no code implementations • RANLP 2019 • Ahmed Fadhil, Ahmed Abura{'}ed
We introduce OlloBot, an Arabic conversational agent that assists physicians and supports patients with the care process.
no code implementations • 26 Apr 2019 • Ahmed Fadhil, Gianluca Schiavo, Yunlong Wang
This research provides three main contributions to the preventive healthcare and healthy lifestyle promotion: (1) it presents the conversational agent to aid the caregiver; (2) it aims to decrease caregiver's workload and enhance care given to users, by handling (automating) repetitive caregiver tasks; and (3) it presents a domain independent mobile health conversational agent for health intervention delivery.
no code implementations • 25 Apr 2019 • Ahmed Fadhil
The paper makes three contributions: (1) present the conversational agent as an assistive virtual coach, (2) decrease physicians workload and continuous follow up with patients, all by handling some repetitive physician tasks and performing initial follow up with the patient, (3) present the activity recommender that tracks previous activities and patient information and provides useful insights about possible activity and patient match to the coach.
no code implementations • 3 Mar 2018 • Ahmed Fadhil
There is a need for systems to dynamically interact with ageing populations to gather information, monitor health condition and provide support, especially after hospital discharge or at-home settings.
no code implementations • 3 Mar 2018 • Ahmed Fadhil
Medication adherence is of utmost importance for many chronic conditions, regardless of the disease type.
no code implementations • 3 Mar 2018 • Ahmed Fadhil
Machine learning (ML) is the fastest growing field in computer science and healthcare, providing future benefits in improved medical diagnoses, disease analyses and prevention.
no code implementations • 25 Feb 2018 • Ahmed Fadhil
Poor nutrition can lead to reduced immunity, increased susceptibility to disease, impaired physical and mental development, and reduced productivity.