E-health management and precision health
8th May 2024

Wednesday 8th May 2024 / 11am - 12:45pm / Online


Wednesday May 8th, 11:00 – 12:45, Online.

To register for this event, please email: smqb@contacts.bham.ac.uk

Speakers:

Professor Ray, Founder of the Centre For Entrepreneurship (CFE), University of Michigan-Shanghai Jiao Tong University Joint Institute, China, will present:

Integrated Management from e-Health Systems Perspective @ 11:00 to 11:45

Professor Muthuraman, Head of the group Neural Engineering with Signal Analytics and Artificial Intelligence (NESA-AI), Julius Maximilian University of Würzburg, Germany will present:

Development and application of biostatistical methods to improve predictive modelling of clinical data for precision medicine @ 12:00 to 12:45

Full details:

Integrated Management from e-Health Systems Perspective

Professor Pradeep Ray, Founder of the Centre For Entrepreneurship (CFE), University of Michigan-Shanghai Jiao Tong University Joint Institute, China

Integrated Management has been the term used for managing the deployment and operation of networked services in an organization and it emphasized the need for integrating the management of the networks (within and outside the organization), systems (desktops, laptops, servers etc.) and applications (on various devices) from the perspective of an eHealth service. Frameworks have evolved over the years along with various types of intelligent tools. While the integrated management focus has evolved from fault management concerns (e.g., event correlation) to security management (defense from malicious attacks) of networked services, more and more sophisticated techniques are emerging at people, process, concept, and technique levels. This talk will start with Pradeep’s Springer (2003) book “Integrated Management from e-Business Perspective” to discuss the evolution of integrated management methods for eHealth systems over last two decades with examples, such as cooperative management at people level, ITIL at process level, ontologies at concept/semantics level and artificial immune systems at a technique level.
Bio: Pradeep Ray is the Founder of the Centre For Entrepreneurship (CFE) at the University of Michigan Joint Institute in Shanghai Jiao Tong University, China. Pradeep has been the founder Director (2006-2016) of the Asia Pacific ubiquitous Healthcare research Centre (APuHC) at the University of New South Wales (UNSW)-Australia. APuHC worked on a multi-disciplinary approach to solving integrated management problems with collaborative research across business, medicine and engineering with academic staff and research students from all these disciplines working together to solve real world problems.

Development and application of biostatistical methods to improve predictive modeling of clinical data for precision medicine

Professor Muthuraman Muthuraman, head of the group Neural Engineering with Signal Analytics and Artificial Intelligence (NESA-AI), Julius Maximilian university of Würzburg, Germany

The primary aim of this talk in order develop and apply biostatistical methods to improve predictive modelling of data for precision medicine. In order to achieve such a solid framework for different type of datasets the selection of methods are important. However, currently their is no universal method which can be applied for data gathered from humans. To understand the given data at hand, first statistical tools which consider the distribution of the data namely Bayesian posterior distribution will be discussed. Second, to counter one of the most important problems in most of the clinical datasets is the demographics namely matching cohorts for sex would be considered with propensity score matching analyses. To model complex datasets, with several input and output variables the structural equation modelling will be deliberated. After understanding and modelling the datasets the prediction will be covered with some machine and deep learning approaches and finally some applications to datasets from multimodal, longitudinal and signal based analyses will be explored. For each methodological aspect an example will be provided with obtained results. The applications will be highlighted with examples and corresponding results.

 

To register for this event, please email: smqb@contacts.bham.ac.uk

Additional Resources

Participants