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  "accrualPeriodicity": "",
            
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  "author": "Philipp D. Rohde",
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  "author": "Philipp D. Rohde",
            
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  "author_email": "",
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  "author_email": "",
            
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  "creator_user_id": "b6005781-6560-475f-aeea-d834a83f0d8f",
            
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  "defined_in": "https://doi.org/10.1016/j.inffus.2024.102557",
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  "defined_in": "https://doi.org/10.1016/j.inffus.2024.102557",
            
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  "doi": "10.57702/4qixxfy9",
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  "doi": "10.57702/4qixxfy9",
            
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  "doi_date_published": null,
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  "doi_date_published": null,
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": false,
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  "doi_status": false,
            
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  "domain": "https://ldm.kisski.de",
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  "domain": "https://ldm.kisski.de",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Antonio Jesus Diaz-Honrubia",
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      "extra_author": "Antonio Jesus Diaz-Honrubia",
            
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      "orcid": "0000-0001-5464-0714"
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      "orcid": "0000-0001-5464-0714"
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Emetis Niazmand",
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      "extra_author": "Emetis Niazmand",
            
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      "orcid": "0000-0001-8194-8079"
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      "orcid": "0000-0001-8194-8079"
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Maria-Esther Vidal",
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      "extra_author": "Maria-Esther Vidal",
            
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      "orcid": "0000-0003-1160-8727"
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      "orcid": "0000-0003-1160-8727"
            
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    }
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    }
            
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  ],
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  "language": "",
            
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  "license_id": "cc-by-sa",
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  "license_id": "cc-by-sa",
            
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  "license_title": "Creative Commons Attribution Share-Alike",
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  "license_title": "Creative Commons Attribution Share-Alike",
            
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  "license_url": "http://www.opendefinition.org/licenses/cc-by-sa",
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  "license_url": "http://www.opendefinition.org/licenses/cc-by-sa",
            
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  "link_orkg": "https://www.orkg.org/orkg/paper/R705607",
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  "link_orkg": "https://www.orkg.org/orkg/paper/R705607",
            
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  "maintainer": "",
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  "maintainer": "",
            
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  "maintainer_email": "",
            
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  "metadata_created": "2024-09-12T10:50:03.237738",
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  "metadata_created": "2024-09-12T10:50:03.237738",
            
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  "metadata_modified": "2024-09-12T12:12:26.297396",
            
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  "name": "synthetic-breast-cancer-data",
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  "name": "synthetic-breast-cancer-data",
            
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  "notes": "The data is generated using the [Synthetic Data 
44
  "notes": "The data is generated using the [Synthetic Data 
            
45
Generator](https://github.com/SDM-TIB/Synthetic-Data-Generator) which 
45
Generator](https://github.com/SDM-TIB/Synthetic-Data-Generator) which 
            
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generates process-based breast cancer treatment data following the 
46
generates process-based breast cancer treatment data following the 
            
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distribution in a real population of breast cancer patients. The 
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distribution in a real population of breast cancer patients. The 
            
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collection comprises a total of 18 data sets, nine for relational 
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collection comprises a total of 18 data sets, nine for relational 
            
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databases and nine for RDF-based knowledge graphs. For each data 
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databases and nine for RDF-based knowledge graphs. For each data 
            
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format, there are three different sizes of data sets:\r\n\r\n+ _Small_ 
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format, there are three different sizes of data sets:\r\n\r\n+ _Small_ 
            
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models 1,000 patients\r\n+ _Medium-sized_ models 10,000 patients\r\n+ 
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models 1,000 patients\r\n+ _Medium-sized_ models 10,000 patients\r\n+ 
            
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_Large_ models 100,000 patients\r\n\r\nThere are three data sets of 
52
_Large_ models 100,000 patients\r\n\r\nThere are three data sets of 
            
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each size. They differ in the parameter used for the mutation 
53
each size. They differ in the parameter used for the mutation 
            
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probability of the data generator. The lower this value is, the closer 
54
probability of the data generator. The lower this value is, the closer 
            
55
the data is to following the treatment guideline for breast cancer 
55
the data is to following the treatment guideline for breast cancer 
            
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patients with an amplified HER2 gene.",
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patients with an amplified HER2 gene.",
            
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  "orcid": "0000-0002-9835-4354",
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "created": "2017-11-23T17:30:37.757128",
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    "created": "2017-11-23T17:30:37.757128",
            
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    "description": "The German National Library of Science and 
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    "description": "The German National Library of Science and 
            
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Technology, abbreviated TIB, is the national library of the Federal 
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Technology, abbreviated TIB, is the national library of the Federal 
            
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Republic of Germany for all fields of engineering, technology, and the 
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Republic of Germany for all fields of engineering, technology, and the 
            
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natural sciences.",
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natural sciences.",
            
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    "image_url": 
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    "title": "TIB",
            
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    "type": "organization"
            
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      "description": "Small dataset of patients respecting the 
            
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treatment guideline.",
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treatment guideline.",
            
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      "description": "Small dataset of patients mainly not respecting 
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      "description": "Medium-sized dataset of patients respecting the 
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      "description": "Medium-sized dataset of patients respecting the 
            
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treatment guideline.",
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treatment guideline.",
            
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