1 code implementation • 17 Oct 2022 • Omid Rohanian, Hannah Jauncey, Mohammadmahdi Nouriborji, Bronner P. Gonçalves, Christiana Kartsonaki, ISARIC Clinical Characterisation Group, Laura Merson, David Clifton
Processing information locked within clinical health records is a challenging task that remains an active area of research in biomedical NLP.
1 code implementation • SemEval (NAACL) 2022 • Mohammadmahdi Nouriborji, Omid Rohanian, David Clifton
This paper outlines the system using which team Nowruz participated in SemEval 2022 Task 7 Identifying Plausible Clarifications of Implicit and Underspecified Phrases for both subtasks A and B.
no code implementations • 31 Mar 2022 • Anna Antoniou, Giacomo Dossena, Julia MacMillan, Steven Hamblin, David Clifton, Paula Petrone
The objective of this work is to calculate the risk of re-identification arising from a malicious attack to an anonymised dataset, as described below.
no code implementations • 9 Jan 2022 • Omid Rohanian, Samaneh Kouchaki, Andrew Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David Clifton
One of our main contributions is that we specifically target the development of effective COVID-19 detection models with built-in mechanisms in order to selectively protect sensitive attributes against adversarial attacks.
1 code implementation • 19 Mar 2021 • Dani Kiyasseh, Tingting Zhu, David Clifton
Cardiac signals, such as the electrocardiogram, convey a significant amount of information about the health status of a patient which is typically summarized by a clinician in the form of a clinical report, a cumbersome process that is prone to errors.
no code implementations • ICML 2020 • Rasheed el-Bouri, David Eyre, Peter Watkinson, Tingting Zhu, David Clifton
Accurate and reliable prediction of hospital admission location is important due to resource-constraints and space availability in a clinical setting, particularly when dealing with patients who come from the emergency department.