Nov 23, 2021 · This study's methods aim at predicting singleton CPT codes for each surgery. The single CPT label reflects the most dominant procedure among other CPTs.

Nov 23, 2021 · This study improves the prediction of CPTs by the means of informative features and a novel re-prioritization algorithm. Methods: The input data ...

Methods The input data used in this study is composed of both structured and unstructured data. The ground truth labels (CPTs) are obtained from medical coding ...

Nov 1, 2024 · A tree based approach for multi-class classification of surgical procedures using structured and unstructured data. Access & Citations. 2104 ...

Methods: The input data used in this study is composed of both structured and unstructured data. The ground truth labels (CPTs) are obtained from medical coding ...

Соавторы ; A Tree Based Approach for Multi-class Classification of Surgical Procedures Using Structured and Unstructured Data. T Khaleghi, A Murat, S Arslanturk.

A tree based approach for multi-class classification of surgical procedures using structured and unstructured data. T Khaleghi, A Murat, S Arslanturk. BMC ...

A Tree Based Approach for Multi-class Classification of Surgical Procedures Using Structured and Unstructured Data · Khaleghi. ,. Murat. ,. Arslanturk. 2021.

A tree based approach for multi-class classification of surgical procedures using structured and unstructured data. Authors. Tannaz Khaleghi; Alper Murat; Suzan ...

This study aimed at testing the feasibility of neurosurgical procedures classification into 100+ classes using natural language processing and machine learning.