Pilot Study of Machine Learning Techniques to Evaluate the Social Worker Assessment Notes Prior to Allogeneic Hematopoietic Cell Transplantation

Key Points

• The results demonstrate that machine learning techniques can effectively evaluate social worker assessment notes, improving patient selection.
• Significantly improved evaluation accuracy was noted, with a 20% increase compared to traditional methods.
• Analysis used data-driven, machine learning approaches to assess social worker assessments pre-transplant.
• These findings suggest that machine learning could enhance patient evaluations in clinical settings.