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Let’s ask the patient: disease prediction based on patients’ symptom descriptions in free text2025 Rheumatology Advances in Practice article Health Professions Artificial Intelligence in Healthcare Open access
Inés Pérez-Sancristóbal, Nils Steinz, Ling Qin, Tjardo Daniël Maarseveen, Floor Dijkstra Zegers, Barbara Bislawska Axnäs, +2 more
0citations -
ABS0413 LET'S ASK THE PATIENT: DISEASE PREDICTION BASED ON FREE-TEXT SYMPTOM DESCRIPTIONS2025 Annals of the Rheumatic Diseases conference-abstract Health Professions Artificial Intelligence in Healthcare Open access
I. Pérez - Sancristóbal, Nils Steinz, Tjardo Daniël Maarseveen, Floor Dijkstra Zegers, B. Axnäs, Luis Rodríguez‐Rodríguez, +1 more
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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 -
78 Pharos: A Novel Mapping Software to Identify Cell Network Signal Strength for Mobile Health Epidemiology2023 Journal of Clinical and Translational Science article Health Professions Mobile Health and mHealth Applications Open access
Carson Paige Moore, Govert J. van Dam, Maurice R. Odiere, David D. Wright, Thomas Scherr
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
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