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Akademický článek

Co-designing of Patient Safety Incident Disclosure Process in Primary Healthcare System in Qatar

Autor: Nawal Khattabi, Reena Francis, Reem Abdul Malik, Amal Al Ali, Mariam Abdul Malik

Publikováno v: Patient Experience Journal, Vol 11, Iss 1 (2024)

The importance of disclosing a patient safety incident to the patient involved is recognized. In Qatar, there is no legal requirement for disclosure. The primary health care system in Qatar includes 30 health centers located around the country, manag

Externí odkaz: https://doaj.org/article/412630e7abf9488fa75f1e93b076ee58

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Akademický článek

Implementing a patient engagement framework in the primary healthcare system in Qatar

Autor: Nawal Khattabi, Mohammed Abdalla, Amal Al Ali, Mariam Abdul Malik

Publikováno v: Patient Experience Journal, Vol 10, Iss 3 (2023)

The healthcare system in Qatar has acknowledged the need for patient-centered care (PCC) in its strategic intentions. The primary care system in Qatar consists of 31 health centers located throughout the country, managed by the Primary Health Care Co

Externí odkaz: https://doaj.org/article/00a7c44e83e742519de4f2118b071920

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Akademický článek

An Efficient Association Rule Mining From Distributed Medical Databases for Predicting Heart Diseases

Autor: Ahmed M. Khedr, Zaher Al Aghbari, Amal Al Ali, Mariam Eljamil

Publikováno v: IEEE Access, Vol 9, Pp 15320-15333 (2021)

Electronic Health Records (EHRs) are aggregated, combined and analyzed for suitable treatment planning and safe therapeutic procedures of patients. Integrated EHRs facilitate the examination, diagnosis and treatment of diseases. However, the existing

Externí odkaz: https://doaj.org/article/3128a541d3734f3fbb360b2deefc37e7

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Akademický článek

GALSTM-FDP: A Time-Series Modeling Approach Using Hybrid GA and LSTM for Financial Distress Prediction

Autor: Amal Al Ali, Ahmed M. Khedr, Magdi El Bannany, Sakeena Kanakkayil

Publikováno v: International Journal of Financial Studies, Vol 11, Iss 1, p 38 (2023)

Despite the obvious benefits and growing popularity of Machine Learning (ML) technology, there are still concerns regarding its ability to provide Financial Distress Prediction (FDP). An accurate FDP model is required to avoid financial risk at the l

Externí odkaz: https://doaj.org/article/5cfe12b2102d431fb51700c5843850b9

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Akademický článek

A Powerful Predicting Model for Financial Statement Fraud Based on Optimized XGBoost Ensemble Learning Technique

Autor: Amal Al Ali, Ahmed M. Khedr, Magdi El-Bannany, Sakeena Kanakkayil

Publikováno v: Applied Sciences, Vol 13, Iss 4, p 2272 (2023)

This study aims to develop a better Financial Statement Fraud (FSF) detection model by utilizing data from publicly available financial statements of firms in the MENA region. We develop an FSF model using a powerful ensemble technique, the XGBoost (

Externí odkaz: https://doaj.org/article/c3ac4579ad294a438ac4e6a3165d5af8

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Akademický článek

Impact of targeted education on managing warning and error signals by children and adolescents with type 1 diabetes using the Accu-Chek Combo Insulin Pump System

Autor: Asma Deeb, Nabras Al Qahtani, Amal Al Ali, Mariette Akle

Publikováno v: Annals of Pediatric Endocrinology & Metabolism, Vol 22, Iss 3, Pp 170-175 (2017)

Purpose Insulin pumps are widely used in diabetes. They are equipped with safety alarms to alert users. Pump manuals contain alarm codes and how to troubleshoot them. However, these manuals are lengthy and difficult to use, particularly in emergencie

Externí odkaz: https://doaj.org/article/83a2a3f85f504e09aff985d115456766

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