Medical Report Segmentation

A General Supervised Approach for Segmentation of Clinical Texts

A General Supervised Approach for Segmentation of Clinical Texts, Ganesan, Kavita A., and Subotin Michael , IEEE International Conference on BigData , (2014)

Abstract

Segmentation of clinical texts into logical groups is critical for all sorts of tasks such as medical coding for billing, auto drafting of discharge summaries, patient problem list generation, population study on allergies, etc. While there have been previous studies on using supervised approaches to segmentation of clinical texts, these existing approaches were trained and tested on a fairly limited data set showing low adaptibility to new unseen documents.