Predicting deleterious nsSNPs: an analysis of sequence and structural attributes. - Richard J. B. Dobson; Patricia B. Munroe; Mark J. Caulfield; Mansoor A. S. Saqi (BMC Bioinform., 2006)

Combining Protein-Protein Interaction (PPI) Network and Sequence Attributes for Predicting Hypertension Related Proteins. - Richard J. B. Dobson; Patricia B. Munroe; Charles A. Mein; Mark J. Caulfield; Mansoor A. S. Saqi (BIRD, 2008)

Global sequence properties for superfamily prediction: a machine learning approach. - Richard J. B. Dobson; Patricia B. Munroe; Mark J. Caulfield; Mansoor A. S. Saqi (J. Integr. Bioinform., 2009)

An approach to pathway reconstruction using whole genome metabolic models and sensitive sequence searching. - Mansoor A. S. Saqi; Richard J. B. Dobson; Preben Kraben; David A. Hodgson; David L. Wild (J. Integr. Bioinform., 2009)

Detecting epistasis in the presence of linkage disequilibrium: A focused comparison. - Zina M. Ibrahim; Stephen Newhouse; Richard J. B. Dobson (CIBCB, 2013)

Sa based power efficient FPGA LUT mapping. - Richard J. B. Dobson; Kathleen Steinhöfel (GECCO (Companion), 2013)

BBGRE: brain and body genetic resource exchange. - Joo Wook Ahn; Abhishek Dixit; Caroline E. Johnston; Caroline M. Ogilvie; David A. Collier; Sarah Curran; Richard J. B. Dobson (Database J. Biol. Databases Curation, 2013)

TextHunter - A User Friendly Tool for Extracting Generic Concepts from Free Text in Clinical Research. - Richard G. Jackson; Michael Ball 004; Rashmi Patel; Richard D. Hayes; Richard J. B. Dobson; Robert Stewart 002 (AMIA, 2014)

Towards Using Rule-Based Multi-agent System for the Early Detection of Adverse Drug Reactions. - Zina M. Ibrahim; Robbie Mallah; Richard J. B. Dobson (FLAIRS, 2014)

Protein interaction networks associated with cardiovascular disease and cancer: exploring the effect of bias on shared network properties. - Richard J. B. Dobson; Patricia B. Munroe; Mark J. Caulfield; Mansoor A. S. Saqi (Int. J. Data Min. Bioinform., 2014)

A Multi-Agent Platform for Automating the Collection of Patient-Provided Clinical Feedback. - Zina M. Ibrahim; Lorena Fernández de la Cruz; Argyris K. Stringaris; Robert Goodman; Michael Luck; Richard J. B. Dobson (AAMAS, 2015)

On Energy-Efficient Computations With Advice. - Hans-Joachim Böckenhauer; Richard J. B. Dobson; Sacha Krug; Kathleen Steinhöfel (COCOON, 2015)

SleepSight: a wearables-based relapse prevention system for schizophrenia. - Maximilian Kerz; Amos Folarin; Nicholas Meyer; Mark Begale; James MacCabe; Richard J. B. Dobson (UbiComp Adjunct, 2016)

The language of mental health problems in social media. - George Gkotsis; Anika Oellrich; Tim J. P. Hubbard; Richard J. B. Dobson; Maria Liakata; Sumithra Velupillai; Rina Dutta (CLPsych@HLT-NAACL, 2016)

Challenges and opportunities for system biology standards and tools in medical research. - Matthias König 003; Anika Oellrich; Dagmar Waltemath; Richard J. B. Dobson; Tim J. P. Hubbard; Olaf Wolkenhauer (ODLS, 2016)

Category-Driven Association Rule Mining. - Zina M. Ibrahim; Honghan Wu; Robbie Mallah; Richard J. B. Dobson (SGAI Conf., 2016)

Encoding Medication Episodes for Adverse Drug Event Prediction. - Honghan Wu; Zina M. Ibrahim; Ehtesham Iqbal 001; Richard J. B. Dobson (SGAI Conf., 2016)

Improving RNN with Attention and Embedding for Adverse Drug Reactions. - Chandra Pandey; Zina M. Ibrahim; Honghan Wu; Ehtesham Iqbal 001; Richard J. B. Dobson (DH, 2017)

