Health Personalisation: From Wellbeing to Medicine
Shlomo Berkovsky
Australian Institute of Health Innovation
Macquarie University
DEIB - Conference Room "E. Gatti" (Building 20)
April 21st, 2023
11.00 am
Contacts:
Paolo Cremonesi
Research Line:
System architectures
Australian Institute of Health Innovation
Macquarie University
DEIB - Conference Room "E. Gatti" (Building 20)
April 21st, 2023
11.00 am
Contacts:
Paolo Cremonesi
Research Line:
System architectures
Sommario
On April 21st, 2023 at 11.00 am Shlomo Berkovsky, leader of the Precision Health stream at the Centre for Health Informatics, Australian Institute of Health Innovation, will give a seminar on "Health Personalisation: From Wellbeing to Medicine" in DEIB Conference Room.
Current agenda of health personalisation and recommendation research mainly revolves around lifestyle and wellbeing. A number of works on personalised technologies for physical activity, food intake, mental support, health information consumption, and more have been presented at related workshops and conferences. While these mainly addressed the patient as the recipient of the personalised service, strikingly little attention has been paid to personalised medical applications targeting clinical users. In this talk, we turn the spotlight to such medical use cases and the advantages personalisation can bring there. We will overview the established health care processes and highlight the touch points, where personalised support can improve the clinician's decision making. Also, we will discuss the differences between patient- and clinician-facing personalisation, particularly focussing on transparency and explainability.
Shlomo Berkovsky is the leader of the Precision Health research stream at Macquarie University. The stream focusses on the use of machine learning methods to develop patient models and personalised predictions of diagnosis and care. Also, the stream studies how sensors and physiological responses can predict medical conditions, and how clinicians and patients interact with health technologies. Shlomo is a Computer Scientist, with deep theoretical and applied expertise of several areas related to human-centric applications of Artificial Intelligence and Machine Learning. His core research areas are user modelling, personalised technologies, and recommender systems, which lie at the intersection of Data Science and Human-Computer Interaction. As such, he studies how people interact online with information, technologies, and other people.
The event will be held online by Webex.
Current agenda of health personalisation and recommendation research mainly revolves around lifestyle and wellbeing. A number of works on personalised technologies for physical activity, food intake, mental support, health information consumption, and more have been presented at related workshops and conferences. While these mainly addressed the patient as the recipient of the personalised service, strikingly little attention has been paid to personalised medical applications targeting clinical users. In this talk, we turn the spotlight to such medical use cases and the advantages personalisation can bring there. We will overview the established health care processes and highlight the touch points, where personalised support can improve the clinician's decision making. Also, we will discuss the differences between patient- and clinician-facing personalisation, particularly focussing on transparency and explainability.
Shlomo Berkovsky is the leader of the Precision Health research stream at Macquarie University. The stream focusses on the use of machine learning methods to develop patient models and personalised predictions of diagnosis and care. Also, the stream studies how sensors and physiological responses can predict medical conditions, and how clinicians and patients interact with health technologies. Shlomo is a Computer Scientist, with deep theoretical and applied expertise of several areas related to human-centric applications of Artificial Intelligence and Machine Learning. His core research areas are user modelling, personalised technologies, and recommender systems, which lie at the intersection of Data Science and Human-Computer Interaction. As such, he studies how people interact online with information, technologies, and other people.
The event will be held online by Webex.
