Using Automated Machine Learning to Predict Necessary Upcoming Therapy Changes in Patients With Psoriasis Vulgaris and Psoriatic Arthritis and Uncover New Influences on Disease Progression: Retrospective Study.

Daniel Schaffert Igor Bibi Mara Goller Christian Lull Jan Alwin von Ahnen Georg Gross Theresa Schulze-Hagen Johannes Knitza Sebastian Kuhn Johannes Benecke Astrid Schmieder Jan Leipe Victor Olsavszky

Published in: JMIR formative research (2024)

The practical implications of these models for clinical decision-making in PsV and PsA can guide early investigation and treatment, contributing to improved patient outcomes.

Keyphrases

machine learning
prostate cancer
deep learning
high throughput
big data
stem cells
radical prostatectomy
combination therapy
bone marrow
replacement therapy
single cell