Commit 35db8d09 authored by Chia Ying Chiu's avatar Chia Ying Chiu
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Update README.md

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Introduction Introduction
The International Classification of Diseases (ICD) standardize the format for reporting the cause of death certificate, promoting the comparability of mortality statistics internationally (CDC, 2015). To reflect the changes in the medical field, the ICD have been revised periodically and there have then ten revisions so far. In the United States, the International Classification of Diseases, Clinical Modification (ICD-9-CM), is implemented in assigning codes to diagnoses associated with inpatient, outpatient, and physician office utilization (CDC, 2015). The coding process is crucial and failure to correctly code a significant diagnosis can result in a substantial loss on reimbursement for the hospital. Given the importance in ICD coding, it is still mainly accomplished manually, which is often expensive, time-consuming, and inefficient (Li et al, 2019). Therefore, in this study, we aim to automate the ICD-9 coding by implementing a natural language processing (NLP) model on unstructured clinical notes. The International Classification of Diseases (ICD) standardizes the format for reporting the cause of death certificate, promoting the comparability of mortality statistics internationally (CDC, 2015). To reflect the changes in the medical field, the ICD have been revised periodically and there have then ten revisions so far. In the United States, the International Classification of Diseases, Clinical Modification (ICD-9-CM), is implemented in assigning codes to diagnoses associated with inpatient, outpatient, and physician office utilization (CDC, 2015). The coding process is crucial and failure to correctly code a significant diagnosis can result in a substantial loss on reimbursement for the hospital. Given the importance in ICD coding, it is still mainly accomplished manually, which is often expensive, time-consuming, and inefficient (Li et al, 2019). Therefore, in this study, we aim to automate the ICD-9 coding by implementing a natural language processing (NLP) model on unstructured clinical notes.
Method Method
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