Research grants (22)

2024-2025: Phaeton, EUR 150K (LUMC) + EUR 50K (LIACS).

Pandemic preparedness. Portable platform as a service for crowdsourced and privacy respecting data analysis and modeling. Financer: ZonMW Modelleren voor Pandemische Paraatheid: een oproep tot innovatie en kennisontwikkeling SA 2023. Remark: ZonMW dossier #10710062310030, grant total: 500K EUR.

2024-2026: ECOTIP, EUR 130K (LUMC).

Identifying tipping points of the effects of living environments on ecosyndemics of lifestyle-related illnesses by ML/NLP modelling of a patient segmentation model based on EHR and environmental data. Applicant(s): Kiefte,J., Spruit,M., Vos,R., et al. Remark: grant total: 4.4M EUR. Researcher(s): Muizelaar,H. www.nwo.nl/en/projects/nwa151822151

2023-2026: INSAFEDARE, EUR 571K (LUMC).

Innovative applications of assessment and assurance of data and synthetic data for regulatory decision support. Generation and evaluation of a benchmarking synthetic dataset amenable to the regulatory process, analytical methods for validation of digital health applications, and components for data integration pipelines. Financer(s): Horizon Europe: HORIZON-HLTH-2022-TOOL-11-02: Tools and technologies for a healthy society. Applicant(s): Despotou,G. et al. HEU project #101095661; grant total: 4.8M EUR. Researcher(s): Achterberg,J. & Dijk,B. van 10.3030/101095661

2024: EuroQoL-LLM, 1325 EUR (LUMC).

Applying Large Language Models to Identify EQ-5D Bolt-ons Based on Patient Text Data. Financer: EuroQol Group Seed grant: 1792-SG. Applicant: van den Akker-van Marle,E., Spruit,M., et al. Remark: Grant total: 42K EUR. Researcher(s): Heijdra Suasnabar,J. et al. euroqol.org/research-at-euroqol/ our-research-portfolio/funded-projects/

2023-2024: HealthBox, EUR 66,000 (LUMC).

A personalized, home-based eHealth intervention to treat metabolic syndrome and prevent its complications by ML/NLP modelling of a patient segmentation model based on EHR and environmental data. Applicant(s): Chavannes,N., Atsma,D., Pijl,H., Vos,R., et al. Remark: grant total: 2.5M EUR. Researcher(s): Muizelaar,H. www.nwo.nl/en/projects/kich1gz0321007

2021-2024: VIPP, EUR 60K (LUMC).

Virtual Patients and Population Dataset. Develop a synthetic ELAN dataset to improve teaching data science. Financer(s): LUMC Interprofessional Education (IPE) programme. Applicant(s): Spruit,M., & Szuhai,K. Remark: Project Raamplan Implementatie Artsopleiding (PRIMA) 2020 working group deliverable wrt Theme 5 on Big Data and AI. Researcher(s): Faiq,A. healthcampusdenhaag.nl/nl/project/ virtuele-patient-en-populatie-vipp-dataset/

Research theme

Research collaborations (16)

2022-2026: PreProMMF (ULEI)

Natural Language Processing in Mental Health: Detection, Prediction and Promotion with Multilingual, Multimodal and Federated Techniques. Sponsor: Arab Academy of Science, Technology & Maritime Transport (AAST). Financed as a 60% lecturer - 40% researcher contract. Researcher(s): Khalil,S.

2021-2025: Data2Bedside (LUMC)

Reusing routinely collected data from regional GP offices in ELAN to create a clinical decision support tool to identify disease progression risk levels in Type Two Diabetes Mellitus (T2DM) patients. Sponsor: Kingdom of Saudi Arabia scholarship. Researcher(s): Alfaraj,S.

2021-2026: PHA (LUMC)

Population Health Analytics. Maturity modelling for situational data infrastructure and scenario planning towards appropriate regional intelligence. Sponsor: Q-Consult Zorg. Researcher(s): Roorda,E.

2018-2024: PbD (UU)

Privacy-by-Design. How organisations can demonstrate responsible data use in information systems through Privacy-by-Design. Sponsor: P&O Rijk. Researcher(s): Dijk,F. van

Journal articles (111)

