Key takeaways
The PhD project will explore if and how Natural Language Processing and Advanced Statistical Methods can improve prediction accuracy regarding the outcome of medical treatment. The ultimate aim is to use these approaches to develop reliable clinical decision support systems. The problem of early prediction of complications specific to the recovery after esophageal resection surgery will be considered the first application. The explored approaches are expected to be generalizable also to other clinical settings.
The challenge
This research project focuses on developing natural language robots to support clinical decisions. These language robots are computer programs with the ability to understand spoken and written human language. Exploiting textual information sources in an automated and systematic manner enables additional expert knowledge to be represented explicitly. The work aims to improve predictions regarding the probability of a patient successfully recovering from treatment. Such predictions, particularly in fields with a limited number of patients, may become more accurate, enabling improved clinical decisions, when textual observations by clinical staff can be incorporated fully. Three specific questions in this research are
You are a highly motivated, enthusiastic researcher who is driven by curiosity and has
Moreover, the candidate
We encourage high responsibility and independence, while collaborating with colleagues, researchers, other university staff and partners. We follow the terms of employment by the Dutch Collective Labour Agreement for Universities (CAO). Our offer contains: a fulltime 4-year PhD position with a qualifier in the first year; excellent mentorship in a stimulating research environment with excellent facilities; and a personal development program within the Twente Graduate School. It also includes:
Are you interested in joining our team? Please submit your application before May 31, 2024 and include:
Additional information can be acquired via email from Dr. Julia Mikhal: j.mikhal@utwente.nl.
At the department of Health Technology and Services Research (HTSR), multidisciplinary expertise is developed to support innovations in healthcare, ranging from the introduction of new technologies to the use of data-driven learning for clinical decision support. Research focuses on quantitative analyses supporting strategies that improve the efficiency of healthcare.
HTSR is part of the Faculty of Behavioural, Management and Social Sciences and the Technical Medical Center, a leading innovation hub of the University of Twente.
The Faculty of Behavioral, Management and Social sciences (BMS) aims to play a key role in understanding, jointly developing and evaluating innovations in society. Technological developments are the engine of innovation. As a technical university that puts people first, we tailor them to human needs and behavior and use social engineering to integrate them into society. We also ensure adequate governance at public and private level, and robust, inclusive and fair organizational structures. We do this by developing, sharing and applying high-quality knowledge in Psychology, Business Administration, Public Administration, Communication Sciences, Philosophy, Educational Sciences and Health Sciences. Our research and education in these disciplines revolves around tackling and solving societal challenges. The research programs of BMS are closely linked to the research of the UT institutes Mesa+ Institute for Nanotechnology, TechMed Center and Digital Society Institute.
As an employer, the Faculty of BMS offers work that matters. We equip you to create new possibilities for yourself and for our society. With us, you will become part of a leading technical university with increasing, positive social impact. We offer an open, inclusive and entrepreneurial atmosphere, in which we encourage you to make healthy choices, for example through our flexible, adaptable benefits.
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