Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Arshed A. Ahmad"'
Publikováno v:
An International Journal of Optimization and Control: Theories & Applications, Vol 13, Iss 2 (2023)
Healthcare enables the maintenance of health through some physical and mental care for the prevention, diagnosis and treatment of disease. Diagnosis of anemia, one of the most common health problems of the age, is also very ambitious. Whereas, pathol
Externí odkaz:
https://doaj.org/article/69d7be62920d48d48819ea16a634f48d
Autor:
Murat Sari, Arshed A. Ahmad
Publikováno v:
International Journal of Analysis and Applications, Vol 17, Iss 5, Pp 838-849 (2019)
The aim of this article is to forecast anemia from a population through biomedical variables of individuals using the multiple linear regression model. The study is conducted in terms of dataset consisting of 539 subjects provided from blood laborato
Externí odkaz:
https://doaj.org/article/00315abe21f341308d7b11652e8b8143
Publikováno v:
Diyala Journal of Medicine, Vol 25, Iss 2 (2023)
Background: The coronavirus disease 2019 pandemic continues, causing considerable morbidity and mortality worldwide. Real-time reverse transcription polymerase chain reaction (RT-PCR) diagnostic assays are a goal standard for case ascertainment and d
Externí odkaz:
https://doaj.org/article/a51194ed5abd44f9abdce39ed2c6658e
Autor:
Arshed A. Ahmad, Murat Sari
Publikováno v:
Journal of Medical Imaging and Health Informatics. 10:261-267
Publikováno v:
DeSE
Iron or vitamin lack on the human body can be avoided to prevent some types of diseases like anemia. Anemia causes severe health problems like pregnancy complications or even heart real issues if not a predicted at earlier stages. In this paper, data
Publikováno v:
2020 International Conference for Emerging Technology (INCET).
Deficiency in healthy Red Blood Cells (RBC) leads to insufficient oxygen to be carried to whole blood tissues. Many reasons cause such an issue like iron or vitamin deficiency which is known as Anemia. Pregnant women, children under the age of 6, peo
Publikováno v:
Mathematical Modelling and Optimization of Engineering Problems ISBN: 9783030370619
The aim of this paper is to predict different types of pathological subjects from a population through the physical observational variables (HB, RBC, MCH, WBC, MCV, HCT, MCHC, PLT), sex, and age. To achieve this, we have used a multilinear regression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f45efcc73bc8e8124a84b88c5e841771
https://doi.org/10.1007/978-3-030-37062-6_4
https://doi.org/10.1007/978-3-030-37062-6_4
Publikováno v:
Volume: 70, Issue: 1 468-482
Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics
Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics
In this paper, a nonlinear medical model based on observational variables has been produced and the particle swarm optimization (PSO) technique, which is an effective technique to predict optimum parameters of the biomedical model, has been used. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::626f7a694c15e09f06dc08428a872c04
https://dergipark.org.tr/tr/pub/cfsuasmas/issue/58214/644071
https://dergipark.org.tr/tr/pub/cfsuasmas/issue/58214/644071
Publikováno v:
Diyala Journal of Medicine, Vol 20, Iss 2 (2021)
Background: In 2019, a novel coronavirus was identified. It first appeared in Wuhan, China and caused a cluster of pneumonia cases. The virus was named severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). The World Health Organization design
Externí odkaz:
https://doaj.org/article/bdada746bb924eaa8be8a21e67f57411