Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Viktoriya Vasylkiv"'
Autor:
Ridwan A. Sanusi, Lin Yan, Amani F. Hamad, Olawale F. Ayilara, Viktoriya Vasylkiv, Mohammad Jafari Jozani, Shantanu Banerji, Joseph Delaney, Pingzhao Hu, Elizabeth Wall-Wieler, Lisa M. Lix
Publikováno v:
BMC Public Health, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background Diagnosis codes in administrative health data are routinely used to monitor trends in disease prevalence and incidence. The International Classification of Diseases (ICD), which is used to record these diagnoses, have been updated
Externí odkaz:
https://doaj.org/article/770332e40185473db5f409a91ac19e56
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objectives Validation of algorithms to identify health conditions (e.g., diabetes) or service use (e.g., high-cost users) in administrative data is time-consuming and expensive. Many algorithms are only assessed in a single jurisdiction, which may li
Externí odkaz:
https://doaj.org/article/3389932e4923444c82fdbb504f3e293d
Autor:
Amani F. Hamad, Shantanu Banerji, Pingzhao Hu, Mohammad Jafari Jozani, Elizabeth Wall-Wieler, Joseph A. Delaney, Olawale Ayilara, Ridwan Sanusi, Lin Yan, Viktoriya Vasylkiv, Lisa M. Lix
Publikováno v:
International Journal of Population Data Science, Vol 6, Iss 1 (2021)
Introduction Administrative health data capture diagnoses using the International Classification of Diseases (ICD), which has multiple versions over time. To facilitate longitudinal investigations using these data, we aimed to map diagnoses identifie
Externí odkaz:
https://doaj.org/article/3b860ad427b140dc853c9b724b5eee6f
Publikováno v:
Learning & Behavior. 48:124-134
The ability to orient is critical for mobile species. Two visual cues, geometry (e.g., distance and direction) and features (e.g., colour and texture) are often used when establishing one's orientation. Previous research has shown the use of these cu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb75a49f8c2da65bd0fb34e747d0b5a3
https://doi.org/10.3758/s13420-019-00401-9
https://doi.org/10.3758/s13420-019-00401-9
Autor:
Ridwan A. Sanusi, Lin Yan, Amani F. Hamad, Olawale F. Ayilara, Viktoriya Vasylkiv, Mohammad Jafari Jozani, Shantanu Banerji, Joseph Delaney, Pingzhao Hu, Elizabeth Wall-Wieler, Lisa M. Lix
Publikováno v:
BMC public health. 22(1)
Background Diagnosis codes in administrative health data are routinely used to monitor trends in disease prevalence and incidence. The International Classification of Diseases (ICD), which is used to record these diagnoses, have been updated multiple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5644d5477b928871b516d83c9bea409e
https://pubmed.ncbi.nlm.nih.gov/35397596
https://pubmed.ncbi.nlm.nih.gov/35397596
Autor:
Ridwan A. Sanusi, Viktoriya Vasylkiv, Pingzhao Hu, Lisa M. Lix, Lin Yan, Mohammad Jafari Jozani, Amani F. Hamad, Shantanu Banerji, Olawale F. Ayilara, Joseph A.C. Delaney, Elizabeth Wall-Wieler
Publikováno v:
International Journal of Population Data Science
International Journal of Population Data Science, Vol 6, Iss 1 (2021)
International Journal of Population Data Science, Vol 6, Iss 1 (2021)
IntroductionAdministrative health data capture diagnoses using the International Classification of Diseases (ICD), which has multiple versions over time. To facilitate longitudinal investigations using these data, we aimed to map diagnoses identified
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3f8e0d6e9d84d6859570adb66a11cf4
https://pubmed.ncbi.nlm.nih.gov/34007901
https://pubmed.ncbi.nlm.nih.gov/34007901