Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "access_rights": "Public",
2
  "access_rights": "Public",
            
3
  "accrualPeriodicity": "",
3
  "accrualPeriodicity": "",
            
4
  "author": "Yashrajsinh Chudasama",
4
  "author": "Yashrajsinh Chudasama",
            
5
  "author_email": "yashrajsinh.chudasama@tib.eu",
5
  "author_email": "yashrajsinh.chudasama@tib.eu",
            
6
  "citation": [],
6
  "citation": [],
            
7
  "conformsTo": "",
7
  "conformsTo": "",
            
8
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
8
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
9
  "defined_in": "https://doi.org/10.3233/SSW240012",
9
  "defined_in": "https://doi.org/10.3233/SSW240012",
            
10
  "doi": "10.57702/z26cs7i9",
10
  "doi": "10.57702/z26cs7i9",
            
11
  "doi_date_published": "2024-09-16",
11
  "doi_date_published": "2024-09-16",
            
12
  "doi_publisher": "TIB",
12
  "doi_publisher": "TIB",
            
13
  "doi_status": true,
13
  "doi_status": true,
            
14
  "domain": "https://ldm.kisski.de",
14
  "domain": "https://ldm.kisski.de",
            
15
  "end_date": "",
15
  "end_date": "",
            
16
  "extra_authors": [
16
  "extra_authors": [
            
17
    {
17
    {
            
18
      "extra_author": "Disha Purohit",
18
      "extra_author": "Disha Purohit",
            
19
      "orcid": "0000-0002-1442-335X"
19
      "orcid": "0000-0002-1442-335X"
            
20
    },
20
    },
            
21
    {
21
    {
            
22
      "extra_author": "Philipp D. Rohde",
22
      "extra_author": "Philipp D. Rohde",
            
23
      "orcid": "0000-0002-9835-4354"
23
      "orcid": "0000-0002-9835-4354"
            
24
    },
24
    },
            
25
    {
25
    {
            
26
      "extra_author": "Enrique Iglesias",
26
      "extra_author": "Enrique Iglesias",
            
27
      "orcid": "0000-0002-8734-3123"
27
      "orcid": "0000-0002-8734-3123"
            
28
    },
28
    },
            
29
    {
29
    {
            
30
      "extra_author": "Maria Torrente",
30
      "extra_author": "Maria Torrente",
            
31
      "orcid": ""
31
      "orcid": ""
            
32
    },
32
    },
            
33
    {
33
    {
            
34
      "extra_author": "Maria-Esther Vidal",
34
      "extra_author": "Maria-Esther Vidal",
            
35
      "orcid": "0000-0003-1160-8727"
35
      "orcid": "0000-0003-1160-8727"
            
36
    }
36
    }
            
37
  ],
37
  ],
            
38
  "extras": [
38
  "extras": [
            
39
    {
39
    {
            
40
      "__extras": {
40
      "__extras": {
            
41
        "id": "3a0a2f51-0fe1-4dd0-9626-8031783d1b83",
41
        "id": "3a0a2f51-0fe1-4dd0-9626-8031783d1b83",
            
42
        "package_id": "c5173c4c-edcd-498d-bb99-45890cfcfc01",
42
        "package_id": "c5173c4c-edcd-498d-bb99-45890cfcfc01",
            
43
        "state": "active"
43
        "state": "active"
            
44
      },
44
      },
            
45
      "key": "",
45
      "key": "",
            
46
      "value": ""
46
      "value": ""
            
47
    }
47
    }
            
48
  ],
48
  ],
            
49
  "groups": [],
49
  "groups": [],
            
50
  "id": "c5173c4c-edcd-498d-bb99-45890cfcfc01",
50
  "id": "c5173c4c-edcd-498d-bb99-45890cfcfc01",
            
51
  "isopen": true,
51
  "isopen": true,
            
52
  "landing_page": "",
52
  "landing_page": "",
            
53
  "language": "English",
53
  "language": "English",
            
54
  "license_id": "cc-by",
54
  "license_id": "cc-by",
            
55
  "license_title": "Creative Commons Attribution",
55
  "license_title": "Creative Commons Attribution",
            
56
  "license_url": "http://www.opendefinition.org/licenses/cc-by",
56
  "license_url": "http://www.opendefinition.org/licenses/cc-by",
            
n
57
  "link_orkg": "https://orkg.org/paper/R735304",
n
57
  "link_orkg": "",
            
58
  "maintainer": "Yashrajsinh Chudasama",
58
  "maintainer": "Yashrajsinh Chudasama",
            
