Not finding it? Sign in to also search OpenAlex live.
-
Survival prediction models since liver transplantation - comparisons between Cox models and machine learning techniques2020 BMC Medical Research Methodology article Health Professions Artificial Intelligence in Healthcare Open access
Georgios Kantidakis, Hein Putter, Carlo Lancia, Jacob D. de Boer, Andries Erik Braat, Marta F. Fiocco
80citations -
Questionnaire-Based Prediction of Incident Coronary Artery Disease: Developing and Validating Machine Learning Models for Multiple Populations2024 SSRN Electronic Journal preprint Health Professions Artificial Intelligence in Healthcare Open access
Michail Kokkorakis, Pytrik Folkertsma, Filippos Anagnostakis, Nicole Sirotin, Manyoo A. Agarwal, Ronney S. Shantouf, +8 more
0citations -
Questionnaire-Based Prediction of Incident Coronary Artery Disease: Developing and Validating Machine Learning Models for Multiple Populations2024 SSRN Electronic Journal preprint Health Professions Artificial Intelligence in Healthcare Open access
Michail Kokkorakis, Pytrik Folkertsma, Filippos Anagnostakis, Nicole Sirotin, Manyoo A. Agarwal, Ronney S. Shantouf, +8 more
0citations -
Development of Machine Learning Algorithms for Identifying Patients With Limited Health Literacy2024 Journal of Evaluation in Clinical Practice article Health Professions Health Literacy and Information Accessibility Open access
Dylan Koole, Oscar Yuan-Jie Shen, Amanda Lans, Tom Maarten Groot, Jorrit‐Jan Verlaan, Joseph H. Schwab
3citations -
Empirical analyses and simulations showed that different machine and statistical learning methods had differing performance for predicting blood pressure2022 Scientific Reports article Health Professions Artificial Intelligence in Healthcare Open access
Peter C. Austin, Frank E. Harrell, Douglas S. Lee, Ewout Willem Steyerberg
13citations -
When the whole is greater than the sum of its parts: why machine learning and conventional statistics are complementary for predicting future health outcomes2025 Clinical Kidney Journal article Health Professions Artificial Intelligence in Healthcare Open access
Roemer J. Janse, Ameen Abu Hanna, Iacopo Vagliano, Vianda S Stel, Kitty J. Jager, Giovanni Luigi Tripepi, +3 more
8citations -
Characterizing the role of early life factors in machine learning-based multimorbidity risk prediction2025 PLOS Digital Health article Health Professions Artificial Intelligence in Healthcare Open access
Vien Ngoc Dang, Charlotte A. M. Cecil, Carmine Maria Pariante, Jerónimo Hernández-González, Karim Lekadir
0citations -
Risk prediction tools for pressure injury occurrence: an umbrella review of systematic reviews reporting model development and validation methods2025 Diagnostic and Prognostic Research review Health Professions Pressure Ulcer Prevention and Management Open access
Bethany Hillier, Katie Scandrett, April Coombe, Tina Hernandez‐Boussard, Ewout Willem Steyerberg, Yemisi Takwoingi, +2 more
5citations -
Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naïve Bayes classifier, and traditional logistic regression2021 Psychiatry Research article Health Professions Artificial Intelligence in Healthcare Open access
Wessel Adrianus van Eeden, Chuan Wen Luo, Albert M. van Hemert, Ingrid V. E. Carlier, Brenda W.J.H. Penninx, Klaas J. Wardenaar, +2 more
55citations -
Catalyzing IVF outcome prediction: exploring advanced machine learning paradigms for enhanced success rate prognostication2024 Frontiers in Artificial Intelligence article Health Professions Artificial Intelligence in Healthcare Open access
Seyed‐Ali Sadegh‐Zadeh, Sanaz Khanjani, Shima Javanmardi, Bita Bayat, Zahra Naderi, Amir M. Hajiyavand
33citations -
Systematic review finds risk of bias and applicability concerns for models predicting central line-associated bloodstream infection2023 Journal of Clinical Epidemiology review Health Professions Central Venous Catheters and Hemodialysis Open access
Shan Gao, Elena Albu, Krizia Tuand, Veerle Cossey, Frank E Rademakers, Ben Van Calster, +1 more
13citations -
A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes2025 Frontiers in Nutrition article Health Professions Artificial Intelligence in Healthcare Open access
Shuheng Yang, Ralf Weiskirchen, Wenjing Zheng, Xiaobo Hu, Zhiguo Liu, Hualin Wang
5citations