehabilitation: Adherence and changes in physiological variables. BIBE Hilkka Runtti, Dimitris Filos, Mark J. van Gils, Ioanna Chouvarda, Anita Honka, Juha Pärkkä
2012	J	`jnl`	Design and Application of a Generic Clinical Decision Support System for Multiscale Data. IEEE Trans. Biomed. Eng. Juha Koikkalainen, Arho Virkki, Mark J. van Gils, Jyrki Lötjönen, Jussi Mattila
2011	—	`conf`	A personalized approach for predicting the effect of aerobic exercise on blood pressure using a Fuzzy Inference System. EMBC Anita M. Honka, Mark J. van Gils, Juha Pärkkä
2011	—	`conf`	An ontology-based framework aiming to support personalized exercise prescription: Application in cardiac rehabilitation. EMBC Konstantinos Kostopoulos, Ioanna Chouvarda, Vassilis Koutkias, Athina Kokonozi, Mark J. van Gils, Nicos Maglaveras
2011	J	`jnl`	Automated Estimation of Adequate Unloading with Neurally Adjusted Ventilatory Assist. ERCIM News Dimitrios Ververidis, Mark J. van Gils, Christina Passath, Jukka Takala, Lukas Brander
2011	J	`jnl`	Identification of Adequate Neurally Adjusted Ventilatory Assist (NAVA) During Systematic Increases in the NAVA Level. IEEE Trans. Biomed. Eng. Dimitrios Ververidis, Mark J. van Gils, Christina Passath, Jukka Takala, Lukas Brander
2011	J	`jnl`	Increased variation of the response index of nociception during noxious stimulation in patients during general anaesthesia. Comput. Methods Programs Biomed. Tia J. M. Sarén-Koivuniemi, Arvi M. Yli-Hankala, Mark J. van Gils
2010	—	`conf`	Feature selection and time regression software: Application on predicting Alzheimer's disease progress. EUSIPCO Dimitrios Ververidis, Mark J. van Gils, Juha Koikkalainen, Jyrki Lötjönen
2009	J	`jnl`	Relationship of Psychological and Physiological Variables in Long-Term Self-Monitored Data During Work Ability Rehabilitation Program. IEEE Trans. Inf. Technol. Biomed. Juha Pärkkä, Juho Merilahti, Elina M. Mattila, Esko Malm, Kari Antila, Martti T. Tuomisto, Ari Viljam Saarinen, Mark J. van Gils, Ilkka Korhonen
2008	—	`conf`	ECG monitoring of cardiac patients at home: experiences with scenarios and signal processing methods. PervasiveHealth Juho Merilahti, Mark J. van Gils, Tuula Petäkoski-Hult, Outi Kenttä, Esko Hyvärinen, Jari A. K. Hyttinen, Harri Kailanto
2006	—	`conf`	Method for the Automatic Detection of Epileptiform Waveforms in Sevoflurane-induced Anesthesia EEG. EMBC Miikka Ermes, Mika O. K. Särkelä, Mark J. van Gils, Anne Vakkuri, Arvi M. Yli-Hankala, Ville Jäntti
2000	J	`jnl`	Improved monitoring for brain dysfunction in intensive care and surgery: introduction. Comput. Methods Programs Biomed. Ewart R. Carson, Mark J. van Gils, Niilo Saranummi
2000	J	`jnl`	Technical description of the IBIS Data Library. Comput. Methods Programs Biomed. John Gade, Ilkka Korhonen, Mark J. van Gils, Peter Weller, Leena Pesu