Machine learning and synthetic outcome estimation for individualised antimicrobial cessation

• Main Authors: William J. Bolton (Author), Timothy M. Rawson (Author), Bernard Hernandez (Author), Richard Wilson (Author), David Antcliffe (Author), Pantelis Georgiou (Author), Alison H. Holmes (Author)
• Format: Book
• Published: Frontiers Media S.A., 2022-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

The decision on when it is appropriate to stop antimicrobial treatment in an individual patient is complex and under-researched. Ceasing too early can drive treatment failure, while excessive treatment risks adverse events. Under- and over-treatment can promote the development of antimicrobial resis...