59
  "maintainer_email": "yashrajsinh.chudasama@tib.eu",
59
  "maintainer_email": "yashrajsinh.chudasama@tib.eu",
            
60
  "metadata_created": "2024-09-16T09:50:35.797885",
60
  "metadata_created": "2024-09-16T09:50:35.797885",
            
t
61
  "metadata_modified": "2024-09-16T09:58:34.842635",
t
61
  "metadata_modified": "2024-09-16T10:12:50.698634",
            
62
  "name": 
62
  "name": 
            
63
redictive-models-for-interpretable-insights-into-lung-cancer-relapse",
63
redictive-models-for-interpretable-insights-into-lung-cancer-relapse",
            
64
  "notes": "SemDesLC predicts lung cancer relapse likelihood, 
64
  "notes": "SemDesLC predicts lung cancer relapse likelihood, 
            
65
providing oncologists with patient-centric and population-centric 
65
providing oncologists with patient-centric and population-centric 
            
66
analysis. Our approach bridge the gap and fulfill the needs of three 
66
analysis. Our approach bridge the gap and fulfill the needs of three 
            
67
different type of users: KG builders, analysts and consumers. This 
67
different type of users: KG builders, analysts and consumers. This 
            
68
repository contains all the necessary scripts and instructions to 
68
repository contains all the necessary scripts and instructions to 
            
69
reproduce the experiments.",
69
reproduce the experiments.",
            
70
  "num_resources": 1,
70
  "num_resources": 1,
            
71
  "num_tags": 3,
71
  "num_tags": 3,
            
72
  "orcid": "0000-0003-3422-366X",
72
  "orcid": "0000-0003-3422-366X",
            
73
  "organization": {
73
  "organization": {
            
74
    "approval_status": "approved",
74
    "approval_status": "approved",
            
75
    "created": "2017-11-23T17:30:37.757128",
75
    "created": "2017-11-23T17:30:37.757128",
            
76
    "description": "The German National Library of Science and 
76
    "description": "The German National Library of Science and 
            
77
Technology, abbreviated TIB, is the national library of the Federal 
77
Technology, abbreviated TIB, is the national library of the Federal 
            
78
Republic of Germany for all fields of engineering, technology, and the 
78
Republic of Germany for all fields of engineering, technology, and the 
            
79
natural sciences.",
79
natural sciences.",
            
80
    "id": "0c5362f5-b99e-41db-8256-3d0d7549bf4d",
80
    "id": "0c5362f5-b99e-41db-8256-3d0d7549bf4d",
            
81
    "image_url": 
81
    "image_url": 
            
82
3conf/ext/tib_tmpl_bootstrap/Resources/Public/images/TIB_Logo_en.png",
82
3conf/ext/tib_tmpl_bootstrap/Resources/Public/images/TIB_Logo_en.png",
            
83
    "is_organization": true,
83
    "is_organization": true,
            
84
    "name": "tib",
84
    "name": "tib",
            
85
    "state": "active",
85
    "state": "active",
            
86
    "title": "TIB",
86
    "title": "TIB",
            
87
    "type": "organization"
87
    "type": "organization"
            
88
  },
88
  },
            
89
  "owner_org": "0c5362f5-b99e-41db-8256-3d0d7549bf4d",
89
  "owner_org": "0c5362f5-b99e-41db-8256-3d0d7549bf4d",
            
90
  "page": "",
90
  "page": "",
            
91
  "private": false,
91
  "private": false,
            
92
  "relationships_as_object": [],
92
  "relationships_as_object": [],
            
93
  "relationships_as_subject": [],
93
  "relationships_as_subject": [],
            
94
  "resources": [
94
  "resources": [
            
95
    {
95
    {
            
96
      "auto_update_last_update": "",
96
      "auto_update_last_update": "",
            
97
      "cache_last_updated": null,
97
      "cache_last_updated": null,
            
98
      "cache_url": null,
98
      "cache_url": null,
            
99
      "created": "2024-09-16T09:57:09.249019",
99
      "created": "2024-09-16T09:57:09.249019",
            
100
      "description": "In the scope of experiments, we employ an 
100
      "description": "In the scope of experiments, we employ an 
            
101
anonymized synthetic lung cancer benchmark that comprises clinical 
101
anonymized synthetic lung cancer benchmark that comprises clinical 
            
102
data extracted from heterogeneous sources such as publications, 
102
data extracted from heterogeneous sources such as publications, 
            
103
clinical trials, and clinical records representing patients diagnosed 
103
clinical trials, and clinical records representing patients diagnosed 
            
