Queenie K W Li, Krista Wollny, Marinka Twilt, Catharine M Walsh, Katherine Bright, Gina Dimitropoulos, Linda Pires, Lesley Pritchard, Susan Samuel, Lianne Tomfohr-Madsen
Curricula, Teaching Methods, and Success Metrics of Clinician-Scientist Training Programs: A Scoping Review
Academic medicine : journal of the Association of American Medical Colleges
orphan diseases exemplified tcell prolymphocytic leukemia present inherent challenges due limited data availability complexities effective care study delves harnessing potential machine learning enhance care strategies orphan diseases specifically focusing allogeneic hematopoietic cell transplantation allohct tcell prolymphocytic leukemia investigation evaluates varying numbers variables impact model performance considering rarity disease utilizing data center international blood marrow transplant research study scrutinizes outcomes following allohct tcell prolymphocytic leukemia diverse machine learning models developed forecast acute graftversushost disease agvhd occurrence distinct grades postallohct assessment model performance relied balanced accuracy f1 score roc auc metrics findings highlight linear discriminant analysis lda classifier achieving highest testing balanced accuracy 058 predicting agvhd however challenges arose performance multiclass classification tasks affirming potential machine learning enhancing care orphan diseases study underscores impact limited data disease rarity model performance