102 results on '"Hoogendoorn, Mark"'
Search Results
2. The prevalence of non-pharmacological interventions in older homecare recipients: an overview from six European countries
3. Use of Machine Learning Algorithms Based on Text, Audio, and Video Data in the Prediction of Anxiety and Posttraumatic Stress in General and Clinical Populations: A Systematic Review
4. The added value of temporal data and the best way to handle it: A use-case for atrial fibrillation using general practitioner data
5. Guideline-informed reinforcement learning for mechanical ventilation in critical care
6. Transfer learning across datasets with different input dimensions: An algorithm and analysis for the linear regression case
7. Augmented intelligence facilitates concept mapping across different electronic health records
8. Planning for potential: efficient safe reinforcement learning
9. Jasmine: A new Active Learning approach to combat cybercrime
10. An evaluation of the effectiveness of personalization and self-adaptation for e-Health apps
11. Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning
12. Translating promise into practice: a review of machine learning in suicide research and prevention
13. Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis
14. Quantitative and temporal approach to utilising electronic medical records from general practices in mental health prediction
15. Predictors for extubation failure in COVID-19 patients using a machine learning approach
16. The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients
17. Does Reinforcement Learning Improve Outcomes for Critically Ill Patients? A Systematic Review and Level-of-Readiness Assessment.
18. Predictive modeling in e-mental health: A common language framework
19. Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data
20. Predicting therapy success for treatment as usual and blended treatment in the domain of depression
21. Machine learning in intensive care medicine: ready for take-off?
22. Assessment of temporal predictive models for health care using a formal method
23. Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical records
24. Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer
25. Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis.
26. A generic computational model of mood regulation and its use to model therapeutical interventions
27. Design and validation of a relative trust model
28. Formal specification and analysis of intelligent agents for model-based medicine usage management
29. A computational model for dynamics of desiring and feeling
30. Tailoring a cognitive model for situation awareness using machine learning
31. Cognitive and neural modeling of dynamics of trust in competitive trustees
32. Methods for model-based reasoning within agent-based Ambient Intelligence applications
33. Utilizing theory of mind for action selection applied in the domain of fighter pilot training
34. Agent-based analysis and support for incident management
35. Agent-based analysis and simulation of meta-reasoning processes in strategic naval planning
36. Application of SHAP values for inferring the optimal functional form of covariates in pharmacokinetic modeling.
37. Machine Learning Prediction Models for Neurodevelopmental Outcome After Preterm Birth: A Scoping Review and New Machine Learning Evaluation Framework.
38. Modelling collective decision making in groups and crowds: Integrating social contagion and interacting emotions, beliefs and intentions
39. An intelligent agent model with awareness of workflow progress
40. A generic architecture for redesign of organizations triggered by changing environmental circumstances
41. Formal analysis of empirical traces in incident management
42. Storm clouds and silver linings: how digital technologies have helped us weather the Covid pandemic.
43. Modeling centralized organization of organizational change
44. Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances.
45. Discovery of predictors of sudden cardiac arrest in diabetes: rationale and outline of the RESCUED (REcognition of Sudden Cardiac arrest vUlnErability in Diabetes) project.
46. Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy.
47. Evaluation of a temporal causal model for predicting the mood of clients in an online therapy.
48. A formal method to analyse human reasoning and interpretation in incident management
49. Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations.
50. Comparing generic parameter controllers for EAs.
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