104
with lung cancer. The benchmark includes around 1200 patients with 
104
with lung cancer. The benchmark includes around 1200 patients with 
            
105
different medical characteristics.",
105
different medical characteristics.",
            
106
      "format": "nt",
106
      "format": "nt",
            
107
      "hash": "",
107
      "hash": "",
            
108
      "id": "cecefa3c-9fc5-43cf-aca7-4085a7170531",
108
      "id": "cecefa3c-9fc5-43cf-aca7-4085a7170531",
            
109
      "language": "English",
109
      "language": "English",
            
110
      "last_modified": "2024-09-16T09:57:09.226656",
110
      "last_modified": "2024-09-16T09:57:09.226656",
            
111
      "media": "",
111
      "media": "",
            
112
      "metadata_modified": "2024-09-16T09:57:09.238515",
112
      "metadata_modified": "2024-09-16T09:57:09.238515",
            
113
      "mimetype": null,
113
      "mimetype": null,
            
114
      "mimetype_inner": null,
114
      "mimetype_inner": null,
            
115
      "name": "Synthetic Lung Cancer KG",
115
      "name": "Synthetic Lung Cancer KG",
            
116
      "package_id": "c5173c4c-edcd-498d-bb99-45890cfcfc01",
116
      "package_id": "c5173c4c-edcd-498d-bb99-45890cfcfc01",
            
117
      "position": 0,
117
      "position": 0,
            
118
      "resource_type": null,
118
      "resource_type": null,
            
119
      "rights": "",
119
      "rights": "",
            
120
      "size": 11617137,
120
      "size": 11617137,
            
121
      "state": "active",
121
      "state": "active",
            
122
      "url": 
122
      "url": 
            
123
resource/cecefa3c-9fc5-43cf-aca7-4085a7170531/download/lungcancer.nt",
123
resource/cecefa3c-9fc5-43cf-aca7-4085a7170531/download/lungcancer.nt",
            
124
      "url_type": "upload"
124
      "url_type": "upload"
            
125
    }
125
    }
            
126
  ],
126
  ],
            
127
  "services_used_list": "",
127
  "services_used_list": "",
            
128
  "spatial": "",
128
  "spatial": "",
            
129
  "spatial_resolution": "",
129
  "spatial_resolution": "",
            
130
  "start_date": "",
130
  "start_date": "",
            
131
  "state": "active",
131
  "state": "active",
            
132
  "tags": [
132
  "tags": [
            
133
    {
133
    {
            
134
      "display_name": "healthcare",
134
      "display_name": "healthcare",
            
135
      "id": "e187bf66-1085-49ef-a3dc-34dc68276244",
135
      "id": "e187bf66-1085-49ef-a3dc-34dc68276244",
            
136
      "name": "healthcare",
136
      "name": "healthcare",
            
137
      "state": "active",
137
      "state": "active",
            
138
      "vocabulary_id": null
138
      "vocabulary_id": null
            
139
    },
139
    },
            
140
    {
140
    {
            
141
      "display_name": "knowledge graphs",
141
      "display_name": "knowledge graphs",
            
142
      "id": "ced6fd37-7da2-4c92-bd14-7c87e05c1a5b",
142
      "id": "ced6fd37-7da2-4c92-bd14-7c87e05c1a5b",
            
143
      "name": "knowledge graphs",
143
      "name": "knowledge graphs",
            
144
      "state": "active",
144
      "state": "active",
            
145
      "vocabulary_id": null
145
      "vocabulary_id": null
            
146
    },
146
    },
            
147
    {
147
    {
            
148
      "display_name": "machine learning",
148
      "display_name": "machine learning",
            
149
      "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b",
149
      "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b",
            
150
      "name": "machine learning",
150
      "name": "machine learning",
            
151
      "state": "active",
151
      "state": "active",
            
152
      "vocabulary_id": null
152
      "vocabulary_id": null
            
153
    }
153
    }
            
154
  ],
154
  ],
            
155
  "temporal_resolution": "",
155
  "temporal_resolution": "",
            
156
  "title": "Semantically Describing Predictive Models for 
156
  "title": "Semantically Describing Predictive Models for 
            
157
Interpretable Insights into Lung Cancer Relapse",
157
Interpretable Insights into Lung Cancer Relapse",
            
158
  "type": "dataset",
158
  "type": "dataset",
            
159
  "url": "https://github.com/SDM-TIB/SemDesLC",
159
  "url": "https://github.com/SDM-TIB/SemDesLC",
            
160
  "version": "",
160
  "version": "",
            
161
  "version_note": ""
161
  "version_note": ""
            
162
}
162
}