Extracting information from the text of electronic medical records to improve case detection: a systematic review. - Elizabeth Ford; John A. Carroll; Helen E. Smith; Donia Scott; Jackie Cassell (J. Am. Medical Informatics Assoc., 2016)

Conceptualisation and Annotation of Drug Nonadherence Information for Knowledge Extraction from Patient-Generated Texts. - Anja Belz; Richard Hoile; Elizabeth Ford; Azam Mullick (W-NUT@EMNLP, 2019)

Using Social Media to Study Mental Health Conditions - Challenges and Opportunities. - Vasa Curcin; Elizabeth Ford; Jyotishman Pathak; Goran Nenadic (AMIA, 2019)

Towards machine-learning informed early detection of dementia in UK primary care. - Elizabeth Ford; Johannes Starlinger (AMIA, 2019)

Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches. - Elizabeth Ford; Philip Rooney; Seb Oliver; Richard Hoile; Peter Hurley; Sube Banerjee; Harm van Marwijk; Jackie Cassell (BMC Medical Informatics Decis. Mak., 2019)

Toward an Ethical Framework for the Text Mining of Social Media for Health Research: A Systematic Review. - Elizabeth Ford; Scarlett Shepherd; Kerina H. Jones; Lamiece Hassan (Frontiers Digit. Health, 2020)

The Potential of Research Drawing on Clinical Free Text to Bring Benefits to Patients in the United Kingdom: A Systematic Review of the Literature. - Elizabeth Ford; Keegan Curlewis; Emma Squires; Lucy J. Griffiths; Robert Stewart 002; Kerina H. Jones (Frontiers Digit. Health, 2021)

Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners. - Elizabeth Ford; Natalie Edelman; Laura Somers; Duncan Shrewsbury; Marcela Lopez Levy; Harm van Marwijk; Vasa Curcin; Talya Porat (BMC Medical Informatics Decis. Mak., 2021)

Understanding Public Priorities and Perceptions of the Use of Linked Healthcare Data in South East England. - Elizabeth Ford; Kathryn Stanley; Melanie Rees-Roberts; Sarah Giles; Katie Goddard; Jo Armes (MIE, 2022)

Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia. - Elizabeth Ford; Richard Milne; Keegan Curlewis (WIREs Data. Mining. Knowl. Discov., 2023)

Challenges Encountered and Lessons Learned when Using a Novel Anonymised Linked Dataset of Health and Social Care Records for Public Health Intelligence: The Sussex Integrated Dataset. - Elizabeth Ford; Richard Tyler; Natalie Johnston; Vicki Spencer-Hughes; Graham Evans; Jon Elsom; Anotida Madzvamuse; Jacqueline Clay; Kate Gilchrist; Melanie Rees-Roberts (Inf., 2023)