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Peter J. F. Lucas

Peter J. F. Lucas

D-Index & Metrics

Computer Science

D-Index
34
Citations
4903
World Ranking
12191
National Ranking
232

Overview

Peter J. F. Lucas is affiliated with the University of Twente in the Netherlands. Their research spans the fields of Medicine and Computer Science, with a significant focus on subfields such as Artificial Intelligence, Statistics and Probability, Plant Science, Obstetrics and Gynecology, and Epidemiology.

Their main topics of study include:

  • Endometrial and Cervical Cancer Treatments
  • Bayesian Modeling and Causal Inference
  • Cervical Cancer and HPV Research
  • Estrogen and related hormone effects
  • Biological and pharmacological studies of plants
  • Advanced Causal Inference Techniques
  • COVID-19 Digital Contact Tracing

Recent notable papers authored or co-authored by Peter J. F. Lucas include:

  • Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study, 2020, published in PLoS Medicine
  • A privacy-preserving Bayesian network model for personalised COVID19 risk assessment and contact tracing, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Automated color detection in orchids using color labels and deep learning, 2021, PLoS ONE
  • Building integrated plant health surveillance: a proactive research agenda for anticipating and mitigating disease and pest emergence, 2024, CABI Agriculture and Bioscience
  • Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing?, 2020, arXiv (Cornell University)

Frequent co-authors collaborating with Lucas include:

  • Casper Reijnen
  • Johanna M.A. Pijnenborg
  • Marco Scutari
  • Alessio Zanga
  • Fabio Stella

Their work has been published in venues where they have multiple publications, such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Harvard Dataverse
  • CABI Agriculture and Bioscience
  • PLoS Medicine

Peter J. F. Lucas has also contributed to book publications, notably with the publisher Brepols. Titles include "Rome 1450. Capgrave's Jubilee Guide" (2021) and "Old English Poetry from Manuscript to Message" (2024).

Best Publications

  • Editorial: Bayesian networks in biomedicine and health-care

    Peter J. F. Lucas;Linda C. van der Gaag;Ameen Abu-Hanna

  • Principles of Expert Systems

    Peter Lucas;Linda van der Gaag

  • Bayesian analysis, pattern analysis, and data mining in health care.

    Peter Lucas

  • Improving medical protocols by formal methods

    Annette ten Teije;Mar Marcos;Michel Balser;Joyce van Croonenborg

  • Dynamic Bayesian networks as prognostic models for clinical patient management

    Marcel A. J. van Gerven;Babs G. Taal;Peter J. F. Lucas

  • A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU

    Peter J.F. Lucas;Nicolette C. de Bruijn;Karin Schurink;Andy Hoepelman

  • Prognostic Models in Medicine AI and Statistical Approaches

    A. Abu-Hanna;P. J. F. Lucas

  • Computer-based Medical Guidelines and Protocols: A Primer and Current Trends

    P. Lucas

  • Computer-assisted decision support for the diagnosis and treatment of infectious diseases in intensive care units.

    C.A.M. Schurink;P.J.F. Lucas;I.M. Hoepelman;M.J.M. Bonten

  • An autonomous mobile system for the management of COPD

    Maarten van der Heijden;Maarten van der Heijden;Peter J.F. Lucas;Bas Lijnse;Yvonne F. Heijdra

  • Prognostic methods in medicine

    Peter J.F. Lucas;Ameen Abu-Hanna

  • Computer-based decision support in the management of primary gastric non-Hodgkin lymphoma.

    P. J. F. Lucas;H. Boot;B. G. Taal

  • Bayesian network modelling through qualitative patterns

    Peter J. F. Lucas

  • A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients

    Theodore Charitos;Linda C. van der Gaag;Stefan Visscher;Karin A. M. Schurink

  • Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare

    Marina Velikova;Josien Terwisscha van Scheltinga;Peter J. F. Lucas;Marc Spaanderman

  • Quality checking of medical guidelines through logical abduction

    P. Lucas

  • Converting a rule-based expert system into a belief network.

    M. Korver;P. J. F. Lucas

  • Bayesian model-based diagnosis

    Peter J.F. Lucas

  • Exploiting Experts’ Knowledge for Structure Learning of Bayesian Networks

    Hossein Amirkhani;Mohammad Rahmati;Peter J. F. Lucas;Arjen Hommersom

  • Analysis of notions of diagnosis

    Peter J. F. Lucas

  • Certainty-factor-like structures in Bayesian belief networks

    P. J. F. Lucas

  • Improved mammographic CAD performance using multi-view information: a Bayesian network framework.

    Marina Velikova;Maurice Samulski;Peter J F Lucas;Nico Karssemeijer

Frequent Co-Authors

Marc J. M. Bonten
Marc J. M. Bonten Utrecht University
Marcel A. J. van Gerven
Marcel A. J. van Gerven Radboud University
Nico Karssemeijer
Nico Karssemeijer Radboud University
Tom Heskes
Tom Heskes Radboud University
Frank van Harmelen
Frank van Harmelen Vrije Universiteit Amsterdam
Martin Neil
Martin Neil Queen Mary University of London
Concha Bielza
Concha Bielza Technical University of Madrid
Cliff B. Jones
Cliff B. Jones Newcastle University
Norman Fenton
Norman Fenton Queen Mary University of London

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