Daniel Stahl

Daniel Stahl

King's College

H-index: 81

North America-United States

About Daniel Stahl

Daniel Stahl, With an exceptional h-index of 81 and a recent h-index of 60 (since 2020), a distinguished researcher at King's College, specializes in the field of Statistics, Machine/Statistical Learning, Prediction modeling, Causal modelling, Clinical Trials.

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

Developing a process for assessing the safety of a digital mental health intervention and gaining regulatory approval: an academic’s guide

USING ELECTRONIC HEALTH RECORDS TO FACILITATE PRECISION PSYCHIATRY

A transdiagnostic prodrome for severe mental disorders: an electronic health record study

The Safety of Digital Mental Health Interventions: Systematic Review and Recommendations

User-centered Development of STOP (Successful Treatment for Paranoia): Material development and usability testing for a digital therapeutic for paranoia

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

Cognitive bias modification for paranoia (CBM-pa): a randomised controlled feasibility study in patients with distressing paranoid beliefs

Schizophrenia polygenic risk score and type 2 diabetes onset in older adults with no schizophrenia diagnosis

Daniel Stahl Information

University

Position

Department of Biostatistics and Health Informatics IoPPN

Citations(all)

24162

Citations(since 2020)

13131

Cited By

16953

hIndex(all)

81

hIndex(since 2020)

60

i10Index(all)

224

i10Index(since 2020)

192

Email

University Profile Page

Google Scholar

Daniel Stahl Skills & Research Interests

Statistics

Machine/Statistical Learning

Prediction modeling

Causal modelling

Clinical Trials

Top articles of Daniel Stahl

Title

Journal

Author(s)

Publication Date

Developing a process for assessing the safety of a digital mental health intervention and gaining regulatory approval: an academic’s guide

Rayan Taher

Charlotte L Hall

Aislinn D Gomez

Neha Gupta

Clare Heaysman

...

2024/3/4

USING ELECTRONIC HEALTH RECORDS TO FACILITATE PRECISION PSYCHIATRY

Dominic Oliver

Maite Arribas

Benjamin I Perry

Daniel Whiting

Graham Blackman

...

2024/2/24

A transdiagnostic prodrome for severe mental disorders: an electronic health record study

Neuroscience Applied

M Arribas

D Oliver

R Patel

D Kornblum

H Shetty

...

2024/1/1

The Safety of Digital Mental Health Interventions: Systematic Review and Recommendations

Rayan Taher

Che-Wei Hsu

Chloe Hampshire

Carolina Fialho

Clare Heaysman

...

2023/10/9

User-centered Development of STOP (Successful Treatment for Paranoia): Material development and usability testing for a digital therapeutic for paranoia

JMIR Human Factors

Che-Wei Hsu

Daniel Stahl

Elias Mouchlianitis

Emmanuelle Peters

George Vamvakas

...

2023/12/8

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

Cognitive bias modification for paranoia (CBM-pa): a randomised controlled feasibility study in patients with distressing paranoid beliefs

Psychological medicine

Jenny Yiend

Charlene LM Lam

Nora Schmidt

Bryony Crane

Margaret Heslin

...

2023/7

Schizophrenia polygenic risk score and type 2 diabetes onset in older adults with no schizophrenia diagnosis

Psychiatric Genetics

Diana Shamsutdinova

Olesya Ajnakina

Angus Roberts

Daniel Stahl

2023/10/1

Reducing Self-harm in Adolescents: the RISA-IPD individual patient data meta-analysis and systematic review

David Cottrell

Alex Wright-Hughes

Amanda Farrin

Rebecca Walwyn

Faraz Mughal

...

2023/11/30

Development and Validation of Predictive Model for a Diagnosis of First Episode Psychosis Using the Multinational EU-GEI Case–control Study and Modern Statistical Learning Methods

Schizophrenia Bulletin Open

Olesya Ajnakina

Ihsan Fadilah

Diego Quattrone

Celso Arango

Domenico Berardi

...

2023/1/1

NESPRED-Study 1| Prediction of recurrence risk in major depressive disorder

Roland Zahn

Daniel Stahl

Diede Fennema

Catherine Spilling

Amy Tong

...

2023/4/24

Predicting Alzheimer’s Disease Diagnosis Risk Over Time with Survival Machine Learning on the ADNI Cohort

Henry Musto

Daniel Stamate

Ida Pu

Daniel Stahl

2023/9/13

Comparison of MIRACLE2 and downtime as predictors of outcome following out-of-hospital cardiac arrest and evidence for the potential of MIRACLE2 as a selection tool for …

European Heart Journal

R Aldous

R Roy

M Abdrazak

S Mohanan

D Stahl

...

2023/11

Musculoskeletal imaging

George R Matcuk Jr

Jordan S Gross

Dakshesh B Patel

Brandon KK Fields

Dorian M Lapalma

...

2023/4/7

Sample Size in Natural Language Processing within Healthcare Research

arXiv preprint arXiv:2309.02237

Jaya Chaturvedi

Diana Shamsutdinova

Felix Zimmer

Sumithra Velupillai

Daniel Stahl

...

2023/9/5

Polygenic Propensity for Longevity, APOE-ε4 Status, Dementia Diagnosis, and Risk for Cause-Specific Mortality: A Large Population-Based Longitudinal Study of …

The Journals of Gerontology: Series A

Olesya Ajnakina

Diana Shamsutdinova

Daniel Stahl

Andrew Steptoe

2023/11/1

Characterising the transdiagnostic prodrome to severe mental disorders with natural language processing: an electronic health record study: Abstracts of the 36th ECNP Congress 2023

Neuroscience Applied

Maite Arribas

Dominic Oliver

Rashmi Patel

Daisy Kornblum

Hitesh Shetty

...

2023/12/26

Predicting type 2 diabetes prevalence for people with severe mental illness in a multi-ethnic East London population

International Journal of Medical Informatics

Diana Shamsutdinova

Jayati Das-Munshi

Mark Ashworth

Angus Roberts

Daniel Stahl

2023/4/1

Influence of cannabis use on incidence of psychosis in people at clinical high risk

Psychiatry and clinical neurosciences

Lucy A Chester

Lucia R Valmaggia

Matthew J Kempton

Edward Chesney

Dominic Oliver

...

2023/9

MIRACLE2 Score Compared With Downtime and Current Selection Criterion for Invasive Cardiovascular Therapies After OHCA

Cardiovascular Interventions

Robert Aldous

Roman Roy

Antonio Cannata

Muhamad Abdrazak

Shamika Mohanan

...

2023/10/9

See List of Professors in Daniel Stahl University(King's College)