1. Álvarez-Chaves,H., Spruit,M., & R-Moreno,M. (2024). Improving ED admissions forecasting by using generative AI: An approach based on DGAN. Computer Methods and Programs in Biomedicine, 256, 108363. 10.1016/j.cmpb.2024.108363
2. Achterberg,J., Haas,M., & Spruit,M. (2024). On the evaluation of synthetic longitudinal electronic health records. BMC Medical Research Methodology, 24, 181. 10.1186/s12874-024-02304-4
3. Haastrecht,M. van, Haas,M., Brinkhuis,M., & Spruit,M. (2024). Understanding Validity Criteria in Technology-Enhanced Learning: A Systematic Literature Review. Computers & Education, 220, 105128. 10.1016/j.compedu.2024.105128
4. Rijcken,E., Zervanou,K., Mosteiro,P., Scheepers,F., Spruit,M., & Kaymak,U. (2024). Topic Specificity: a Descriptive Metric for Algorithm Selection and Finding the Right Number of Topics. Natural Language Processing Journal, 8, 100082. 10.1016/j.nlp.2024.100082
5. Muizelaar,H., Haas,M., van Dortmont,K., van der Putten,P., & Spruit,M. (2024). Extracting Patient Lifestyle Characteristics from Dutch Clinical Text with BERT Models. BMC Medical Informatics and Decision Making, 24, 151. 10.1186/s12911-024-02557-5
6. Khalil, S., Tawfik,N., & Spruit,M. (2024). Federated learning for privacy-preserving depression detection with multilingual language models in social media posts. Patterns, 5, 100990. 10.1016/j.patter.2024.100990

Wordcloud

gScholar statistics

	All	Since 2019
Citations	4613	3296
h-index	36	30
i10-index	94	75

Conference proceedings (88)

1. Van Dijk,B., Ul Islam,S., Achterberg,J., Muhammad Waseem,H., Gallos,P., Epiphaniou,G., Maple,C., Haas,M., & Spruit,M. (In press). A Novel Taxonomy for Navigating and Classifying Synthetic Data in Healthcare Applications. EFMI Special Topic Conference (STC 2024), 27-29 Nov 2024, Timisoara, Romania.
2. Lefebvre,A., de Schipper,L., Haas,M., & Spruit,M. (2024). Empowering Translational Health Data Science Capabilities in Population Health Management A Case of Building a Data Competence Center. In van de Wetering et al. (Eds.): I3E 2024, 23rd IFIP Conference e-Business, e-Services, and e-Society (I3E 2024), Lecture Notes in Computer Science, 14907. 11-13 September 2024, Heerlen, Netherlands. 10.1007/978-3-031-72234-9_33
3. Gallos,P., Matragkas,N., Ul Islam,S., Epiphaniou,G., Hansen,S., Harrison,S., Van Dijk,B., Haas,M., Pappous,G., Brouwer,S., Torlontano,F., Farooq Abbasi,S., Pournik,O., Churm,J., Mantas,J., Luis Parra-Calderón,C., Petkousis,D., Weber,P., Dzingina,B., Mraidha,C., Maple,C., Achterberg,J., Spruit,M., Saratsioti,E., Moustaghfir,Y., & Arvanitis,T. (2024). INSAFEDARE Project: Innovative Applications of Assessment and Assurance of Data and Synthetic Data for Regulatory Decision Support. Studies in health technology and informatics, 316, 1193-1197. 34th Medical Informatics Europe Conference (MIE 2024), 25-29 Aug 2024, Athens, Greece.
4. Haastrecht,M., Brinkhuis,M., & Spruit,M. (2024). Federated Learning Analytics: Investigating the Privacy-Performance Trade-Off in Machine Learning for Educational Analytics. In: Olney et al. (eds), Artificial Intelligence in Education (AIED 2024), Lecture Notes in Computer Science, 14830 (pp. 62-74). 8-12 July 2024, Recife, Brazil. 10.1007/978-3-031-64299-9_5
5. Dijk,B. van, Duijn,M. van, Kloostra,L., Spruit,M., & Beekhuizen,B. (2024). Using a Language Model to Unravel Semantic Development in Children's Use of a Dutch Perception Verb. 8th Workshop on Cognitive Aspects of the Lexicon (CogALex@ LREC-COLING 2024) (pp. 98-106). 20 May 2024, Torino, Italy. 2024 - Dijk Duijn Kloostra Spruit Beekhuizen.pdf
6. Wang,R., Verberne,S., & Spruit,M. (2024). Attend All Options at Once: Full Context Input for Multi-choice Reading Comprehension. In European Conference on Information Retrieval (ECIR 2024) (pp. 387-402). 24-28 March 2024, Glasgow, Scotland. Cham: Springer. 10.1007/978-3-031-56027-9_24

Postdocs & PhD candidates (11)

MSc students (96)

1. Thiel,Haike van (In progess). Personalised and realistic training scenarios with artificial patients using AI models in Trauma Care. e Civil-Military Centre of Expertise for Trauma Care (CETC).
2. Drougkas,Georgios (25/06/2024). Multimodal Machine Learning for Language/Speech Markers Identification in Mental Health. Spruit,Marco, & Bakker,Erwin (UL). [8.0]
3. Rameshchandra,Ramya Tumkur (25/06/2024). Unsupervised machine learning methods to understand the social and psychological effects of prescription opioids. Spruit,Marco, & Baratchi,Mitra (UL). [7.5]
4. Tomassen,Floris (05/02/2024). LLM-Based Data Generation techniques for end-to-end models of grammatical error correction applied to Dutch Care Text. Spruit,Marco; Wijnholds,Gijs. (Prime Vision). [8.5]

