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Theranostic markers for personalized therapy of spider phobia: Methods of a bicentric external cross-validation machine learning approach.

Hanna SchwarzmeierElisabeth Johanna LeehrJoscha BöhnleinFabian Reinhard SeegerKati RoesmannBettina GathmannMartin J HerrmannNiklas SiminskiMarkus JunghöferThomas StraubeDominik GrotegerdUdo Dannlowski
Published in: International journal of methods in psychiatric research (2019)
This study will offer cross-validated theranostic markers for predicting the individual success of exposure-based therapy. Findings will support clinical decision-making on personalized therapy, bridge the gap between basic and clinical research, and bring stratified therapy into reach. The study is registered at ClinicalTrials.gov (ID: NCT03208400).
Keyphrases
  • machine learning
  • decision making
  • photodynamic therapy
  • artificial intelligence
  • deep learning
  • iron oxide