Feb 24, 2023 · Abstract: This paper addresses the problem of correcting medical coding errors with respect to some coding recommendations.

Abstract—This paper addresses the problem of correcting medical coding errors with respect to some coding recommen- dations. The problem consists in ...

This paper addresses the problem of correcting medical coding errors with respect to some coding recommendations. The problem consists in clustering medical ...

Through the proposed method, we successfully identified and validated four distinct subtypes of miscoding behaviors that traditional methodologies fail to find.

May 8, 2024 · A Clustering-Based Optimization Approach for Hospital Miscoding Correction. IEEE Trans Autom. Sci. Eng. 21(2): 1501-1516 (2024); 2022. [j5].

In this paper, we leverage a densely connected convolutional neural network which is able to produce variable n-gram features for clinical note feature ...

A Clustering-Based Optimization Approach for Hospital Miscoding Correction ... optimization based methodology to identify and correct ICD miscoding ...

A Clustering-Based Optimization Approach for Hospital Miscoding Correction. This paper addresses the problem of correcting medical coding errors with respect ...

A Clustering-Based Optimization Approach for Hospital Miscoding Correction. Article in IEEE Transactions on Automation Science and Engineering (February 2023) ...

A Clustering-Based Optimization Approach for Hospital Miscoding Correction ... The problem consists in clustering medical codings and determining for each cluster ...