Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models

Authors: Wang, Yuqing, Zhao, Yun, Keller, Sara Alessandra, de Hond, Anne, van Buchem, Marieke M., Pillai, Malvika, Hernandez-Boussard, Tina

Subject Terms: Computer Science - Computation and Language

Access URL: http://arxiv.org/abs/2406.12033

The harms of class imbalance corrections for machine learning based prediction models: a simulation study

Authors: Carriero, Alex, Luijken, Kim, de Hond, Anne, Moons, Karel GM, van Calster, Ben, van Smeden, Maarten

Subject Terms: Statistics - Methodology

Access URL: http://arxiv.org/abs/2404.19494

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The influence of the dynamic context of the pandemic on the predictive performance of mortality predictions over time in older patients hospitalized for COVID-19

Authors: Mooijaart, Simon P., Gussekloo, Jacobijn, Polinder-Bos, Harmke A., Moons, Karel G.M., van Smeden, Maarten, Peeters, Geeske, Melis, René J.F., Elders, Petra J.M., Festen, Jan, van der Linden, Carolien M.J., Jansen, Steffy W.M., Willems, Hanna C., van der Bo, Jessica M., van Raaij, Bas F.M. ^{a, b, ∗, 1}, Zahra, Anum ^{c, 1}, Steyerberg, Ewout W. ^{c, d}, de Hond, Anne A.H. ^c, Smits, Rosalinde A.L. ^{a, b}, van der Klei, Veerle M.G.T.H. ^{a, b}, Minnema, Julia ^e, Appelman, Brent ^f, Smorenberg, Annemieke ^g, Trompet, Stella ^{a, b}, Noordam, Raymond ^a

Source: In Journal of Clinical Epidemiology March 2025 179

Updating methods for artificial intelligence–based clinical prediction models: a scoping review

Authors: Meijerink, Lotta M. ^{a, 1, ∗}, Dunias, Zoë S. ^{a, 1}, Leeuwenberg, Artuur M. ^a, de Hond, Anne A.H. ^a, Jenkins, David A. ^b, Martin, Glen P. ^b, Sperrin, Matthew ^b, Peek, Niels ^c, Spijker, René ^a, Hooft, Lotty ^a, Moons, Karel G.M. ^a, van Smeden, Maarten ^a, Schuit, Ewoud ^a

Source: In Journal of Clinical Epidemiology February 2025 178

When, where, who, what, and why? The five Ws of workflow analysis for implementing an AI decision support tool at the intensive care

Authors: de Hond, Anne A.H. ^{a, b, c, ⁎}, Vosslamber, Suzanne ^d, Lange, Sanne ^e, Engel, Friso ^e, Lindhout, Mette ^e, Noorlag, Puck ^e, Steyerberg, Ewout W. ^{a, b}, Cinà, Giovanni ^{d, f, g}, Arbous, M. Sesmu ^e

Source: In Human Factors in Healthcare June 2025 7

Predicting Readmission or Death After Discharge From the ICU: External Validation and Retraining of a Machine Learning Model

Authors: de Hond, Anne A. H., Kant, Ilse M. J., Fornasa, Mattia, Cinà, Giovanni, Elbers, Paul W. G., Thoral, Patrick J., Sesmu Arbous, M., Steyerberg, Ewout W.

Source: Critical care medicine. 51(2):291-300

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100195550140.0x000001&indx=1&recIds=ETOCvdc_100195550140.0x000001

A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization

Authors: Fanconi, Claudio, de Hond, Anne, Peterson, Dylan, Capodici, Angelo, Hernandez-Boussard, Tina

Source: In eBioMedicine June 2023 92

Picture a data scientist: a call to action for increasing diversity, equity, and inclusion in the age of AI

Authors: de Hond, Anne A H, van Buchem, Marieke M, Hernandez-Boussard, Tina

Source: Journal of the American Medical Informatics Association. 29(12):2178-2181

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100164936809.0x000001&indx=1&recIds=ETOCvdc_100164936809.0x000001

Charlson comorbidity index has no incremental value for mortality risk prediction in nursing home residents with COVID-19 disease.

Authors: Zahra, Anum, van Smeden, Maarten, Elders, Petra J. M., Festen, Jan, Gussekloo, Jacobijn, Joling, Karlijn J., van Loon, Anouk, Luijken, Kim, Melis, René J. F., Mooijaart, Simon P., Moons, Karel G. M., Peeters, Geeske, Polinder-Bos, Harmke A., Wouters, Fenne, de Hond, Anne

Source: BMC Geriatrics; 1/30/2025, Vol. 25 Issue 1, p1-9, 9p

Subject Terms: NURSING home residents, COVID-19 pandemic, OLDER people, COVID-19, PROGNOSIS, DEATH forecasting

Machine learning for developing a prediction model of hospital admission of emergency department patients: Hype or hope?