Learning Patient Similarity Using Joint Distributed Embeddings of Treatment and Diagnoses. - Christopher Ormandy; Zina M. Ibrahim; Richard J. B. Dobson (KDH@IJCAI, 2017)

The psycho-env corpus: research articles annotated for knowledge discovery on correlating mental diseases and environmental factors. - Hui Wang; Quan Sun; Anika Oellrich; Honghan Wu; Richard J. B. Dobson (KDH@IJCAI, 2017)

Automated PDF highlighting to support faster curation of literature for Parkinson's and Alzheimer's disease. - Honghan Wu; Anika Oellrich; Christine Girges; Bernard de Bono; Tim J. P. Hubbard; Richard J. B. Dobson (Database J. Biol. Databases Curation, 2017)

RADAR-base: A Novel Open Source m-Health Platform. - Yatharth Ranjan; Maximilian Kerz; Zulqarnain Rashid; Sebastian Böttcher; Richard J. B. Dobson; Amos A. Folarin (UbiComp/ISWC Adjunct, 2018)

RADAR-base: Epilepsy Case Study. - Zulqarnain Rashid; Callum L. Stewart; Sebastian Böttcher; Yatharth Ranjan; Richard J. B. Dobson; Amos A. Folarin (UbiComp/ISWC Adjunct, 2018)

RADAR-base: Major Depressive Disorder and Epilepsy Case Studies. - Callum L. Stewart; Zulqarnain Rashid; Yatharth Ranjan; Shaoxiong Sun; Richard J. B. Dobson; Amos A. Folarin (UbiComp/ISWC Adjunct, 2018)

Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data. - Spiros C. Denaxas; Pontus Stenetorp; Sebastian Riedel 001; Maria Pikoula; Richard J. B. Dobson; Harry Hemingway (CoRR, 2018)

SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research. - Honghan Wu; Giulia Toti; Katherine I. Morley; Zina M. Ibrahim; Amos Folarin; Richard G. Jackson; Ismail Emre Kartoglu; Asha Agrawal; Clive Stringer; Darren Gale; Genevieve Gorrell; Angus Roberts; et al. (J. Am. Medical Informatics Assoc., 2018)

CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital. - Richard G. Jackson; Ismail Emre Kartoglu; Clive Stringer; Genevieve Gorrell; Angus Roberts; Xingyi Song; Honghan Wu; Asha Agrawal; Kenneth Lui; Tudor Groza; Damian Lewsley; Doug Northwood; et al. (BMC Medical Informatics Decis. Mak., 2018)

MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation. - Thomas Searle; Zeljko Kraljevic; Rebecca Bendayan; Daniel Bean; Richard J. B. Dobson (EMNLP/IJCNLP (3), 2019)

Challenges & solutions in a hybrid mHealth mobile app. - Yatharth Ranjan; Amos A. Folarin; Callum L. Stewart; Pauline Conde; Richard J. B. Dobson; Zulqarnain Rashid (UbiComp/ISWC Adjunct, 2019)

Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. - Nirmalie Wiratunga; David Corsar; Kyle Martin; Anjana Wijekoon; Eyad Elyan; Zina M. Ibrahim; Oya Celikutan; Richard J. B. Dobson; Stephen J. McKenna; Jacqui Morris; Annalu Waller; Raed A. Abd-Alhammed; et al. (KDH@IJCAI, 2019)

Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death. - Anoop D. Shah; Emily Bailey; Tim Williams; Spiros C. Denaxas; Richard J. B. Dobson; Harry Hemingway (J. Biomed. Semant., 2019)

Combining string and phonetic similarity matching to identify misspelt names of drugs in medical records written in Portuguese. - Hegler Tissot; Richard J. B. Dobson (J. Biomed. Semant., 2019)

DNAscan: personal computer compatible NGS analysis, annotation and visualisation. - Alfredo Iacoangeli; Ahmad Al Khleifat; William Sproviero; Aleksey Shatunov; A. R. Jones; S. L. Morgan; Alan Pittman; Richard J. B. Dobson; S. J. Newhouse; Ammar Al-Chalabi (BMC Bioinform., 2019)

Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification. - Honghan Wu; Karen Hodgson; Sue Dyson; Katherine I. Morley; Zina M. Ibrahim; Ehtesham Iqbal 001; Robert Stewart 002; Richard J. B. Dobson; Cathie Sudlow (CoRR, 2019)

