Professor Richard Dobson

Professor Richard Dobson

King's College London

H-index: 65

Europe-United Kingdom

About Professor Richard Dobson

Professor Richard Dobson, With an exceptional h-index of 65 and a recent h-index of 52 (since 2020), a distinguished researcher at King's College London, specializes in the field of Bioinformatics, Biomarkers, Genomics, Big Data, EHR text mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Longitudinal Modeling of Depression Shifts Using Speech and Language

Automated Generation of Hospital Discharge Summaries Using Clinical Guidelines and Large Language Models

Artificial intelligence methods for improved detection of undiagnosed heart failure with preserved ejection fraction

Home monitoring to detect progression of interstitial lung disease: A prospective cohort study

Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation

Implementation of an Electronic Clinical Decision Support System for the Early Recognition and Management of Dysglycemia in an Inpatient Mental Health Setting Using CogStack …

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model

A wearable device perspective on the standard definitions of disability progression in multiple sclerosis

Professor Richard Dobson Information

University

Position

Group lead and Professor in Bioinformatics

Citations(all)

29406

Citations(since 2020)

13264

Cited By

20496

hIndex(all)

65

hIndex(since 2020)

52

i10Index(all)

198

i10Index(since 2020)

182

Email

University Profile Page

King's College London

Google Scholar

View Google Scholar Profile

Professor Richard Dobson Skills & Research Interests

Bioinformatics

Biomarkers

Genomics

Big Data

EHR text mining

Top articles of Professor Richard Dobson

Title

Journal

Author(s)

Publication Date

Longitudinal Modeling of Depression Shifts Using Speech and Language

Paula Andrea Pérez-Toro

Judith Dineley

Agnieszka Kaczkowska

Pauline Conde

Yuezhou Zhang

...

2024/4/14

Automated Generation of Hospital Discharge Summaries Using Clinical Guidelines and Large Language Models

Simon Ellershaw

Christopher Tomlinson

Oliver E Burton

Thomas Frost

John Gerrard Hanrahan

...

2024/3/1

Artificial intelligence methods for improved detection of undiagnosed heart failure with preserved ejection fraction

European Journal of Heart Failure

Jack Wu

Dhruva Biswas

Matthew Ryan

Brett S Bernstein

Maleeha Rizvi

...

2024/2

Home monitoring to detect progression of interstitial lung disease: A prospective cohort study

Respirology

Malik A Althobiani

Yatharth Ranjan

Anne-Marie Russell

Joseph Jacob

Michele Orini

...

2024/4/8

Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation

arXiv preprint arXiv:2401.02258

Linglong Qian

Zina Ibrahim

Richard Dobson

2024/1/4

Implementation of an Electronic Clinical Decision Support System for the Early Recognition and Management of Dysglycemia in an Inpatient Mental Health Setting Using CogStack …

JMIR Research Protocols

Dipen Patel

Yamiko Joseph Msosa

Tao Wang

Julie Williams

Omar G Mustafa

...

2024/4/5

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model

Journal of affective disorders

Yuezhou Zhang

Amos A Folarin

Judith Dineley

Pauline Conde

Valeria de Angel

...

2024/3/27

A wearable device perspective on the standard definitions of disability progression in multiple sclerosis

Multiple Sclerosis Journal

Gloria Dalla Costa

Carlos Nos

Ana Zabalza

Mathias Buron

Melinda Magyari

...

2024/1

Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study

The Lancet Digital Health

Zeljko Kraljevic

Dan Bean

Anthony Shek

Rebecca Bendayan

Harry Hemingway

...

2024/4/1

Predicting Future Disorders via Temporal Knowledge Graphs and Medical Ontologies

IEEE Journal of Biomedical and Health Informatics

Marco Postiglione

Daniel Bean

Zeljko Kraljevic

Richard JB Dobson

Vincenzo Moscato

2024/4/18

Deciphering seasonal depression variations and interplays between weather changes, physical activity, and depression severity in real-world settings: Learnings from RADAR-MDD …

arXiv preprint arXiv:2404.11212

Yuezhou Zhang

Amos A Folarin

Yatharth Ranjan

Nicholas Cummins

Zulqarnain Rashid

...

2024/4/17

The oligogenic structure of amyotrophic lateral sclerosis has genetic testing, counselling, and therapeutic implications

AA Dilliott

A Al Khleifat

PM Andersen

NA Basak

J Cooper-Knock

...

2024/3/26

Unsupervised machine-learning identifies clinically distinct subtypes of ALS that reflect different genetic architectures and biological mechanisms

medRxiv

Thomas P Spargo

Heather Marriott

Guy Hunt

Oliver Pain

Renata Kabiljo

...

2023

Polygenic risk score prediction of multiple sclerosis in individuals of South Asian ancestry

Brain Communications

Joshua R Breedon

Charles R Marshall

Gavin Giovannoni

David A van Heel

Ruth Dobson

...

2023

Monitorización de la depresión mediante el análisis de la circadianidad del ritmo cardíaco proporcionado por un dispositivo wearable

S Pérez

S Kontaxis

E García

S Siddi

N Cummins

...

2023

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

...

2023/6/26

An assessment of bioinformatics tools for the detection of human endogenous retroviral insertions in short-read genome sequencing data

Frontiers in bioinformatics

Harry Bowles

Renata Kabiljo

Ahmad Al Khleifat

Ashley Jones

John P Quinn

...

2023/2/8

Understanding Views Around the Creation of a Consented, Donated Databank of Clinical Free Text to Develop and Train Natural Language Processing Models for Research: Focus Group …

JMIR medical informatics

Natalie K Fitzpatrick

Richard Dobson

Angus Roberts

Kerina Jones

Anoop D Shah

...

2023/5/3

TREM2 impacts brain microglia, oligodendrocytes and endothelial coexpression modules revealing genes and pathways important in Alzheimer's disease

bioRxiv

Guillermo Carbajosa

Karim Malki

Nathan Lawless

Hong Wang

John W Ryder

...

2021/7/17

Moving from development to implementation of digital innovations within the NHS: myHealthE, a remote monitoring system for tracking patient outcomes in child and adolescent …

Digital Health

Anna C Morris

Zina Ibrahim

Omer S Moghraby

Argyris Stringaris

Ian M Grant

...

2023/11

See List of Professors in Professor Richard Dobson University(King's College London)

Co-Authors

H-index: 248
Tim D Spector

Tim D Spector

King's College

H-index: 191
Dan Geschwind

Dan Geschwind

University of California, Los Angeles

H-index: 142
Peter McGuffin

Peter McGuffin

King's College

H-index: 123
Simon Lovestone

Simon Lovestone

University of Oxford

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