Medical Code Prediction on MIMIC-III

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Micro-F1

Rank	Model	Micro-F1	Macro-F1	Micro-AUC	Macro-AUC	Precision@5	Precision@8	Precision@15	mAP	Paper	Code	Year
1	GKI-ICD	61.2	12.3	99.3	96.2	–	77.7	62.4	66.1	A General Knowledge Injection Framework for ICD Coding	xuzhang0112/GKI-ICD	2025
2	PLM-CA	60.0	24.7	–	–	–	–	–	64.7	An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records	joakimedin/medical-coding-reproducibility · JoakimEdin/explainable-medical-coding	2024
3	MSMN+KEPTLongformer	59.9	11.8	–	–	–	77.1	61.5	–	Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding	whaleloops/KEPT	2022
4	EffectiveCAN	58.9	10.6	98.8	91.5	–	75.8	60.6	–	Effective Convolutional Attention Network for Multi-label Clinical Document Classification
5	Discnet+RE	58.8	14.0	99.3	95.6	–	76.5	61.4	–	Automatic ICD Coding Exploiting Discourse Structure and Reconciled Code Embeddings	discnet2022/discnet
6	RAC	58.6	12.7	99.2	94.8	82.9	75.4	60.1	–	Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines		2021
7	MSMN	58.4	10.3	99.2	95.0	–	75.2	59.9	–	Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding	ganjinzero/icd-msmn	2022
8	JointLAAT	57.5	10.7	98.8	92.1	80.6	73.5	59.0	–	A Label Attention Model for ICD Coding from Clinical Text	joakimedin/medical-coding-reproducibility · aehrc/LAAT	2020
8	LAAT	57.5	9.9	98.8	91.9	81.3	73.8	59.1	–	A Label Attention Model for ICD Coding from Clinical Text	joakimedin/medical-coding-reproducibility · aehrc/LAAT	2020
10	MSATT-KG	55.3	9.0	99.2	91.0	–	72.8	58.1	–
11	MultiResCNN	55.2	8.5	98.6	91.0	–	73.4	58.4	–	ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network	joakimedin/medical-coding-reproducibility · foxlf823/Multi-Filter-Residual-Convolutional-Neural-Network · dalgu90/icd-coding-benchmark	2019
12	CAML	53.9	8.8	98.6	89.5	–	70.9	56.1	–	Explainable Prediction of Medical Codes from Clinical Text	jamesmullenbach/caml-mimic · dalgu90/icd-coding-benchmark · HeoTaksung/MIMIC-III_CNN_Attention	2018
13	DR-CAML	52.9	8.6	98.5	89.7	–	69.0	54.8	–	Explainable Prediction of Medical Codes from Clinical Text	jamesmullenbach/caml-mimic · dalgu90/icd-coding-benchmark · HeoTaksung/MIMIC-III_CNN_Attention	2018
14	SVM	44.1	–	–	–	–	–	–	–	Explainable Prediction of Medical Codes from Clinical Text	jamesmullenbach/caml-mimic · dalgu90/icd-coding-benchmark · HeoTaksung/MIMIC-III_CNN_Attention	2018
15	CNN	41.9	4.2	96.9	80.6	–	58.1	44.3	–	Explainable Prediction of Medical Codes from Clinical Text	jamesmullenbach/caml-mimic · dalgu90/icd-coding-benchmark · HeoTaksung/MIMIC-III_CNN_Attention	2018
16	Bi-GRU	41.7	3.8	97.1	82.2	–	58.5	44.5	–	Explainable Prediction of Medical Codes from Clinical Text	jamesmullenbach/caml-mimic · dalgu90/icd-coding-benchmark · HeoTaksung/MIMIC-III_CNN_Attention	2018
17	HAN	40.7	3.6	98.1	88.5	–	61.4	–	–	Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation	acadTags/Explainable-Automated-Medical-Coding · dmcguire81/CS598DL4H	2020
18	Logistic Regression	27.2	1.1	93.7	56.1	–	54.2	41.1	–	Explainable Prediction of Medical Codes from Clinical Text	jamesmullenbach/caml-mimic · dalgu90/icd-coding-benchmark · HeoTaksung/MIMIC-III_CNN_Attention	2018
19	GKI-ICD	61.2	12.3	99.3	96.2	–	77.7	62.4	66.1	A General Knowledge Injection Framework for ICD Coding	xuzhang0112/GKI-ICD	2025
20	PLM-CA	60.0	24.7	–	–	–	–	–	64.7	An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records	joakimedin/medical-coding-reproducibility · JoakimEdin/explainable-medical-coding	2024