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Retrospective cohort study to devise a treatment decision score predicting adverse 24-month radiological activity in early multiple sclerosis.

Alexander HapfelmeierBegum Irmak OnMark MühlauJan S KirschkeAchim BertheleChristiane GasperiUlrich Robert MansmannAlexander WuschekMatthias BussasMartin BoekerAntonios BayasMakbule SenelJoachim HavlaMarkus C KowarikKlaus KuhnIngrid GatzHelmut SpenglerBenedikt WiestlerLioba GrundlDominik SeppBernhard Hemmer
Published in: Therapeutic advances in neurological disorders (2023)
Routine clinical data from multiple sources can be successfully integrated to build prediction models to support treatment decision-making. In this study, the resulting MS-TDS estimates individualized treatment success probabilities that can identify patients who benefit from early platform medication. External validation of the MS-TDS is required, and a prospective study is currently being conducted. In addition, the clinical relevance of the MS-TDS needs to be established.
Keyphrases
  • multiple sclerosis
  • mass spectrometry
  • ms ms
  • machine learning
  • healthcare
  • emergency department
  • artificial intelligence
  • replacement therapy
  • big data