André Dekker
Biographic Data
| ID | 6703408 |
|---|---|
| NAME | André Dekker |
| GIVEN NAMES | André |
| FAMILY NAME | Dekker |
| SIGNATURE | DEKKER A |
| AFFILIATIONS | Maastro Clinic |
| ORCID | 0000-0002-0422-7996 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A critique of current approaches to privacy in machine learning
Access to large datasets, the rise of the Internet of Things (IoT) and the ease of collecting personal data, have led to significant breakthroughs in machine learning. However, they have also raised new concerns about privacy data protection. Controversies like the Facebook-Cambridge Analytica scandal highlight unethical practices in today’s digital landscape. Historical privacy incidents have led to the development of technical and legal solutio…
Clinician perspectives on clinical decision support systems in lung cancer
BACKGROUND: Lung cancer treatment decisions are typically made among clinical experts in a multidisciplinary tumour board (MTB) based on clinical data and guidelines. The rise of artificial intelligence and cultural shifts towards patient autonomy are changing the nature of clinical decision-making towards personalized treatments. This can be supported by clinical decision support systems (CDSSs) that generate personalized treatment information a…
No prominent works on this page.
Clinician perspectives on clinical decision support systems in lung cancer
BACKGROUND: Lung cancer treatment decisions are typically made among clinical experts in a multidisciplinary tumour board (MTB) based on clinical data and guidelines. The rise of artificial intelligence and cultural shifts towards patient autonomy are changing the nature of clinical decision-making towards personalized treatments. This can be supported by clinical decision support systems (CDSSs) that generate personalized treatment information a…
A critique of current approaches to privacy in machine learning
Access to large datasets, the rise of the Internet of Things (IoT) and the ease of collecting personal data, have led to significant breakthroughs in machine learning. However, they have also raised new concerns about privacy data protection. Controversies like the Facebook-Cambridge Analytica scandal highlight unethical practices in today’s digital landscape. Historical privacy incidents have led to the development of technical and legal solutio…
Artificial Intelligence (1 work) · Cancer survivorship and care (1 work) · Clinical decision support system (1 work) · Clinical Reasoning and Diagnostic Skills (1 work) · Computer Science (1 work) · Current (fluid (1 work) · Data science (1 work) · Decision support system (1 work) · Electrical engineering (1 work) · Engineering (1 work)