Patrick Thoral

9.6k citations

37 papers · 966 indexed · 1 hit paper · h-index 15

Impact in

Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills

Papers in ⓘ

Epidemiology 25
- Sepsis Diagnosis and Treatment 24
Artificial Intelligence 14
- Machine Learning in Healthcare 13

Co-authors: Paul Elbers (32 shared papers)Armand R. J. Girbes (14 shared papers)Lucas M. Fleuren (10 shared papers)Ari Ercole (8 shared papers)Luca F. Roggeveen (7 shared papers)Tingjie Guo (6 shared papers)Mark Hoogendoorn (6 shared papers)Thomas Klausch (2 shared papers)
Journals: Journal of Critical Care (5 papers)Critical Care (3 papers)Critical Care Medicine (3 papers)International Journal of Medical Informatics (3 papers)Intensive Care Medicine (2 papers)
Partner nations: Netherlands United States United Kingdom

In The Last Decade

Patrick Thoral

33 papers receiving 950 citations

Hit Papers

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Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy 2020 · 414 citations

Peers

Countries citing papers authored by Patrick Thoral

Since Specialization

Citations

This map shows the geographic impact of Patrick Thoral's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Patrick Thoral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Thoral more than expected).

Fields of papers citing papers by Patrick Thoral

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Thoral. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Patrick Thoral. The network helps show where Patrick Thoral may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick Thoral, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Thoral Line = papers co-authored together Patrick Thoral links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy Intensive Care Medicine ·Lucas M. Fleuren, Thomas Klausch, Charlotte Zwager, Linda Schoonmade, Tingjie Guo, Luca F. Roggeveen, Eleonora L. Swart, Armand R. J. Girbes, Patrick Thoral, Ari Ercole, Mark Hoogendoorn, Paul Elbers Hit paper breakdown →	2020	414
2	Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example* Critical Care Medicine ·Patrick Thoral, Jan M. Peppink, Ronald H. Driessen, Eric J.G. Sijbrands, Erwin J. O. Kompanje, Lewis J. Kaplan, Heatherlee Bailey, Jozef Kesecioğlu, Maurizio Cecconi, Matthew M. Churpek, Gilles Clermont, Mihaela van der Schaar, Ari Ercole, Armand R. J. Girbes, Paul Elbers	2021	121
3	Machine learning in intensive care medicine: ready for take-off? Intensive Care Medicine ·(unknown), Lucas M. Fleuren, Patrick Thoral, Duncan Shillan, Ari Ercole, Paul Elbers	2020	47
4	External Evaluation of Population Pharmacokinetic Models of Vancomycin in Large Cohorts of Intensive Care Unit Patients Antimicrobial Agents and Chemotherapy ·Tingjie Guo, Reinier M. van Hest, Luca F. Roggeveen, Lucas M. Fleuren, Patrick Thoral, Rob J. Bosman, Peter H. J. van der Voort, Armand R. J. Girbes, Ron A. A. Mathôt, Paul Elbers	2019	46
5	Right dose, right now: bedside, real-time, data-driven, and personalised antibiotic dosing in critically ill patients with sepsis or septic shock—a two-centre randomised clinical trial Critical Care ·Luca F. Roggeveen, Tingjie Guo, Lucas M. Fleuren, Ronald H. Driessen, Patrick Thoral, Reinier M. van Hest, Ron A. A. Mathôt, E Swart, Harm‐Jan de Grooth, Bas van den Bogaard, Armand R. J. Girbes, Rob J. Bosman, Paul Elbers	2022	34
6	Predicting Readmission or Death After Discharge From the ICU: External Validation and Retraining of a Machine Learning Model Critical Care Medicine ·Anne de Hond, Ilse Kant, Mattia Fornasa, Giovanni Cinà, Paul Elbers, Patrick Thoral, M. Sesmu Arbous, Ewout W. Steyerberg	2022	26
7	Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock — rationale and design of a multicenter randomized controlled superiority trial Trials ·Luca F. Roggeveen, Lucas M. Fleuren, Tingjie Guo, Patrick Thoral, Harm‐Jan de Grooth, Eleonora L. Swart, Thomas Klausch, Peter H. J. van der Voort, Armand R. J. Girbes, Rob J. Bosman, Paul Elbers	2019	25
8	Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation The Lancet Digital Health ·Xiaoli Liu, Pan Hu, Wesley Yeung, Zhongheng Zhang, Vanda Ho, Chao Liu, Clark DuMontier, Patrick Thoral, Zhi Mao, Desen Cao, Roger G. Mark, Zhengbo Zhang, Mengling Feng, Deyu Li, Leo Anthony Celi	2023	25
9	Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists Critical Care Explorations ·Patrick Thoral, Mattia Fornasa, Daan P. de Bruin, Michele Tonutti, Hidde Hovenkamp, Ronald H. Driessen, Armand R. J. Girbes, Mark Hoogendoorn, Paul Elbers	2021	24
10	Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis Artificial Intelligence in Medicine ·Luca F. Roggeveen, Ali el Hassouni, Jonas Ahrendt, Tingjie Guo, Lucas M. Fleuren, Patrick Thoral, Armand R. J. Girbes, Mark Hoogendoorn, Paul Elbers	2020	23