Authors: De Hond, Anne ^*, Raven, Wouter, Schinkelshoek, Laurens, Gaakeer, Menno, Ter Avest, Ewoud, Sir, Ozcan, Lameijer, Heleen, Hessels, Roger Apa, Reijnen, Resi, De Jonge, Evert, Steyerberg, Ewout, Nickel, Christian H., De Groot, Bas

Source: In International Journal of Medical Informatics August 2021 152

Predicting Depression Risk in Patients with Cancer Using Multimodal Data
Caring is Sharing — Exploiting the Value in Data for Health and Innovation, Proceedings of the 33rd Medical Informatis Europe MIE 2023

Authors: de Hond, Anne, van Buchem, Marieke, Fanconi, Claudio, Roy, Mohana, Blayney, Douglas, Kant, Ilse, Steyerberg, Ewout, Hernandez-Boussard, Tina

Source: Studies in Health Technology and Informatics. 302:817-818

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN608446301&indx=1&recIds=ETOCCN608446301

Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty.

Authors: Oosterhoff, Jacobien H. F.^1,2 j.h.f.oosterhoff@tudelft.nl, de Hond, Anne A. H.^3,4,5, Peters, Rinne M.⁶, van Steenbergen, Liza N.⁷, Sorel, Juliette C.⁸, Zijlstra, Wierd P.⁶, Poolman, Rudolf W.⁸, Ring, David⁹, Jutte, Paul C.¹⁰, Kerkhoffs, Gino M. M. J.¹, Putter, Hein⁴, Steyerberg, Ewout W.^3,4, Doornberg, Job N.¹⁰

Source: Clinical Orthopaedics & Related Research®. Aug2024, Vol. 482 Issue 8, p1472-1482. 11p.

Subject Terms: *MACHINE learning, *RECEIVER operating characteristic curves, *TOTAL hip replacement, *TOTAL knee replacement, *REOPERATION

Can time heal all wounds? An empirical assessment of adaptation to functional limitations in an older population

Authors: de Hond, Anne, Bakx, Pieter, Versteegh, Matthijs

Source: In Social Science & Medicine February 2019 222:180-187

Machine learning did not beat logistic regression in time series prediction for severe asthma exacerbations.

Authors: de Hond, Anne A. H.^1,2,3 (AUTHOR) a.a.h.de_hond@lumc.nl, Kant, Ilse M. J.^1,2,3 (AUTHOR), Honkoop, Persijn J.³ (AUTHOR), Smith, Andrew D.⁴ (AUTHOR), Steyerberg, Ewout W.^2,3 (AUTHOR), Sont, Jacob K.³ (AUTHOR)

Source: Scientific Reports. 11/27/2022, Vol. 12 Issue 1, p1-8. 8p.

Subject Terms: *LOGISTIC regression analysis, *TIME series analysis, *MACHINE learning, *EXPIRATORY flow, *ASTHMATICS, *ASTHMA

Don't be misled: 3 misconceptions about external validation of clinical prediction models

Authors: la Roi-Teeuw, Hannah M., van Royen, Florien S., de Hond, Anne, Zahra, Anum, de Vries, Sjoerd, Bartels, Richard, Carriero, Alex J., van Doorn, Sander, Dunias, Zoë S., Kant, Ilse, Leeuwenberg, Tuur, Peters, Ruben, Veerhoek, Laura, van Smeden, Maarten, Luijken, Kim

Source: In Journal of Clinical Epidemiology August 2024 172

From text to treatment: the crucial role of validation for generative large language models in health care

Authors: de Hond, Anne ^a, Leeuwenberg, Tuur ^a, Bartels, Richard ^{a, d}, van Buchem, Marieke ^{b, c}, Kant, Ilse ^d, Moons, Karel GM ^a, van Smeden, Maarten ^a

Source: In The Lancet Digital Health July 2024 6(7):e441-e443

Development and clinical implementation of real-time decision support tools for ICU discharge

Authors: Thoral, P.J., de Hond, Anne, Sauer, C.M., de Bruin, D.P., Fornasa, M., Arbous, Sesmu, Cinà, Giovanni, Elbers, P.W.G.

Source: In Journal of Critical Care June 2024 81

DEVELOPMENT AND VALIDATION OF A MACHINE LEARNING MODEL TO PREDICT CONTACT MOMENTS IN POST-MYOCARDIAL INFARCTION HOME MEASUREMENTS
American Medical Informatics Association

Authors: De Hond, Anne A. H., Stoop, Esmee, Van Keulen, Nicole, Van Winden, Loes, Poorter, Ellen, Atsma, Douwe, Kant, Ilse, Steyerberg, Ewout

Source: AMIA annual symposium. 3:1343-1344

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN607346608&indx=1&recIds=ETOCCN607346608

Predicting Depression Risk in Patients With Cancer Using Multimodal Data: Algorithm Development Study.

Authors: de Hond, Anne, van Buchem, Marieke, Fanconi, Claudio, Roy, Mohana, Blayney, Douglas, Kant, Ilse, Steyerberg, Ewout, Hernandez-Boussard, Tina

Source: JMIR Medical Informatics; 2024, Vol. 12, p1-15, 15p