Changes for page Methodology

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16 16  * **Clinical and Biomarker Data**:
17 17  ** Anonymized clinical reports, molecular biomarkers, and test results.
18 18  
19 -
20 20  ==== **Data Preprocessing** ====
21 21  
22 22  1. **Standardization**: Ensure all data sources are normalized to a common format.
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36 36  
37 37  ==== **Dimensionality Reduction and Interpretability** ====
38 38  
39 -* Leverage [[DEIBO>>https://drive.ebrains.eu/f/8d7157708cde4b258db0/]] (Data-driven Embedding Interpretation Based on Ontologies) to connect model dimensions to ontology concepts.
38 +* Leverage DEIBO (Data-driven Embedding Interpretation Based on Ontologies) to connect model dimensions to ontology concepts.
40 40  * Evaluate interpretability using metrics like the Area Under the Interpretability Curve (AUIC).
41 41  
42 42  ----
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90 90  The project is open to contributions from researchers, clinicians, and developers. Key tools include:
91 91  
92 92  * **Jupyter Notebooks**: For data analysis and pipeline development.
93 -** Example: [[probabilistic imputation>>https://drive.ebrains.eu/f/4f69ab52f7734ef48217/]]
94 94  * **Wiki Pages**: For documenting methods and results.
95 95  * **Drive and Bucket**: For sharing code, data, and outputs.
96 -* **Related projects: **For instance: [[//Beyond the hype: AI in dementia – from early risk detection to disease treatment//>>https://www.lethe-project.eu/beyond-the-hype-ai-in-dementia-from-early-risk-detection-to-disease-treatment/]]
97 97  
98 98  ----
99 99