MedCAT - Medical Concept Annotation Tool. - Zeljko Kraljevic; Daniel Bean; Aurelie Mascio; Lukasz Roguski; Amos Folarin; Angus Roberts; Rebecca Bendayan; Richard J. B. Dobson (CoRR, 2019)

UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. - Spiros C. Denaxas; Arturo Gonzalez-Izquierdo; Kenan Direk; Natalie K. Fitzpatrick; Ghazaleh Fatemifar; Amitava Banerjee; Richard J. B. Dobson; Laurence J. Howe; Valerie Kuan; R. Tom Lumbers; Laura Pasea; Riyaz S. Patel; et al. (J. Am. Medical Informatics Assoc., 2019)

Comparative Analysis of Text Classification Approaches in Electronic Health Records. - Aurelie Mascio; Zeljko Kraljevic; Daniel Bean; Richard J. B. Dobson; Robert Stewart 002; Rebecca Bendayan; Angus Roberts (BioNLP, 2020)

Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset. - Thomas Searle; Zina M. Ibrahim; Richard J. B. Dobson (BioNLP, 2020)

Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. - Zina M. Ibrahim; Honghan Wu; Richard J. B. Dobson (ECAI, 2020)

Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech. - Thomas Searle; Zina M. Ibrahim; Richard J. B. Dobson (INTERSPEECH, 2020)

The side effect profile of Clozapine in real world data of three large mental hospitals. - Ehtesham Iqbal 001; Risha Govind; Alvin Romero; Olubanke Dzahini; Matthew T. W. Broadbent; Robert Stewart 002; Tanya Smith; Chi-Hun Kim; Nomi Werbeloff; Richard J. B. Dobson; Zina M. Ibrahim (CoRR, 2020)

Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR. - Rebecca Bendayan; Honghan Wu; Zeljko Kraljevic; Robert Stewart 002; Tom Searle; Jaya Chaturvedi; Jayati Das-Munshi; Zina M. Ibrahim; Aurelie Mascio; Angus Roberts; Daniel Bean; Richard J. B. Dobson (CoRR, 2020)

Using smartphones and wearable devices to monitor behavioural changes during COVID-19. - Shaoxiong Sun; Amos Folarin; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Nicholas Cummins; Faith Matcham; Gloria Dalla Costa; Letizia Leocani; Per Soelberg Sørensen; Mathias Buron; Ana Isabel Guerrero; et al. (CoRR, 2020)

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data. - Zina M. Ibrahim; Daniel Bean; Thomas Searle; Honghan Wu; Anthony Shek; Zeljko Kraljevic; James Galloway; Sam Norton; James T. Teo; Richard J. B. Dobson (CoRR, 2020)

On classifying sepsis heterogeneity in the ICU: insight using machine learning. - Zina M. Ibrahim; Honghan Wu; Ahmed Hamoud; Lukas Stappen; Richard J. B. Dobson; Andrea Agarossi (J. Am. Medical Informatics Assoc., 2020)

Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial. - Hegler Correa Tissot; Anoop D. Shah; David Brealey; Steve K. Harris; Ruth Agbakoba; Amos Folarin; Luis Romao; Lukasz Roguski; Richard J. B. Dobson; Folkert W. Asselbergs (IEEE J. Biomed. Health Informatics, 2020)

Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder. - Judith Dineley; Grace Lavelle; Daniel Leightley; Faith Matcham; Sara Siddi; Maria Teresa Peñarrubia-María; Katie M. White; Alina Ivan; Carolin Oetzmann; Sara Simblett; Erin Dawe-Lane; Stuart Bruce; et al. (Interspeech, 2021)

Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit. - Zeljko Kraljevic; Thomas Searle; Anthony Shek; Lukasz Roguski; Kawsar Noor; Daniel Bean; Aurelie Mascio; Leilei Zhu; Amos A. Folarin; Angus Roberts; Rebecca Bendayan; Mark P. Richardson; et al. (Artif. Intell. Medicine, 2021)

Fitbeat: COVID-19 Estimation based on Wristband Heart Rate. - Shuo Liu 012; Jing Han 010; Estela Laporta Puyal; Spyridon Kontaxis; Shaoxiong Sun; Patrick Locatelli; Judith Dineley; Florian B. Pokorny; Gloria Dalla Costa; Letizia Leocani; Ana Isabel Guerrero; Carlos Nos; et al. (CoRR, 2021)

Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study. - Yuezhou Zhang; Amos A. Folarin; Shaoxiong Sun; Nicholas Cummins; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum L. Stewart; Petroula Laiou; Faith Matcham; Carolin Oetzmann; Femke Lamers; et al. (CoRR, 2021)

MedGPT: Medical Concept Prediction from Clinical Narratives. - Zeljko Kraljevic; Anthony Shek; Daniel Bean; Rebecca Bendayan; James T. Teo; Richard J. B. Dobson (CoRR, 2021)

Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals. - Kawsar Noor; Lukasz Roguski; Alex Handy; Roman Klapaukh; Amos Folarin; Luis Romao; Joshua Matteson; Nathan Lea; Leilei Zhu; Wai Keong Wong; Anoop D. Shah; Richard J. B. Dobson (CoRR, 2021)

Cognitive Impairments in Schizophrenia: A Study in a Large Clinical Sample Using Natural Language Processing. - Aurelie Mascio; Robert Stewart 002; Riley Botelle; Marcus Williams; Luwaiza Mirza; Rashmi Patel; Thomas Pollak; Richard J. B. Dobson; Angus Roberts (Frontiers Digit. Health, 2021)

Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2. - Honghan Wu; Huayu Zhang; Andreas Karwath; Zina M. Ibrahim; Ting Shi; Xin Zhang; Kun Wang; Jiaxing Sun; Kevin Dhaliwal; Daniel Bean; Victor Roth Cardoso; Kezhi Li; et al. (J. Am. Medical Informatics Assoc., 2021)

Estimating redundancy in clinical text. - Thomas Searle; Zina M. Ibrahim; James T. Teo; Richard J. B. Dobson (J. Biomed. Informatics, 2021)

An informatics consult approach for generating clinical evidence for treatment decisions. - Alvina Grace Lai; Wai Hoong Chang; Constantinos A. Parisinos; Michail Katsoulis; Ruth M. Blackburn; Anoop D. Shah; Vincent Nguyen; Spiros C. Denaxas; George Davey Smith; Tom R. Gaunt; Krishnarajah Nirantharakumar; Murray P. Cox; et al. (BMC Medical Informatics Decis. Mak., 2021)

DGLinker: flexible knowledge-graph prediction of disease-gene associations. - Jiajing Hu; Rosalba Lepore; Richard J. B. Dobson; Ammar Al-Chalabi; Daniel Bean; Alfredo Iacoangeli (Nucleic Acids Res., 2021)

Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data. - Berber T. Snoeijer; Mariska Burger; Shaoxiong Sun; Richard J. B. Dobson; Amos A. Folarin (npj Digit. Medicine, 2021)

Real-time clinician text feeds from electronic health records. - James T. Teo; Vlad Dinu; William Bernal; Phil Davidson; Vitaliy Oliynyk; Cormac Breen; Richard D. Barker; Richard J. B. Dobson (npj Digit. Medicine, 2021)

RADAR-IoT: An open-source, interoperable and extensible IoT gateway framework for healthcare and beyond. - Yatharth Ranjan; Heet Sankesara; Pauline Conde; Jiangeng Chang; Zulqarnain Rashid; Richard J. B. Dobson; Amos A. Folarin (UbiComp/ISWC Adjunct, 2022)

Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation. - Yu Deng; Yang Wen; Linglong Qian; Esther Puyol-Antón; Hao Xu; Kuberan Pushparajah; Zina M. Ibrahim; Richard J. B. Dobson; Alistair A. Young (STACOM@MICCAI, 2022)

CogStack Cohort at TREC 2022 Clinical Trials Track. - Jack Wu; Zeljko Kraljevic; Thomas Searle; Daniel Bean; Richard J. B. Dobson (TREC, 2022)

The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions. - Shaoxiong Sun; Amos A. Folarin; Yuezhou Zhang; Nicholas Cummins; Shuo Liu 012; Callum L. Stewart; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Petroula Laiou; Heet Sankesara; Gloria Dalla Costa; et al. (Comput. Methods Programs Biomed., 2022)

Predicting Clinical Intent from Free Text Electronic Health Records. - Kawsar Noor; Katherine Smith; Julia Bennett; Jade O'Connell; Jessica Fisk; Monika Hunt; Gary Philippo; Teresa Xu; Simon Knight 004; Luis Romao; Richard J. B. Dobson; Wai Keong Wong (CoRR, 2022)

