Zobrazeno 1 - 10
of 6 293
pro vyhledávání: '"POPULATION DATA"'
Autor:
Saygın Hüseyin, Bolat Serkan, Asdemir Aydemir, Öztürk Abuzer, Ergin İsmail E., Doğan Halef O., Korgalı Esat
Publikováno v:
Türk Biyokimya Dergisi, Vol 49, Iss 4, Pp 500-508 (2024)
It is vital to rapid diagnosis and to determine the intensive care unit (ICU) requirement early to reduce the mortality rate in Fournier gangrene (FG) patients. Cell population data (CPD) are the parameters obtained from complete blood count (CBC) an
Externí odkaz:
https://doaj.org/article/beaec4737d89469785f0fca7379269e3
Autor:
Judit Tittmann, Tamás Ágh, Dalma Erdősi, Bettina Csanády, Erika Kövér, Antal Zemplényi, Sándor Kovács, Zoltán Vokó
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Objective Examining the distribution of breast cancer (BC) stage and molecular subtype among women aged below ( 65 years) the recommended screening age range helps to understand the screening program's characteristics and contributes to enha
Externí odkaz:
https://doaj.org/article/81d0956b651844c986e3476b790e51c8
Publikováno v:
In International Journal of Disaster Risk Reduction January 2025 116
Autor:
Michael Seaborne, Hope Jones, Neil Cockburn, Stevo Durbaba, Arturo González-Izquierdo, Amy Hough, Dan Mason, Carlos Sánchez-Soriano, Chris Orton, Armando Méndez-Villalon, Tom Giles, David Ford, Phillip Quinlan, Krish Nirantharakumar, Lucilla Poston, Rebecca Reynolds, Gillian Santorelli, Sinead Brophy
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 2 (2024)
Introduction Birth cohorts are valuable resources for studying early life, the determinants of health, disease, and development. They are essential for studying life course. Dynamic longitudinal electronic cohorts use routinely collected data, are li
Externí odkaz:
https://doaj.org/article/8679ebc5bc0a4ee5af005b3d22642624
Autor:
Moutanou Modeste Judes Zeye, Serge Yannick Ouedraogo, Prosper Bado, Abdou Azaque Zoure, Florencia W. Djigma, Xiang Wu, Jacques Simpore
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Tandem repeat genetic profiles used in forensic applications varies between populations. Despite the diversity and security issues in the Sahel that require the identification of victims (soldiers and civilians), Burkina Faso (BF) remains un
Externí odkaz:
https://doaj.org/article/f7b6151058fe4443be11525732a3ca2e
Publikováno v:
International Journal of Health Geographics, Vol 23, Iss 1, Pp 1-14 (2024)
Abstract Background Assuring that emergency health care (EHC) is accessible is a key objective for health care planners. Conventional accessibility analysis commonly relies on resident population data. However, the allocation of resources based on st
Externí odkaz:
https://doaj.org/article/753149766f074e36aa1a494a38093a50
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34498- (2024)
Background: Sepsis, a severe infectious disease, carries a high mortality rate. Early detection and prompt treatment are crucial for reducing mortality and improving prognosis. The aim of this research is to develop a clinical prediction model using
Externí odkaz:
https://doaj.org/article/d0b8780cfe234c5090ca20ae3b0ac2db
Autor:
Barthelemy, Marc, author, Verbavatz, Vincent, author
Publikováno v:
Statistics and Dynamics of Urban Populations : Empirical Results and Theoretical Approaches, 2023, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192867544.003.0001
Autor:
Yu-Hsin Chang, Chiung-Tzu Hsiao, Yu-Chang Chang, Hsin-Yu Lai, Hsiu-Hsien Lin, Chien-Chih Chen, Lin-Chen Hsu, Shih-Yun Wu, Hong-Mo Shih, Po-Ren Hsueh, Der-Yang Cho
Publikováno v:
Journal of Microbiology, Immunology and Infection, Vol 56, Iss 4, Pp 782-792 (2023)
Background: Bacteremia is a life-threatening complication of infectious diseases. Bacteremia can be predicted using machine learning (ML) models, but these models have not utilized cell population data (CPD). Methods: The derivation cohort from emerg
Externí odkaz:
https://doaj.org/article/8b65a14e4ee04047906a6e1385326752