{"id":407566,"date":"2024-10-20T05:26:41","date_gmt":"2024-10-20T05:26:41","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/ieee-2801-2022\/"},"modified":"2024-10-26T09:53:54","modified_gmt":"2024-10-26T09:53:54","slug":"ieee-2801-2022","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/ieee\/ieee-2801-2022\/","title":{"rendered":"IEEE 2801-2022"},"content":{"rendered":"
New IEEE Standard – Active. Promoted in this recommended practice are quality management activities for datasets used for artificial intelligence medical devices (AIMD). The document highlights quality objectives for organizations responsible for datasets. The document describes control of records during the lifecycle of datasets, including but not limited to data collection, annotation, transfer, utilization, storage, maintenance, updates, retirement, and other activities. The document emphasizes special consideration for the dataset quality management system, including but not limited to responsibility management, resource management, dataset realization, and quality control.<\/p>\n
PDF Pages<\/th>\n | PDF Title<\/th>\n<\/tr>\n | ||||||
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1<\/td>\n | IEEE Std 2801-2022 Front cover <\/td>\n<\/tr>\n | ||||||
2<\/td>\n | Title page <\/td>\n<\/tr>\n | ||||||
4<\/td>\n | Important Notices and Disclaimers Concerning IEEE Standards Documents <\/td>\n<\/tr>\n | ||||||
8<\/td>\n | Participants <\/td>\n<\/tr>\n | ||||||
10<\/td>\n | Introduction <\/td>\n<\/tr>\n | ||||||
11<\/td>\n | Contents <\/td>\n<\/tr>\n | ||||||
12<\/td>\n | 1.\u2002Overview 1.1\u2002Scope 1.2\u2002Purpose 1.3\u2002Word usage <\/td>\n<\/tr>\n | ||||||
13<\/td>\n | 2.\u2002Normative references 3.\u2002Definitions 4.\u2002Recommendation for documentation 4.1\u2002Data set file 4.2\u2002Control of records <\/td>\n<\/tr>\n | ||||||
14<\/td>\n | 5.\u2002Recommendation for management responsibility 5.1\u2002Quality objectives <\/td>\n<\/tr>\n | ||||||
16<\/td>\n | 5.2\u2002Personnel and responsibility <\/td>\n<\/tr>\n | ||||||
17<\/td>\n | 6.\u2002Recommendation for resource management 6.1\u2002Personnel requirement <\/td>\n<\/tr>\n | ||||||
18<\/td>\n | 6.2\u2002Tool requirement 7.\u2002Recommendation for data set lifecycle 7.1\u2002Design input <\/td>\n<\/tr>\n | ||||||
19<\/td>\n | 7.2\u2002Data collection 7.3\u2002Data preprocessing <\/td>\n<\/tr>\n | ||||||
21<\/td>\n | 7.4\u2002Annotation 7.5\u2002Data set entry 7.6\u2002Data set storage <\/td>\n<\/tr>\n | ||||||
22<\/td>\n | 7.7\u2002Data set distribution 7.8\u2002Maintenance and handling of data sets <\/td>\n<\/tr>\n | ||||||
23<\/td>\n | 7.9\u2002Data modification and update 7.10\u2002Data augmentation <\/td>\n<\/tr>\n | ||||||
24<\/td>\n | 7.11\u2002Data retirement 8.\u2002Recommendations for quality control, privacy, and security 8.1\u2002Verification of data set quality 8.2\u2002Control of data set bias <\/td>\n<\/tr>\n | ||||||
25<\/td>\n | 8.3\u2002Control of privacy leakage <\/td>\n<\/tr>\n | ||||||
26<\/td>\n | 8.4\u2002Control of data security <\/td>\n<\/tr>\n | ||||||
27<\/td>\n | Annex\u00a0A (informative) Examples of quality measurement for data sets <\/td>\n<\/tr>\n | ||||||
28<\/td>\n | Annex\u00a0B (informative) Discussion on ethical and societal consideration of data sets <\/td>\n<\/tr>\n | ||||||
29<\/td>\n | Annex\u00a0C (informative) Bibliography <\/td>\n<\/tr>\n | ||||||
31<\/td>\n | Back cover <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":" IEEE Recommended Practice for the Quality Management of Datasets for Medical Artificial Intelligence<\/b><\/p>\n |