Summarisation of Electronic Health Records with Clinical Concept Guidance. - Thomas Searle; Zina M. Ibrahim; James T. Teo; Richard J. B. Dobson (CoRR, 2022)

Foresight - Deep Generative Modelling of Patient Timelines using Electronic Health Records. - Zeljko Kraljevic; Daniel Bean; Anthony Shek; Rebecca Bendayan; Joshua Au Yeung; Alexander Deng; Alfie Baston; Jack Ross; Esther Idowu; James T. Teo; Richard J. B. Dobson (CoRR, 2022)

An assessment of bioinformatics tools for the detection of human endogenous retroviral insertions in short-read genome sequencing data. - Harry Bowles; Renata Kabiljo; Ahmad Al Khleifat; Ashley Jones; John P. Quinn; Richard J. B. Dobson; Chad M. Swanson; Ammar Al-Chalabi; Alfredo Iacoangeli (Frontiers Bioinform., 2022)

Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond. - Václav Papez; Maxim Moinat; Erica A. Voss; Sofia Bazakou; Anne Van Winzum; Alessia Peviani; Stefan Payralbe; Elena Garcia Lara; Michael Kallfelz; Folkert W. Asselbergs; Daniel Prieto-Alhambra; Richard J. B. Dobson; et al. (J. Am. Medical Informatics Assoc., 2022)

Patient-centric characterization of multimorbidity trajectories in patients with severe mental illnesses: A temporal bipartite network modeling approach. - Tao Wang 036; Rebecca Bendayan; Yamiko Msosa; Megan Pritchard; Angus Roberts; Robert Stewart 002; Richard J. B. Dobson (J. Biomed. Informatics, 2022)

An implementation framework and a feasibility evaluation of a clinical decision support system for diabetes management in secondary mental healthcare using CogStack. - Dipen Patel; Yamiko Msosa; Tao Wang 036; Omar G. Mustafa; Siobhan Gee; Julie Williams; Angus Roberts; Richard J. B. Dobson; Fiona Gaughran (BMC Medical Informatics Decis. Mak., 2022)

GEOexplorer: a webserver for gene expression analysis and visualisation. - Guy P. Hunt; Luigi Grassi; Rafael Henkin; Fabrizio Smeraldi; Thomas P. Spargo; Renata Kabiljo; Sulev Koks; Zina M. Ibrahim; Richard J. B. Dobson; Ammar Al-Chalabi; Michael R. Barnes; Alfredo Iacoangeli (Nucleic Acids Res., 2022)

Digital health tools for the passive monitoring of depression: a systematic review of methods. - Valeria de Angel; Serena Lewis; Katie M. White; Carolin Oetzmann; Daniel Leightley; Emanuela Oprea; Grace Lavelle; Faith Matcham; Alice Pace; David C. Mohr; Richard J. B. Dobson; Matthew Hotopf (npj Digit. Medicine, 2022)

A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. - Honghan Wu; Minhong Wang 002; Jinge Wu; Farah Francis; Yun-Hsuan Chang; Alex Shavick; Hang Dong 002; Michael Tin Chung Poon; Natalie K. Fitzpatrick; Adam P. Levine; Luke T. Slater; Alex Handy; et al. (npj Digit. Medicine, 2022)

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder. - Shuo Liu 012; Jing Han 010; Estela Laporta Puyal; Spyridon Kontaxis; Shaoxiong Sun; Patrick Locatelli; Judith Dineley; Florian B. Pokorny; Gloria Dalla Costa; Letizia Leocani; Ana Isabel Guerrero; Carlos Nos; et al. (Pattern Recognit., 2022)

A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data. - Zina M. Ibrahim; Daniel Bean; Thomas Searle; Linglong Qian; Honghan Wu; Anthony Shek; Zeljko Kraljevic; James Galloway; Sam Norton; James T. Teo; Richard J. B. Dobson (IEEE J. Biomed. Health Informatics, 2022)

Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare. - Zeljko Kraljevic; Anthony Shek; Joshua Au Yeung; Ewart Jonathan Sheldon; Haris Shuaib; Mohammad Al-Agil; Xi Bai; Kawsar Noor; Anoop D. Shah; Richard J. B. Dobson; James T. Teo (ICHI, 2023)

Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models. - Edward L. Campbell; Judith Dineley; Pauline Conde; Faith Matcham; Katie M. White; Carolin Oetzmann; Sara Simblett; Stuart Bruce; Amos A. Folarin; Til Wykes; Srinivasan Vairavan; Richard J. B. Dobson; et al. (INTERSPEECH, 2023)

Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech. - Judith Dineley; Ewan Carr; Faith Matcham; Johnny Downs; Richard J. B. Dobson; Thomas F. Quatieri; Nicholas Cummins (INTERSPEECH, 2023)

Addressing Class Imbalance in Electronic Health Records Data Imputation. - Linglong Qian; Zina M. Ibrahim; Ao Zhang; Richard J. B. Dobson (KDH@IJCAI, 2023)

Disease Insight through Digital Biomarkers Developed by Remotely Collected Wearables and Smartphone Data. - Zulqarnain Rashid; Amos A. Folarin; Yatharth Ranjan; Pauline Conde; Heet Sankesara; Yuezhou Zhang; Shaoxiong Sun; Callum L. Stewart; Petroula Laiou; Richard J. B. Dobson (CoRR, 2023)

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. - Yuezhou Zhang; Amos A. Folarin; Judith Dineley; Pauline Conde; Valeria de Angel; Shaoxiong Sun; Yatharth Ranjan; Zulqarnain Rashid; Callum L. Stewart; Petroula Laiou; Heet Sankesara; Linglong Qian; et al. (CoRR, 2023)

Knowledge Enhanced Conditional Imputation for Healthcare Time-series. - Linglong Qian; Zina M. Ibrahim; Hugh Logan Ellis; Ao Zhang; Yuezhou Zhang; Tao Wang 036; Richard J. B. Dobson (CoRR, 2023)

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. - Yuezhou Zhang; Abhishek Pratap; Amos A. Folarin; Shaoxiong Sun; Nicholas Cummins; Faith Matcham; Srinivasan Vairavan; Judith Dineley; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum L. Stewart; et al. (npj Digit. Medicine, 2023)

AI chatbots not yet ready for clinical use. - Joshua Au Yeung; Zeljko Kraljevic; Akish Luintel; Alfred Balston; Esther Idowu; Richard J. B. Dobson; James T. Teo (Frontiers Digit. Health, 2023)

DNAscan2: a versatile, scalable, and user-friendly analysis pipeline for human next-generation sequencing data. - Heather Marriott; Renata Kabiljo; Ahmad Al Khleifat; Richard J. B. Dobson; Ammar Al-Chalabi; Alfredo Iacoangeli (Bioinform., 2023)

Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models. - Thomas Searle; Zina M. Ibrahim; James T. Teo; Richard J. B. Dobson (J. Biomed. Informatics, 2023)

Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis. - Spyridon Kontaxis; Estela Laporta; Esther García; Matteo Martinis; Letizia Leocani; Lucia Roselli; Mathias Due Buron; Ana Isabel Guerrero; Ana Zabalza; Nicholas Cummins; Srinivasan Vairavan; Matthew Hotopf; et al. (Sensors, 2023)

Trustworthy Data and AI Environments for Clinical Prediction: Application to Crisis-Risk in People With Depression. - Yamiko Joseph Msosa; Arturas Grauslys; Yifan Zhou; Tao Wang 036; Iain E. Buchan; Paul Langan; Steven Foster; Michael Walker; Michael Pearson; Amos Folarin; Angus Roberts; Simon Maskell; et al. (IEEE J. Biomed. Health Informatics, 2023)

Longitudinal Modeling of Depression Shifts Using Speech and Language. - Paula Andrea Pérez-Toro; Judith Dineley; Agnieszka Kaczkowska; Pauline Conde; Yuezhou Zhang; Faith Matcham; Sara Siddi; Josep Maria Haro; Stuart Bruce; Til Wykes; Raquel Bailón; Srinivasan Vairavan; et al. (ICASSP, 2024)

Detecting Clinical Intent in Electronic Healthcare Records in a UK National Healthcare Hospital. - Kawsar Noor; Katherine Smith; Jade O'Connell; Niamh Ingram; Baptiste Briot Ribeyre; Tom Searle; Wai Keong Wong; Richard J. B. Dobson (ICHI, 2024)

