Machine learning capabilities for the diagnosis of orphan diseases
Rare or orphan diseases belong to one of the most severe groups of diseases. At the same time, early and accurate diagnosis of such diseases is a serious problem for general practitioners, pediatricians and therapists. The article discusses the possibilities of using machine learning methods, includ...
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| Format: | Article |
| Language: | Russian |
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Publishing House OKI
2023-10-01
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| Series: | Реальная клиническая практика: данные и доказательства |
| Subjects: | |
| Online Access: | https://www.myrwd.ru/jour/article/view/46 |
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| _version_ | 1839591704613617664 |
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| author | N. Y. Dmitrieva |
| author_facet | N. Y. Dmitrieva |
| author_sort | N. Y. Dmitrieva |
| collection | DOAJ |
| description | Rare or orphan diseases belong to one of the most severe groups of diseases. At the same time, early and accurate diagnosis of such diseases is a serious problem for general practitioners, pediatricians and therapists. The article discusses the possibilities of using machine learning methods, including artificial intelligence, to improve the diagnosis of rare diseases. Information is provided on various models developed by both international experts and Russian researchers. |
| format | Article |
| id | doaj-art-caea615a8d4b45d29857a6113e5d7b11 |
| institution | Matheson Library |
| issn | 2782-3784 |
| language | Russian |
| publishDate | 2023-10-01 |
| publisher | Publishing House OKI |
| record_format | Article |
| series | Реальная клиническая практика: данные и доказательства |
| spelling | doaj-art-caea615a8d4b45d29857a6113e5d7b112025-08-03T13:00:11ZrusPublishing House OKIРеальная клиническая практика: данные и доказательства2782-37842023-10-0133363910.37489/2782-3784-myrwd-4044Machine learning capabilities for the diagnosis of orphan diseasesN. Y. Dmitrieva0AO "Aston Consulting"Rare or orphan diseases belong to one of the most severe groups of diseases. At the same time, early and accurate diagnosis of such diseases is a serious problem for general practitioners, pediatricians and therapists. The article discusses the possibilities of using machine learning methods, including artificial intelligence, to improve the diagnosis of rare diseases. Information is provided on various models developed by both international experts and Russian researchers.https://www.myrwd.ru/jour/article/view/46orphan diseasesmachine learningrare diseasesclinical registriesobservation programsreal-world datarwdrwe |
| spellingShingle | N. Y. Dmitrieva Machine learning capabilities for the diagnosis of orphan diseases Реальная клиническая практика: данные и доказательства orphan diseases machine learning rare diseases clinical registries observation programs real-world data rwd rwe |
| title | Machine learning capabilities for the diagnosis of orphan diseases |
| title_full | Machine learning capabilities for the diagnosis of orphan diseases |
| title_fullStr | Machine learning capabilities for the diagnosis of orphan diseases |
| title_full_unstemmed | Machine learning capabilities for the diagnosis of orphan diseases |
| title_short | Machine learning capabilities for the diagnosis of orphan diseases |
| title_sort | machine learning capabilities for the diagnosis of orphan diseases |
| topic | orphan diseases machine learning rare diseases clinical registries observation programs real-world data rwd rwe |
| url | https://www.myrwd.ru/jour/article/view/46 |
| work_keys_str_mv | AT nydmitrieva machinelearningcapabilitiesforthediagnosisoforphandiseases |