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$\textbf{Objective}$ Develop an automatic diagnostic system which only uses textual admission information from Electronic Health Records (EHRs) and assist clinicians with a timely and statistically proved decision tool. The hope is that the…

Computation and Language · Computer Science 2017-12-08 Christy Li , Dimitris Konomis , Graham Neubig , Pengtao Xie , Carol Cheng , Eric Xing

Clinical coding is the task of assigning a set of alphanumeric codes, referred to as ICD (International Classification of Diseases), to a medical event based on the context captured in a clinical narrative. The latest version of ICD,…

Computation and Language · Computer Science 2022-03-11 Cansu Sen , Bingyang Ye , Javed Aslam , Amir Tahmasebi

Automatic International Classification of Diseases (ICD) coding aims to assign multiple ICD codes to a medical note with an average of 3,000+ tokens. This task is challenging due to the high-dimensional space of multi-label assignment…

Computation and Language · Computer Science 2022-11-30 Zhichao Yang , Sunjae Kwon , Zonghai Yao , Hong Yu

Automatic International Classification of Diseases (ICD) coding is defined as a kind of text multi-label classification problem, which is difficult because the number of labels is very large and the distribution of labels is unbalanced. The…

Computation and Language · Computer Science 2021-06-21 Yifan Wu , Min Zeng , Ying Yu , Min Li

Although the International Classification of Diseases (ICD) has been adopted worldwide, manually assigning ICD codes to clinical text is time-consuming, error-prone, and expensive, motivating the development of automated approaches. This…

Computation and Language · Computer Science 2024-02-06 Gonçalo Gomes , Isabel Coutinho , Bruno Martins

Clinical notes in electronic health records contain highly heterogeneous writing styles, including non-standard terminology or abbreviations. Using these notes in predictive modeling has traditionally required preprocessing (e.g. taking…

Machine Learning · Computer Science 2019-11-18 Jonas Kemp , Alvin Rajkomar , Andrew M. Dai

Automatic ICD coding is the task of assigning codes from the International Classification of Diseases (ICD) to medical notes. These codes describe the state of the patient and have multiple applications, e.g., computer-assisted diagnosis or…

Computation and Language · Computer Science 2021-04-15 Damian Pascual , Sandro Luck , Roger Wattenhofer

Clinical interactions are initially recorded and documented in free text medical notes. ICD coding is the task of classifying and coding all diagnoses, symptoms and procedures associated with a patient's visit. The process is often manual…

Information Retrieval · Computer Science 2020-06-09 Zachariah Zhang , Jingshu Liu , Narges Razavian

Clinical diagnosis, which aims to assign diagnosis codes for a patient based on the clinical note, plays an essential role in clinical decision-making. Considering that manual diagnosis could be error-prone and time-consuming, many…

Computation and Language · Computer Science 2021-01-28 Yichao Du , Pengfei Luo , Xudong Hong , Tong Xu , Zhe Zhang , Chao Ren , Yi Zheng , Enhong Chen

The International Classification of Diseases (ICD) is an authoritative medical classification system of different diseases and conditions for clinical and management purposes. ICD indexing assigns a subset of ICD codes to a medical record.…

Computation and Language · Computer Science 2024-05-30 Xindi Wang , Robert E. Mercer , Frank Rudzicz

Medical coding translates professionally written medical reports into standardized codes, which is an essential part of medical information systems and health insurance reimbursement. Manual coding by trained human coders is time-consuming…

Computation and Language · Computer Science 2021-09-27 Wei Sun , Shaoxiong Ji , Erik Cambria , Pekka Marttinen

International Classification of Diseases (ICD) coding plays an important role in systematically classifying morbidity and mortality data. In this study, we propose a hierarchical label-wise attention Transformer model (HiLAT) for the…

Machine Learning · Computer Science 2022-10-04 Leibo Liu , Oscar Perez-Concha , Anthony Nguyen , Vicki Bennett , Louisa Jorm

Clinical coding is an administrative process that involves the translation of diagnostic data from episodes of care into a standard code format such as ICD10. It has many critical applications such as billing and aetiology research. The…

Clinical notes are text documents that are created by clinicians for each patient encounter. They are typically accompanied by medical codes, which describe the diagnosis and treatment. Annotating these codes is labor intensive and error…

Computation and Language · Computer Science 2018-04-18 James Mullenbach , Sarah Wiegreffe , Jon Duke , Jimeng Sun , Jacob Eisenstein

Background: Medical coding structures healthcare data for research, quality monitoring, and policy. This study assesses the potential of large language models (LLMs) to assign ICPC-2 codes using the output of a domain-specific search…

Many recent studies use machine learning to predict a small number of ICD-9-CM codes. In practice, on the other hand, physicians have to consider a broader range of diagnoses. This study aims to put these previously incongruent evaluation…

Applications · Statistics 2020-06-25 Gil Alon , Elizabeth Chen , Guergana Savova , Carsten Eickhoff

Automatic coding of International Classification of Diseases (ICD) is a multi-label text categorization task that involves extracting disease or procedure codes from clinical notes. Despite the application of state-of-the-art natural…

Machine Learning · Computer Science 2023-10-17 Chang Lu , Chandan K. Reddy , Ping Wang , Yue Ning

International Classification of Diseases(ICD) is an authoritative health care classification system of different diseases and conditions for clinical and management purposes. Considering the complicated and dedicated process to assign…

Computation and Language · Computer Science 2022-01-13 Haoran Shi , Pengtao Xie , Zhiting Hu , Ming Zhang , Eric P. Xing

Past studies on the ICD coding problem focus on predicting clinical codes primarily based on the discharge summary. This covers only a small fraction of the notes generated during each hospital stay and leaves potential for improving…

Machine Learning · Computer Science 2023-02-27 Clarence Boon Liang Ng , Diogo Santos , Marek Rei

Medical coding is the task of assigning medical codes to clinical free-text documentation. Healthcare professionals manually assign such codes to track patient diagnoses and treatments. Automated medical coding can considerably alleviate…

Machine Learning · Computer Science 2023-04-24 Joakim Edin , Alexander Junge , Jakob D. Havtorn , Lasse Borgholt , Maria Maistro , Tuukka Ruotsalo , Lars Maaløe