Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Amir Hajjam El Hassani"'
Publikováno v:
Journal of Imaging, Vol 10, Iss 2, p 30 (2024)
Breast cancer is considered one of the most-common types of cancers among females in the world, with a high mortality rate. Medical imaging is still one of the most-reliable tools to detect breast cancer. Unfortunately, manual image detection takes m
Externí odkaz:
https://doaj.org/article/080838f80a7646f594beb5ed55c88105
Publikováno v:
IEEE Access, Vol 10, Pp 100786-100796 (2022)
Heart disease has become a non-ignorable threat to human health in recent years. Once without timely diagnosis and treatment, patients often suffer disability or even death. However, the diagnosis accuracy directly relies on different doctors’ expe
Externí odkaz:
https://doaj.org/article/c1d736f3edcf4124b03191c3774d62ce
Autor:
Abrar-Ahmad Zulfiqar, Delwende Noaga Damien Massimbo, Mohamed Hajjam, Bernard Gény, Samy Talha, Jawad Hajjam, Sylvie Ervé, Amir Hajjam El Hassani, Emmanuel Andrès
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Introduction: The coronavirus disease 2019 (COVID-19) pandemic has necessitated the use of new technologies and new processes to care for hospitalized patients, including diabetes patients. This was the basis for the “GER-e-TEC COVID study,” an e
Externí odkaz:
https://doaj.org/article/730a884ac8b3435290dfbf4777ebf38f
Publikováno v:
Informatics in Medicine Unlocked, Vol 19, Iss , Pp 100330- (2020)
The prediction of cardiac disease helps practitioners make more accurate decisions regarding patients' health. Therefore, the use of machine learning (ML) is a solution to reduce and understand the symptoms related to heart disease. The aim of this w
Externí odkaz:
https://doaj.org/article/79e54a2a745e49658d089301c4cc35fa
Autor:
Abrar-Ahmad Zulfiqar, Noël Lorenzo-Villalba, Oumair-Ahmad Zulfiqar, Mohamed Hajjam, Quentin Courbon, Lucie Esteoulle, Bernard Geny, Samy Talha, Dominique Letourneau, Jawad Hajjam, Sylvie Erve, Amir Hajjam El Hassani, Emmanuel Andres
Publikováno v:
Medicines, Vol 7, Iss 8, p 41 (2020)
Background: Elderly residents in nursing homes have multiple comorbidities (including cognitive and psycho-behavioral pathologies, malnutrition, heart failure, diabetes, chronic obstructive pulmonary disease, and renal failure) and use multiple medic
Externí odkaz:
https://doaj.org/article/740d1e5d44f54ff29eea6f2b357e9e96
Publikováno v:
IFAC-PapersOnLine. 55:3130-3135
Publikováno v:
IEEE Sensors Journal. 21:5678-5686
Along with the rapid growth of the elderly population, the hospital quality and the safety of patients have become one of the priority concerns in the past few decades. The majority of injuries in the elderly result from bed -falls since the bed is a
Publikováno v:
RAIRO - Operations Research. 55:S1013-S1036
Home health care structures provide care for the elderly, people with disabilities as well as patients with chronic conditions. Since there has been an increase in demand, organizations providing home health care are eager to optimize their activitie
Autor:
Emmanuel ANDRES, Samy Talha, Abrar-Ahmad Zulfiqar, Noel Lorenzo Villalba, Mohamed Hajjam, Bernard Gény, Amir Hajjam El Hassani
Publikováno v:
Cardiovascular Disorder and Medicine. :1-5
In recent years, several technological innovations have become part of the daily lives of patients suffered from chronic diseases. It is the case for chronic heart failure with non-invasive sensors, telemedicine, and artificial intelligence. A review
Publikováno v:
IFAC-PapersOnLine. 53:10773-10778
This paper formulates a mixed-integer programming model for a mid-term home health care routing and scheduling problem with considering several real-life constraints, such as continuity of care, time window, qualification of caregivers, and a flexibl