Changes
On December 2, 2024 at 10:39:53 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Breast Cancer Diagnosis Using Machine Learning Techniques -
Changed value of field
doi_date_published
to2024-12-02
in Breast Cancer Diagnosis Using Machine Learning Techniques -
Added resource Original Metadata to Breast Cancer Diagnosis Using Machine Learning Techniques
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2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Juan Pablo Zuluaga Gomez", | 3 | "author": "Juan Pablo Zuluaga Gomez", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
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n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-02", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
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12 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Noureddine Zerhouni", | 15 | "extra_author": "Noureddine Zerhouni", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Zeina Al Masry", | 19 | "extra_author": "Zeina Al Masry", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Christophe Varnier", | 23 | "extra_author": "Christophe Varnier", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Pascal Vairac", | 27 | "extra_author": "Pascal Vairac", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | } | 29 | } | ||
30 | ], | 30 | ], | ||
31 | "groups": [ | 31 | "groups": [ | ||
32 | { | 32 | { | ||
33 | "description": "", | 33 | "description": "", | ||
34 | "display_name": "Breast Cancer", | 34 | "display_name": "Breast Cancer", | ||
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36 | "image_display_url": "", | 36 | "image_display_url": "", | ||
37 | "name": "breast-cancer", | 37 | "name": "breast-cancer", | ||
38 | "title": "Breast Cancer" | 38 | "title": "Breast Cancer" | ||
39 | }, | 39 | }, | ||
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46 | "title": "Machine Learning" | 46 | "title": "Machine Learning" | ||
47 | }, | 47 | }, | ||
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49 | "description": "", | 49 | "description": "", | ||
50 | "display_name": "Medical Imaging", | 50 | "display_name": "Medical Imaging", | ||
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53 | "name": "medical-imaging", | 53 | "name": "medical-imaging", | ||
54 | "title": "Medical Imaging" | 54 | "title": "Medical Imaging" | ||
55 | } | 55 | } | ||
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58 | "isopen": false, | 58 | "isopen": false, | ||
59 | "landing_page": "", | 59 | "landing_page": "", | ||
60 | "license_title": null, | 60 | "license_title": null, | ||
61 | "link_orkg": "", | 61 | "link_orkg": "", | ||
62 | "metadata_created": "2024-12-02T22:39:51.478166", | 62 | "metadata_created": "2024-12-02T22:39:51.478166", | ||
n | 63 | "metadata_modified": "2024-12-02T22:39:51.478172", | n | 63 | "metadata_modified": "2024-12-02T22:39:52.199730", |
64 | "name": "breast-cancer-diagnosis-using-machine-learning-techniques", | 64 | "name": "breast-cancer-diagnosis-using-machine-learning-techniques", | ||
65 | "notes": "Breast cancer is one of the most threatening diseases in | 65 | "notes": "Breast cancer is one of the most threatening diseases in | ||
66 | women\u2019s life; thus, the early and accurate diagnosis plays a key | 66 | women\u2019s life; thus, the early and accurate diagnosis plays a key | ||
67 | role in reducing the risk of death in a patient\u2019s life. | 67 | role in reducing the risk of death in a patient\u2019s life. | ||
68 | Mam-mography stands as the reference technique for breast cancer | 68 | Mam-mography stands as the reference technique for breast cancer | ||
69 | screening; nevertheless, many countries still lack access to | 69 | screening; nevertheless, many countries still lack access to | ||
70 | mammograms due to economic, social, and cultural issues.", | 70 | mammograms due to economic, social, and cultural issues.", | ||
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72 | "num_tags": 5, | 72 | "num_tags": 5, | ||
73 | "organization": { | 73 | "organization": { | ||
74 | "approval_status": "approved", | 74 | "approval_status": "approved", | ||
75 | "created": "2024-11-25T12:11:38.292601", | 75 | "created": "2024-11-25T12:11:38.292601", | ||
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80 | "name": "no-organization", | 80 | "name": "no-organization", | ||
81 | "state": "active", | 81 | "state": "active", | ||
82 | "title": "No Organization", | 82 | "title": "No Organization", | ||
83 | "type": "organization" | 83 | "type": "organization" | ||
84 | }, | 84 | }, | ||
85 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 85 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
86 | "private": false, | 86 | "private": false, | ||
87 | "relationships_as_object": [], | 87 | "relationships_as_object": [], | ||
88 | "relationships_as_subject": [], | 88 | "relationships_as_subject": [], | ||
t | 89 | "resources": [], | t | 89 | "resources": [ |
90 | { | ||||
91 | "cache_last_updated": null, | ||||
92 | "cache_url": null, | ||||
93 | "created": "2024-12-02T22:29:38", | ||||
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95 | "dcterms:title", | ||||
96 | "dcterms:accessRights", | ||||
97 | "dcterms:creator", | ||||
98 | "dcterms:description", | ||||
99 | "dcterms:issued", | ||||
100 | "dcterms:language", | ||||
101 | "dcterms:identifier", | ||||
102 | "dcat:theme", | ||||
103 | "dcterms:type", | ||||
104 | "dcat:keyword", | ||||
105 | "dcat:landingPage", | ||||
106 | "dcterms:hasVersion", | ||||
107 | "dcterms:format", | ||||
108 | "mls:task" | ||||
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110 | "description": "The json representation of the dataset with its | ||||
111 | distributions based on DCAT.", | ||||
112 | "format": "JSON", | ||||
113 | "hash": "", | ||||
114 | "id": "0a189a70-9087-4a01-93d6-c037ba7f266c", | ||||
115 | "last_modified": "2024-12-02T22:39:52.192466", | ||||
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117 | "mimetype": "application/json", | ||||
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119 | "name": "Original Metadata", | ||||
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123 | "size": 1060, | ||||
124 | "state": "active", | ||||
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126 | resource/0a189a70-9087-4a01-93d6-c037ba7f266c/download/metadata.json", | ||||
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90 | "services_used_list": "", | 130 | "services_used_list": "", | ||
91 | "state": "active", | 131 | "state": "active", | ||
92 | "tags": [ | 132 | "tags": [ | ||
93 | { | 133 | { | ||
94 | "display_name": "blood biomarkers", | 134 | "display_name": "blood biomarkers", | ||
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121 | { | 161 | { | ||
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127 | } | 167 | } | ||
128 | ], | 168 | ], | ||
129 | "title": "Breast Cancer Diagnosis Using Machine Learning | 169 | "title": "Breast Cancer Diagnosis Using Machine Learning | ||
130 | Techniques", | 170 | Techniques", | ||
131 | "type": "dataset", | 171 | "type": "dataset", | ||
132 | "version": "" | 172 | "version": "" | ||
133 | } | 173 | } |