104 results on '"Hoogendoorn, Mark"'
Search Results
2. The added value of temporal data and the best way to handle it: A use-case for atrial fibrillation using general practitioner data
3. Guideline-informed reinforcement learning for mechanical ventilation in critical care
4. Does Reinforcement Learning Improve Outcomes for Critically Ill Patients? A Systematic Review and Level-of-Readiness Assessment
5. Transfer learning across datasets with different input dimensions: An algorithm and analysis for the linear regression case
6. Augmented intelligence facilitates concept mapping across different electronic health records
7. Planning for potential: efficient safe reinforcement learning
8. Jasmine: A new Active Learning approach to combat cybercrime
9. An evaluation of the effectiveness of personalization and self-adaptation for e-Health apps
10. Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning
11. Translating promise into practice: a review of machine learning in suicide research and prevention
12. Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis
13. Quantitative and temporal approach to utilising electronic medical records from general practices in mental health prediction
14. Predictors for extubation failure in COVID-19 patients using a machine learning approach
15. The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients
16. Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy
17. Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome
18. Reinforcement learning for intensive care medicine: actionable clinical insights from novel approaches to reward shaping and off-policy model evaluation.
19. Does Reinforcement Learning Improve Outcomes for Critically Ill Patients? A Systematic Review and Level-of-Readiness Assessment.
20. Predictive modeling in e-mental health: A common language framework
21. Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data
22. Predicting therapy success for treatment as usual and blended treatment in the domain of depression
23. Machine learning in intensive care medicine: ready for take-off?
24. Assessment of temporal predictive models for health care using a formal method
25. Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical records
26. Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer
27. Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis.
28. A generic computational model of mood regulation and its use to model therapeutical interventions
29. Machine learning to improve false-positive results in the Dutch newborn screening for congenital hypothyroidism
30. Tailoring a cognitive model for situation awareness using machine learning
31. Application of SHAP values for inferring the optimal functional form of covariates in pharmacokinetic modeling.
32. Machine Learning Prediction Models for Neurodevelopmental Outcome After Preterm Birth: A Scoping Review and New Machine Learning Evaluation Framework.
33. Storm clouds and silver linings: how digital technologies have helped us weather the Covid pandemic.
34. Special issue on advances in applied artificial intelligence
35. Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances.
36. Discovery of predictors of sudden cardiac arrest in diabetes: rationale and outline of the RESCUED (REcognition of Sudden Cardiac arrest vUlnErability in Diabetes) project.
37. Evaluation of a temporal causal model for predicting the mood of clients in an online therapy.
38. Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations.
39. Parameter Control in Evolutionary Algorithms: Trends and Challenges.
40. Complex Machine-Learning Algorithms and Multivariable Logistic Regression on Par in the Prediction of Insufficient Clinical Response to Methotrexate in Rheumatoid Arthritis.
41. A Framework for Applying Natural Language Processing in Digital Health Interventions.
42. Using the Personalized Advantage Index for Individual Treatment Allocation to Blended Treatment or Treatment as Usual for Depression in Secondary Care.
43. Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis.
44. Development of machine learning models predicting mortality using routinely collected observational health data from 0-59 months old children admitted to an intensive care unit in Bangladesh: critical role of biochemistry and haematology data.
45. Optimizing the Dutch newborn screening for congenital hypothyroidism by incorporating amino acids and acylcarnitines in a machine learning-based model.
46. What is the future of artificial intelligence in obstetrics? A qualitative study among healthcare professionals.
47. Optimising the care for older persons with complex chronic conditions in home care and nursing homes: design and protocol of I-CARE4OLD, an observational study using real-world data.
48. Prediction of heart failure 1 year before diagnosis in general practitioner patients using machine learning algorithms: a retrospective case-control study.
49. Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists.
50. Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse.
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