Rasheed El-Bouri
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View article: Deep reinforcement learning for multi-class imbalanced training: applications in healthcare
Deep reinforcement learning for multi-class imbalanced training: applications in healthcare Open
With the rapid growth of memory and computing power, datasets are becoming increasingly complex and imbalanced. This is especially severe in the context of clinical data, where there may be one rare event for many cases in the majority cla…
View article: An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates
An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates Open
Teaching artificial intelligence (AI) is challenging. It is a fast moving field and therefore difficult to keep people updated with the state-of-the-art. Educational offerings for students are ever increasing, beyond university degree prog…
View article: Deep Reinforcement Learning for Multi-class Imbalanced Training
Deep Reinforcement Learning for Multi-class Imbalanced Training Open
With the rapid growth of memory and computing power, datasets are becoming increasingly complex and imbalanced. This is especially severe in the context of clinical data, where there may be one rare event for many cases in the majority cla…
View article: An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates
An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates Open
Teaching artificial intelligence (AI) is challenging. It is a fast moving field and therefore difficult to keep people updated with the state-of-the-art. Educational offerings for students are ever increasing, beyond university degree prog…
View article: Turath-150K: Image Database of Arab Heritage
Turath-150K: Image Database of Arab Heritage Open
Large-scale image databases remain largely biased towards objects and activities encountered in a select few cultures. This absence of culturally-diverse images, which we refer to as the hidden tail, limits the applicability of pre-trained…
View article: Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge
Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge Open
Background Delays in patient flow and a shortage of hospital beds are commonplace in hospitals during periods of increased infection incidence, such as seasonal influenza and the COVID-19 pandemic. The objective of this study was to develo…
View article: Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning Open
Given the abundance and ease of access of personal data today, individual privacy has become of paramount importance, particularly in the healthcare domain. In this work, we aim to utilise patient data extracted from multiple hospital data…
View article: Development and validation of early warning score systems for COVID‐19 patients
Development and validation of early warning score systems for COVID‐19 patients Open
COVID‐19 is a major, urgent, and ongoing threat to global health. Globally more than 24 million have been infected and the disease has claimed more than a million lives as of November 2020. Predicting which patients will need respiratory s…
View article: Machine learning in patient flow: a review
Machine learning in patient flow: a review Open
This work is a review of the ways in which machine learning has been used in order to plan, improve or aid the problem of moving patients through healthcare services. We decompose the patient flow problem into four subcategories: predictio…
View article: A course-focused dual curriculum for image captioning
A course-focused dual curriculum for image captioning Open
We propose a curriculum learning captioning method to caption fetal ultrasound images by training a model to dynamically transition between two different modalities (image and text) as training progresses. Specifically, we propose a course…
View article: Development and Validation of Early Warning Score Systems for COVID-19 Patients
Development and Validation of Early Warning Score Systems for COVID-19 Patients Open
COVID-19 is a major, urgent, and ongoing threat to global health. Globally more than 24 million have been infected and the disease has claimed more than a million lives as of October 2020. Predicting which patients will need respiratory su…
View article: Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location Open
Accurate and reliable prediction of hospital admission location is important due to resource-constraints and space availability in a clinical setting, particularly when dealing with patients who come from the emergency department. In this …
View article: Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care
Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care Open
It is hoped that this predictor will be of value to healthcare institutions by allowing for the planning of resource and bed space ahead of the need for it. This in turn should speed up the provision of care for the patient and allow flow …