Zobrazeno 1 - 10
of 217
pro vyhledávání: '"Nesca, A."'
Autor:
Bekelu Negash, Alan Katz, Christine J. Neilson, Moniruzzaman Moni, Marcello Nesca, Alexander Singer, Jennifer E. Enns
Publikováno v:
International Journal of Population Data Science, Vol 8, Iss 1 (2023)
Introduction Using data in research often requires that the data first be de-identified, particularly in the case of health data, which often include Personal Identifiable Information (PII) and/or Personal Health Identifying Information (PHII). There
Externí odkaz:
https://doaj.org/article/0359c1ddd3d942d999628b386989fd0f
Publikováno v:
JMIR Medical Informatics, Vol 11, Pp e45105-e45105 (2023)
Abstract BackgroundLower back pain is a common weakening condition that affects a large population. It is a leading cause of disability and lost productivity, and the associated medical costs and lost wages place a substantial burden on individuals a
Externí odkaz:
https://doaj.org/article/6f30519d46154b4f86dac04e5e930680
Autor:
Leanne Kosowan, Alexander Singer, Farhana Zulkernine, Hasan Zafari, Marcello Nesca, Dhasni Muthumuni
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 12, p e41312 (2022)
BackgroundThe availability of electronic medical record (EMR) free-text data for research varies. However, access to short diagnostic text fields is more widely available. ObjectiveThis study assesses agreement between free-text and short diagnostic
Externí odkaz:
https://doaj.org/article/1e1fb6d6f0f847c38820cd80e005c624
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 1 (2022)
Introduction Unstructured text data (UTD) are increasingly found in many databases that were never intended to be used for research, including electronic medical record (EMR) databases. Data quality can impact the usefulness of UTD for research. UTD
Externí odkaz:
https://doaj.org/article/f1db3b487f284b1f8afab7d1b985fb9e
Autor:
Nesca, Marcello, Au, Wendy, Turnbull, Lorna, Brownell, Marni, Brownridge, Douglas A., Urquia, Marcelo L.
Publikováno v:
In Preventive Medicine August 2021 149
Autor:
NESCA, Cosimo1, MENDICINI, Salvatore2, FRACASSO, Fiorenzo3, CESARANO, Elviro4 elvio.cesarano@marina.difesa.it, BENEFICO, Cataldo5, D’APRILE, Pietro6
Publikováno v:
Giornale di Medicina Militare. may-aug2023, Vol. 173 Issue 2, p67-75. 9p.
Autor:
Johnson Ching-Hong Li, Marcello Nesca, Rory Michael Waisman, Yongtian Cheng, Virginia Man Chung Tze
Publikováno v:
Methodological Innovations, Vol 14 (2021)
A common research question in psychology entails examining whether significant group differences (e.g. male and female) can be found in a list of numeric variables that measure the same underlying construct (e.g. intelligence). Researchers often use
Externí odkaz:
https://doaj.org/article/0d3925886a4c42d98ec4bf18b6922983
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0244537 (2021)
ObjectivesThe unprecedented worldwide social distancing response to COVID-19 resulted in a quick reversal of escalating case numbers. Recently, local governments globally have begun to relax social distancing regulations. Using the situation in Manit
Externí odkaz:
https://doaj.org/article/773a0757bbe84c418e2ea93ab92216bf
Autor:
Marcelo L Urquia, Marcelo Nesca, Randy Walld, Wendy Au, Lorna Turnbull, Marni Brownell, Douglas Brownridge
Publikováno v:
International Journal of Population Data Science, Vol 5, Iss 5 (2020)
Introduction Routine health care information systems only capture a portion of violence against women because some victimized women may not seek health care and some events may not require medical attention. Population-based estimates of the risk of
Externí odkaz:
https://doaj.org/article/1bffc4aa53594675a68c1c12e4b9d648