BSc students (61)

1. Leito, Roderick (08/10/2024). Integration of the EQ5D PROM questionnaire into a natural and unobtrusive conversation using a RASA-driven chatbot. Spruit,Marco & Lefebvre,Armel (UL). [7.5]
2. Baghdasaryan, Ruzanna (27/08/2024). Questionnaire-driven Dialogue: Utilizing Large Language Models for Hallucination-free Conversational AI in Elderly Well-being Monitoring. Spruit,Marco & Lefebvre,Armel (UL). [8.5]
3. Tanoesemito, Charma (01/03/2024). Reconstructing family relationships using routine primary care Electronic Health Record database. Life Sciences and Technology (LST) programme. Spruit,Marco; Marian Beekman, Niels van den Berg (MOLEPI). [8.0]
4. Lelasseux, Maxine (05/02/2024). Analyzing offenses against life data: a machine learning approach on data extracted from the Human Relations Area Files (HRAF) database. Spruit,Marco; Liem,Marieke; Syme,Katharina (FGGA/ISGA). [6.5]

Invited talks (46)

1. 19/09/2024: Natural language processing for enriching real world evidence from electronic health records: AI @ Health Campus The Hague. 3rd Leiden Drug Development Conference (LDDC) - "Artificial Intelligence in drug development, manufacturing and health care", 19 September 2024, ECC, Leiden [20 min] 2024 0919 lddc.pps
2. 02/07/2024: Natuurlijke Taalverwerking in de Zorg. AI en Technologie week Geneeskunde jaar 1, LUMC. [40 min] 2024 0702 ai-week-gnk-b1 NLP.pdf
3. 21/03/2024: Natural language processing for enriching real world evidence from electronic health records: NLP @ Health Campus The Hague. Spring Symposium Young Epidemiologists, UMC Utrecht. [30 min] 2024 0321 spruit-haga.pdf
4. 11/03/2024: Translational Data Science in Population Health: Data Techniques and Methodology for Violence as a Public Health Problem. KIEM Pressure Cooker Workshop, 11 March 2024. [10 min] 2024 0311 Kiem-pitch-tds-en.pdf
5. 20/02/2024: Translational Data Science & AI: A case of Natural Language Processing for Violence Risk Assessment using CRISP-DM. Lorentz workshop Criminal Justice Settings, Crime, and Reintegration, Session on New insights from computer science and economics for the study of criminal justice involved individuals, Leiden. [30 min] www.lorentzcenter.nl 2024 0220 Lorentz spruit NLP.pdf

Leiden University committees (26)

1. 2024-present: Self Steering Committee Member in UNA Europa, One Health Focus Area. .../una-europa-leiden/self-steering-committees
2. 2024-present: Member ELAN Scientific Board.
3. 2023-present: Member LIACS Scientific Council.
4. 2023-present: Member PHM Scientific Council.
5. 2023-present: Member PHEG Stuurgroep Studenten Onderwijs (SSO).
6. 2022-present: Lead of ELAN implementation case in LUMC/Health-RI node.
7. 2022-present: Member LUMC Student Research Award committee.
8. 2021-present: Co-lead Special Interest Group Health Data Science (with profs. Kraaij & Fiocco).
9. 2021-present: Member core team LUMC Clinical AI Implementation and Research Lab (CAIRELab).
10. 2021-present: Member Advisory board of LUMC Research Facility Data Analytics.
11. 2021-present: Member LUMC Ph.D. guidance committee for C. Li (RADI), V. van der Valk (RADI), S. Bagcik (BDS), D. Lyu (RADI).

Oppositions (21)

1. D. Misoo Kim (Universidad de Murcia, 3/10/2024). Simulation and Visualization of Spatial-Temporal Data in Hospital Infection Outbreaks (dr. D. Manuel Campos Martínez, dr. José Manuel Juárez Herrero).
2. L. Yang (LIACS, 20/9/2024). Information-theoretic Partition-based Models for Interpretable Machine Learning (dr. M. van Leeuwen, prof. A. Plaat).
3. M. Fragkiadakis (LIACS, 9/4/2024, secretary). Digital Tools for Sign Language Research: Towards Recognition and Comparison of Lexical Signs (prof M. Mous, P. van der Putten, V. Nyst).
4. M. Lao (LIACS, 28/11/2023). Exploring Deep Learning for Multimodal Understanding (prof M. Lew, prof A. Plaat).
5. R. Turner (ULEI/MI, 14/11/2023). Safe Anytime-Valid Inference: from Theory to Implementation in Psychiatry Research (prof P. Grünwald, prof F. Scheepers, A. Harma).