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Updated: Jan 22, 2026

Transduction-Transplantation Mouse Model of Myeloproliferative Neoplasm
Published on: December 22, 2016
Lessons Learned in the Development of a Computable Phenotype for Response in Myeloproliferative Neoplasms
Evan Sholle1, Spencer Krichevsky2, Joseph Scandura2
1Information Technologies & Services, Weill Cornell Medicine, New York, NY.
Abstract:
Determining response status in patients with myeloproliferative neoplasms is a complex problem requiring the integration of both structured and unstructured data elements from disparate information systems. By applying multiple techniques, a collaborative team of informatics professionals and research personnel were able to determine which elements were amenable to automated extraction and which required expert adjudication. With this knowledge in mind, we were able to build a system that joins together programmatically-derived and manually-abstracted data elements to facilitate response assessment - an important end point in clinical and translational research in this disease area.
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