An artifiсial intelligence computer system for differential diagnosis of lysosomal storage diseases
Aim. To improve the efficiency of diagnosis of hereditary lysosomal storage diseases using an intelligent computerbased decision support system.Materials and methods. Descriptions of 35 clinical cases from the literature and depersonalized data of 52 patients from electronic health records were used...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Siberian State Medical University (Tomsk)
2022-07-01
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| Series: | Бюллетень сибирской медицины |
| Subjects: | |
| Online Access: | https://bulletin.ssmu.ru/jour/article/view/4815 |
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