# Melle Sieswerda

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/melle-sieswerda/

## Facts

| Field | Value |
| --- | --- |
| Citations | 224 |
| Field | Head and Neck Cancer Studies |
| h-index | 8 |
| i10-index | 5 |
| OpenAlex ID | https://openalex.org/A5066831195 |
| ORCID iD | 0000-0003-2025-0771 |
| Works | 36 |

## Researcher papers

- [Integrated analysis of DNA copy number and gene expression microarray data using gene sets](https://scholariq.org/papers/integrated-analysis-of-dna-copy-number-and-gene-expression-microarray-data-using/)
- [VANTAGE6: an open source priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange.](https://scholariq.org/papers/vantage6-an-open-source-privacy-preserving-federated-learning-infrastructure-for/)
- [Prognostic factors analysis for oral cavity cancer survival in the Netherlands and Taiwan using a privacy-preserving federated infrastructure](https://scholariq.org/papers/prognostic-factors-analysis-for-oral-cavity-cancer-survival-in-the-netherlands/)
- [Impact on Quality of Documentation and Workload of the Introduction of a National Information Standard for Tumor Board Reporting](https://scholariq.org/papers/impact-on-quality-of-documentation-and-workload-of-the-introduction-of-a/)
- [Data Interoperability in Context: The Importance of Open-Source Implementations When Choosing Open Standards](https://scholariq.org/papers/data-interoperability-in-context-the-importance-of-open-source-implementations-2/)
- [Predicting Lung Cancer Survival Using Probabilistic Reclassification of TNM Editions With a Bayesian Network](https://scholariq.org/papers/predicting-lung-cancer-survival-using-probabilistic-reclassification-of-tnm/)
- [The feasibility of a Bayesian network model to assess the probability of simultaneous symptoms in patients with advanced cancer](https://scholariq.org/papers/the-feasibility-of-a-bayesian-network-model-to-assess-the-probability-of/)
- [Identifying Confounders Using Bayesian Networks and Estimating Treatment Effect in Prostate Cancer With Observational Data](https://scholariq.org/papers/identifying-confounders-using-bayesian-networks-and-estimating-treatment-effect/)
- [Estimating Treatment Effect of Adjuvant Chemotherapy in Elderly Patients With Stage III Colon Cancer Using Bayesian Networks](https://scholariq.org/papers/estimating-treatment-effect-of-adjuvant-chemotherapy-in-elderly-patients-with/)
- [Prognostic Factors for Survival in Patients with Oral Cavity Cancer: A Comparison of the Netherlands and Taiwan Using Privacy-Preserving Federated Analyses](https://scholariq.org/papers/prognostic-factors-for-survival-in-patients-with-oral-cavity-cancer-a-comparison/)

## Researcher topics

- [Head and Neck Cancer Studies](https://scholariq.org/topics/head-and-neck-cancer-studies/)
- [Electronic Health Records Systems](https://scholariq.org/topics/electronic-health-records-systems/)
- [Bayesian Modeling and Causal Inference](https://scholariq.org/topics/bayesian-modeling-and-causal-inference/)
- [Prostate Cancer Diagnosis and Treatment](https://scholariq.org/topics/prostate-cancer-diagnosis-and-treatment/)
- [Cancer survivorship and care](https://scholariq.org/topics/cancer-survivorship-and-care/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.