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Prediction of ineffectiveness of biological drugs using machine learning and explainable AI methods: data from the Austrian Biological Registry BioReg.

Dubravka UkalovicBurkhard F LeebBernhard RintelenGabriela Eichbauer-SturmPeter SpellitzRudolf PuchnerManfred HeroldMiriam StetterVera FerinczJohannes Resch-PassiniJochen ZwerinaMarcus Zimmermann-RittereiserRuth Fritsch-Stork
Published in: Arthritis research & therapy (2024)
Ineffectiveness of biological drugs could be predicted with promising accuracy. Interestingly, individual parameters were found to be associated with drug responses in different directions, indicating highly complex interactions. Machine learning can be of help in the decision-process by disentangling these relations.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • electronic health record
  • decision making
  • deep learning