PhD position: Can Clinical Language Processing Improve Decisions?
We are looking for a motivated and curious PhD candidate interested in conducting a multidisciplinary project in which researchers and clinicians will work together on Advanced Natural Language Processing for Clinical Decision Support. The successful applicant will join the Health Technology and Services Research (HTSR) Section of the Technology, Police and Society (TPS) Department at the Faculty of Behavioural Management and Social Sciences of the University of Twente.
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
- How to quantify the accuracy of the extracted expert knowledge when predicting patient-specific outcomes?
- How to build prediction models based on robotic language processing?
- How to incorporate these prediction models into clinical decision support?
Information and application
Are you interested in joining our team? Please submit your application before May 31, 2024 and include:
- A cover letter (maximum 2 pages A4), emphasizing your specific interest, qualifications, and motivations to apply for this position;
- A Curriculum Vitae, including a list of all courses attended and grades obtained, the names of two people acting as your reference, and, if applicable, a list of publications;
- Applicants with a non-Dutch qualification, who have not had secondary and tertiary education in English can only be admitted with an IELTS-test showing a total band score of at least 6.5, internet. TOEFL test (TOEFL-iBT) showing a score of at least 90, or a Cambridge CAE-C (CPE).
Additional information can be acquired via email from Dr. Julia Mikhal: j.mikhal@utwente.nl.
About the department
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.
About the organisation
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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