Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data
The type 1 diabetes community is coalescing around the benefits and advantages of early screening for disease risk. To be accepted by healthcare providers, regulatory authorities and payers, screening programmes need to show that the testing variables allow accurate risk prediction and that individu...
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| Published in: | Diabetologia Vol. 67; no. 6; pp. 985 - 994 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.06.2024
Springer Nature B.V |
| Subjects: | |
| ISSN: | 0012-186X, 1432-0428, 1432-0428 |
| Online Access: | Get full text |
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