11	Right Dose, Right Now: Development of AutoKinetics for Real Time Model Informed Precision Antibiotic Dosing Decision Support at the Bedside of Critically Ill Patients Frontiers in Pharmacology ·Luca F. Roggeveen, Tingjie Guo, Ronald H. Driessen, Lucas M. Fleuren, Patrick Thoral, Peter H. J. van der Voort, Armand R. J. Girbes, Rob J. Bosman, Paul Elbers	2020	21
12	The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge Value in Health ·Juliette de Vos, Laurenske A. Visser, Aletta A. de Beer, Mattia Fornasa, Patrick Thoral, Paul Elbers, Giovanni Cinà	2021	19
13	Definition and incidence of hypotension in intensive care unit patients, an international survey of the European Society of Intensive Care Medicine Journal of Critical Care ·Jimmy Schenk, Ward H. van der Ven, Jaap Schuurmans, S. Roerhorst, Thomas G. V. Cherpanath, Wim K. Lagrand, Patrick Thoral, Paul Elbers, Pieter R. Tuinman, Thomas Scheeren, Jan Bakker, Bart F. Geerts, Denise P. Veelo, Frederique Paulus, Alexander P. J. Vlaar	2021	18
14	Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study JMIR Human Factors ·Siri Lise van der Meijden, Anne de Hond, Patrick Thoral, Ewout W. Steyerberg, Ilse Kant, Giovanni Cinà, M. Sesmu Arbous	2022	17
15	Monitoring, management, and outcome of hypotension in Intensive Care Unit patients, an international survey of the European Society of Intensive Care Medicine Journal of Critical Care ·Ward H. van der Ven, Jaap Schuurmans, Jimmy Schenk, S. Roerhorst, Thomas G. V. Cherpanath, Wim K. Lagrand, Patrick Thoral, Paul Elbers, P.R. Tuinman, Thomas Scheeren, Jan Bakker, Bart F. Geerts, Denise P. Veelo, Frederique Paulus, Alexander P. J. Vlaar	2021	14
16	Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with Sepsis Journal of Clinical Medicine ·Răzvan Bologheanu, Lorenz Kapral, Daniel Laxar, Mathias Maleczek, Christoph Dibiasi, Sebastian Zeiner, Asan Agibetov, Ari Ercole, Patrick Thoral, Paul Elbers, Clemens Heitzinger, Oliver Kimberger	2023	13
17	Amino Acid Loss during Continuous Venovenous Hemofiltration in Critically Ill Patients Blood Purification ·Sandra N. Stapel, Ruben J. de Boer, Patrick Thoral, Marc Vervloet, Armand R. J. Girbes, Heleen M. Oudemans–van Straaten	2019	13
18	Oxygenation thresholds for invasive ventilation in hypoxemic respiratory failure: a target trial emulation in two cohorts Critical Care ·Christopher J. Yarnell, Federico Angriman, Bruno L. Ferreyro, Kuan Liu, Harm‐Jan de Grooth, Lisa Burry, Laveena Munshi, Sangeeta Mehta, Leo Anthony Celi, Paul Elbers, Patrick Thoral, Laurent Brochard, Hannah Wunsch, Robert Fowler, Lillian Sung, George Tomlinson	2023	11
19	Clinically Interpretable Machine Learning Models for Early Prediction of Mortality in Older Patients with Multiple Organ Dysfunction Syndrome: An International Multicenter Retrospective Study The Journals of Gerontology Series A ·Xiaoli Liu, Clark DuMontier, Pan Hu, Chao Liu, Wesley Yeung, Zhi Mao, Vanda Ho, Patrick Thoral, Po‐Chih Kuo, Jie Hu, Deyu Li, Desen Cao, Roger G. Mark, FeiHu Zhou, Zhengbo Zhang, Leo Anthony Celi	2022	9
20	Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis Journal of Intensive Care Medicine ·Sander Siepel, Tariq A. Dam, Lucas M. Fleuren, Armand R. J. Girbes, Mark Hoogendoorn, Patrick Thoral, Paul Elbers, Frank C. Bennis, (unknown)	2023	8

About Patrick Thoral

Patrick Thoral is a scholar working on Epidemiology, Artificial Intelligence, Surgery, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 966 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (24 papers), Machine Learning in Healthcare (13 papers), Hemodynamic Monitoring and Therapy (8 papers), Artificial Intelligence in Healthcare and Education (4 papers), Respiratory Support and Mechanisms (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Cardiac Arrest and Resuscitation (4 papers) and Intensive Care Unit Cognitive Disorders (3 papers). The work is most often cited by research in Health Informatics (167 citations), Family Practice (60 citations), Health Information Management (79 citations), Critical Care and Intensive Care Medicine (79 citations) and Applied Microbiology and Biotechnology (30 citations). Patrick Thoral has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Paul Elbers, Armand R. J. Girbes, Lucas M. Fleuren, Ari Ercole, Luca F. Roggeveen, Tingjie Guo, Mark Hoogendoorn, Thomas Klausch, Eleonora L. Swart and Charlotte Zwager. Their work appears in journals such as Journal of Critical Care, Critical Care, Critical Care Medicine, International Journal of Medical Informatics and Intensive Care Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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