Karin Verspoor

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Australia

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Collaborative Research: GOSTRUCT: modeling the structure of the Gene Ontology for accurate protein function prediction

Open Date: 2010-06-01

Close Date: 2015-05-31

Grant: Close

AUTOMATED LITERATURE MINING FOR VALIDATION OF HIGH-THROUGHPUT FUNCTION PREDICTION

Open Date: 2009-07-01

Close Date: 2010-06-01

Articles (21)

CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare

Article Link

Year:

2025

Integration of polygenic and gut metagenomic risk prediction for common diseases

Article Link

Year:

2024

Designing a Digital Health Solution: A Platform for Automated Surveillance of Fungal Infection.

Article Link

Year:

2024

Uncovering Variations in Clinical Notes for NLP Modeling.

Article Link

Year:

2024

Focused Contrastive Loss for Classification With Pre-Trained Language Models

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Year:

2024

Electronic Health Records for Predicting Outcomes to Work-Related Musculoskeletal Disorders: A Scoping Review

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Year:

2024

Zero‐ and few‐shot prompting of generative large language models provides weak assessment of risk of bias in clinical trials

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Year:

2024

Integration of background knowledge for automatic detection of inconsistencies in gene ontology annotation

Article Link

Year:

2024

‘Fighting fire with fire’ — using LLMs to combat LLM hallucinations

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Year:

2024

Advancing delirium classification: A clinical notes-based natural language processing-supported machine learning model

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Year:

2024

Stratification of keratoconus progression using unsupervised machine learning analysis of tomographical parameters

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Year:

2023

We need to chat about artificial intelligence

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Year:

2023

Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities

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Year:

2023

Graph embedding-based link prediction for literature-based discovery in Alzheimer’s Disease

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Year:

2023

Analysis of predictive performance and reliability of classifiers for quality assessment of medical evidence revealed important variation by medical area

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Year:

2023

Automating Quality Assessment of Medical Evidence in Systematic Reviews: Model Development and Validation Study

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Year:

2023

Detecting evidence of invasive fungal infections in cytology and histopathology reports enriched with concept-level annotations

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Year:

2023

Tasks as needs: reframing the paradigm of clinical natural language processing research for real-world decision support

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Year:

2022

Predicting Publication of Clinical Trials Using Structured and Unstructured Data: Model Development and Validation Study

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Year:

2022

MPVNN: Mutated Pathway Visible Neural Network architecture for interpretable prediction of cancer-specific survival risk

Article Link

Year:

2022

Performance of ICD-10-AM codes for quality improvement monitoring of hospital-acquired pneumonia in a haematology-oncology casemix in Victoria, Australia.

Article Link

Year:

2022

Collaborators (9)

Enrico Coiera

Macquarie University

AUSTRALIA

Daniel Capurro

Senior Lecturer

University of Melbourne

AUSTRALIA

Estrid He

Lecturer

RMIT University

AUSTRALIA

Melissa McCradden

University of Adelaide

AUSTRALIA

Jey Han Lau

University of Melbourne

AUSTRALIA

Matti Ruuskanen

University of Helsinki

FINLAND

Paul Baird

Professorial Fellow

University of Melbourne

AUSTRALIA

Mark Daniell

Head of Cornea Unit

AUSTRALIA

Alex London

Professor

Carnegie Mellon University

UNITED STATES

Karin Verspoor

Research Interests

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Contact this professor

Recent Grants

Articles (21)

CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare

Integration of polygenic and gut metagenomic risk prediction for common diseases

Designing a Digital Health Solution: A Platform for Automated Surveillance of Fungal Infection.

Uncovering Variations in Clinical Notes for NLP Modeling.

Focused Contrastive Loss for Classification With Pre-Trained Language Models

Electronic Health Records for Predicting Outcomes to Work-Related Musculoskeletal Disorders: A Scoping Review

Zero‐ and few‐shot prompting of generative large language models provides weak assessment of risk of bias in clinical trials

Integration of background knowledge for automatic detection of inconsistencies in gene ontology annotation

‘Fighting fire with fire’ — using LLMs to combat LLM hallucinations

Advancing delirium classification: A clinical notes-based natural language processing-supported machine learning model

Stratification of keratoconus progression using unsupervised machine learning analysis of tomographical parameters

We need to chat about artificial intelligence

Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities

Graph embedding-based link prediction for literature-based discovery in Alzheimer’s Disease

Analysis of predictive performance and reliability of classifiers for quality assessment of medical evidence revealed important variation by medical area

Automating Quality Assessment of Medical Evidence in Systematic Reviews: Model Development and Validation Study

Detecting evidence of invasive fungal infections in cytology and histopathology reports enriched with concept-level annotations

Tasks as needs: reframing the paradigm of clinical natural language processing research for real-world decision support

Predicting Publication of Clinical Trials Using Structured and Unstructured Data: Model Development and Validation Study

MPVNN: Mutated Pathway Visible Neural Network architecture for interpretable prediction of cancer-specific survival risk

Performance of ICD-10-AM codes for quality improvement monitoring of hospital-acquired pneumonia in a haematology-oncology casemix in Victoria, Australia.

Collaborators (9)

Enrico Coiera

Daniel Capurro

Estrid He

Melissa McCradden

Jey Han Lau

Matti Ruuskanen

Paul Baird

Mark Daniell

Alex London

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