Medical Code Prediction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

7 leaderboard tables shown for this task, 7 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

7 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

16 shown of 16 papers with code (27 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network
  25 Nov 2019 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  The innovations of our model are two-folds: it utilizes a multi-filter convolutional layer to capture various text patterns with different lengths and a residual convolutional layer to enlarge the receptive field.
• Explainable Prediction of Medical Codes from Clinical Text
  15 Feb 2018 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Our method aggregates information across the document using a convolutional neural network, and uses an attention mechanism to select the most relevant segments for each of the thousands of possible codes.
• An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records
  13 Jun 2024 2 repositories listed
  Electronic healthcare records are vital for patient safety as they document conditions, plans, and procedures in both free text and medical codes.
• Multitask Balanced and Recalibrated Network for Medical Code Prediction
  6 Sep 2021 2 repositories listed
  Nevertheless, automated medical coding is still challenging because of the imbalanced class problem, complex code association, and noise in lengthy documents.
• An Explainable CNN Approach for Medical Codes Prediction from Clinical Text
  14 Jan 2021 2 repositories listed
  Our approach substantially outperforms previous results on top-50 medical code prediction on MIMIC-III dataset.
• Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation
  29 Oct 2020 2 repositories listed
  LE initialisation consistently boosted most deep learning models for automated medical coding.
• A Label Attention Model for ICD Coding from Clinical Text
  13 Jul 2020 2 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 1 pointer-only (licence)
  In this paper, we propose a new label attention model for automatic ICD coding, which can handle both the various lengths and the interdependence of the ICD code related text fragments.
• MIMIC-III, a freely accessible critical care database
  24 May 2016 2 repositories listed
  MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital.
• Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study
  21 Apr 2023 1 repository listed
  Medical coding is the task of assigning medical codes to clinical free-text documentation.
• Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding
  7 Oct 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Automatic International Classification of Diseases (ICD) coding aims to assign multiple ICD codes to a medical note with average length of 3, 000+ tokens.
• Automatic ICD Coding Exploiting Discourse Structure and Reconciled Code Embeddings
  1 Oct 2022 1 repository listed
  However, existing studies did not exploit the discourse structure of clinical notes, which provides rich contextual information for code assignment.
• HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding
  3 Aug 2022 1 repository listed
  One of the challenges in curriculum learning is the design of curricula -- i.
• Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding
  3 Mar 2022 1 repository listed
  Automatic ICD coding is defined as assigning disease codes to electronic medical records (EMRs).
• Modeling Diagnostic Label Correlation for Automatic ICD Coding
  24 Jun 2021 1 repository listed
  To address this problem, we propose a two-stage framework to improve automatic ICD coding by capturing the label correlation.
• Medical Code Prediction from Discharge Summary: Document to Sequence BERT using Sequence Attention
  15 Jun 2021 1 repository listed
  So we propose a model based on bidirectional encoder representations from transformers (BERT) using the sequence attention method for automatic ICD code assignment.
• Multitask Recalibrated Aggregation Network for Medical Code Prediction
  2 Apr 2021 1 repository listed
  Medical coding translates professionally written medical reports into standardized codes, which is an essential part of medical information systems and health insurance reimbursement.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.