Variability of speech timing features across repeated recordings: a comparison of open-source extraction techniques. - Judith Dineley; Ewan Carr; Lauren L. White; Catriona Lucas; Zahia Rahman; Tian Pan 004; Faith Matcham; Johnny Downs; Richard J. B. Dobson; Thomas F. Quatieri; Nicholas Cummins (INTERSPEECH, 2024)

Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation. - Linglong Qian; Zina M. Ibrahim; Richard J. B. Dobson (CoRR, 2024)

Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation. - Linglong Qian; Zina M. Ibrahim; Wenjie Du; Yiyuan Yang; Richard J. B. Dobson (CoRR, 2024)

A pilot protocol and cohort for the investigation of non-pathological variability in speech. - Nicholas Cummins; Lauren L. White; Zahia Rahman; Catriona Lucas; Tian Pan 004; Ewan Carr; Faith Matcham; Johnny Downs; Richard J. B. Dobson; Judith Dineley (CoRR, 2024)

How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation. - Linglong Qian; Tao Wang 036; Jun Wang; Hugh Logan Ellis; Robin Mitra; Richard J. B. Dobson; Zina M. Ibrahim (CoRR, 2024)

Improving Extraction of Clinical Event Contextual Properties from Electronic Health Records: A Comparative Study. - Shubham Agarwal; Thomas Searle; Mart Ratas; Anthony Shek; James T. Teo; Richard J. B. Dobson (CoRR, 2024)

Large-scale digital phenotyping: identifying depression and anxiety indicators in a general UK population with over 10,000 participants. - Yuezhou Zhang; Callum L. Stewart; Yatharth Ranjan; Pauline Conde; Heet Sankesara; Zulqarnain Rashid; Shaoxiong Sun; Richard J. B. Dobson; Amos A. Folarin (CoRR, 2024)

VIEWER: an extensible visual analytics framework for enhancing mental healthcare. - Tao Wang 036; David Codling; Yamiko Joseph Msosa; Matthew Broadbent; Daisy Kornblum; Catherine Polling; Thomas Searle; Claire Delaney-Pope; Barbara Arroyo; Stuart MacLellan; Zoe Keddie; Mary Docherty; et al. (CoRR, 2024)

Large Language Models for Medical Forecasting - Foresight 2. - Zeljko Kraljevic; Joshua Au Yeung; Daniel Bean; James T. Teo; Richard J. B. Dobson (CoRR, 2024)

RADAR-IoT: An Open-Source, Interoperable, and Extensible IoT Gateway Framework for Health Research. - Yatharth Ranjan; Jiangeng Chang; Heet Sankesara; Pauline Conde; Zulqarnain Rashid; Richard J. B. Dobson; Amos Folarin (Sensors, 2024)

Predicting Future Disorders via Temporal Knowledge Graphs and Medical Ontologies. - Marco Postiglione; Daniel Bean; Zeljko Kraljevic; Richard J. B. Dobson; Vincenzo Moscato (IEEE J. Biomed. Health Informatics, 2024)

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records. - Shubham Agarwal; Vlad Dinu; Thomas Searle; Mart Ratas; Anthony Shek; Dan F. Stein; James T. Teo; Richard J. B. Dobson (CoRR, 2025)

Developing and Evaluating an AI-Assisted Prediction Model for Unplanned Intensive Care Admissions following Elective Neurosurgery using Natural Language Processing within an Electronic Healthcare Record System. - Julia Ive; Olatomiwa Olukoya; Jonathan P. Funnell; James Booker; Sze H. M. Lam; Ugan Reddy; Kawsar Noor; Richard J. B. Dobson; Valpuri Luoma; Hani J. Marcus (CoRR, 2025)

An Explainable Anomaly Detection Framework for Monitoring Depression and Anxiety Using Consumer Wearable Devices. - Yuezhou Zhang; Amos A. Folarin; Callum L. Stewart; Heet Sankesara; Yatharth Ranjan; Pauline Conde; Akash Roy Choudhury; Shaoxiong Sun; Zulqarnain Rashid; Richard J. B. Dobson (CoRR, 2025)

Developing clinical informatics to support direct care and population health management: the VIEWER story. - Robert Harland; Tao Wang 036; David Codling; Catherine Polling; Matthew Broadbent; Holly Newton; Yamiko Joseph Msosa; Daisy Kornblum; Claire Delaney-Pope; Barbara Arroyo; Stuart MacLellan; Zoe Keddie; et al. (CoRR, 2025)