Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Noman Dormosh"'
Autor:
Noman Dormosh, Martijn C Schut, Martijn W Heymans, Otto Maarsingh, Jonathan Bouman, Nathalie van der Velde, Ameen Abu-Hanna
Publikováno v:
Age and Ageing, 52(4). Oxford University Press
Age and ageing, 52(4). Oxford University Press
Dormosh, N, Schut, M C, Heymans, M W, Maarsingh, O, Bouman, J, van der Velde, N & Abu-Hanna, A 2023, ' Predicting future falls in older people using natural language processing of general practitioners' clinical notes ', Age and Ageing, vol. 52, no. 4 . https://doi.org/10.1093/ageing/afad046
Age and ageing, 52(4). Oxford University Press
Dormosh, N, Schut, M C, Heymans, M W, Maarsingh, O, Bouman, J, van der Velde, N & Abu-Hanna, A 2023, ' Predicting future falls in older people using natural language processing of general practitioners' clinical notes ', Age and Ageing, vol. 52, no. 4 . https://doi.org/10.1093/ageing/afad046
Background Falls in older people are common and morbid. Prediction models can help identifying individuals at higher fall risk. Electronic health records (EHR) offer an opportunity to develop automated prediction tools that may help to identify fall-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a7245c44ecfddaeaca8c98986051081
https://doi.org/10.1093/ageing/afad046
https://doi.org/10.1093/ageing/afad046
Autor:
Noman Dormosh, Birgit A. Damoiseaux-Volman, Nathalie van der Velde, Stephanie Medlock, Johannes A. Romijn, Ameen Abu-Hanna
Publikováno v:
Journal of the American Medical Directors Association. Elsevier Inc.
Objective: Fall prevention is important in many hospitals. Current fall-risk-screening tools have limited predictive accuracy specifically for older inpatients. Their administration can be time-consuming. A reliable and easy-to-administer tool is des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a08817e5ca0c96d6c25b74c9ee228576
https://doi.org/10.1016/j.jamda.2023.03.006
https://doi.org/10.1016/j.jamda.2023.03.006
Autor:
Noman Dormosh, Martijn W. Heymans, Nathalie van der Velde, Jacqueline Hugtenburg, Otto Maarsingh, Pauline Slottje, Ameen Abu-Hanna, Martijn C. Schut
Publikováno v:
Journal of the American Medical Directors Association, 23(10), 1691-1697.e3. Elsevier Inc.
Dormosh, N, Heymans, M W, van der Velde, N, Hugtenburg, J, Maarsingh, O, Slottje, P, Abu-Hanna, A & Schut, M C 2022, ' External Validation of a Prediction Model for Falls in Older People Based on Electronic Health Records in Primary Care ', Journal of the American Medical Directors Association, vol. 23, no. 10, pp. 1691-1697.e3 . https://doi.org/10.1016/j.jamda.2022.07.002, https://doi.org/10.1016/j.jamda.2022.07.002
Journal of the American Medical Directors Association. Elsevier Inc.
Dormosh, N, Heymans, M W, van der Velde, N, Hugtenburg, J, Maarsingh, O, Slottje, P, Abu-Hanna, A & Schut, M C 2022, ' External Validation of a Prediction Model for Falls in Older People Based on Electronic Health Records in Primary Care ', Journal of the American Medical Directors Association, vol. 23, no. 10, pp. 1691-1697.e3 . https://doi.org/10.1016/j.jamda.2022.07.002, https://doi.org/10.1016/j.jamda.2022.07.002
Journal of the American Medical Directors Association. Elsevier Inc.
Objective: Early identification of older people at risk of falling is the cornerstone of fall prevention. Many fall prediction tools exist but their external validity is lacking. External validation is a prerequisite before application in clinical pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a2e5fd0fc127be36042955ee28fd6b8
https://pubmed.ncbi.nlm.nih.gov/35963283
https://pubmed.ncbi.nlm.nih.gov/35963283
Publikováno v:
Studies in health technology and informatics. 270
Classification systems are widely used in medicine for knowledge representation. The hierarchical relationships between concepts in a classification system can be exploited in prediction models by looking for the optimal predictive granularity level.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::cc0fa4acd0221762345af8f753397e76
https://pubmed.ncbi.nlm.nih.gov/32570386
https://pubmed.ncbi.nlm.nih.gov/32570386