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SOTA
Medical Code Prediction
Medical Code Prediction On Mimic Iii
Medical Code Prediction On Mimic Iii
评估指标
Macro-AUC
Macro-F1
Micro-AUC
Micro-F1
Precision@15
Precision@8
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Macro-AUC
Macro-F1
Micro-AUC
Micro-F1
Precision@15
Precision@8
Paper Title
Repository
DR-CAML
89.7
8.6
98.5
52.9
54.8
69.0
Explainable Prediction of Medical Codes from Clinical Text
MSMN
95.0
10.3
99.2
58.4
59.9
75.2
Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding
Bi-GRU
82.2
3.8
97.1
41.7
44.5
58.5
Explainable Prediction of Medical Codes from Clinical Text
HAN
88.5
3.6
98.1
40.7
-
61.4
Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation
Logistic Regression
56.1
1.1
93.7
27.2
41.1
54.2
Explainable Prediction of Medical Codes from Clinical Text
MultiResCNN
91.0
8.5
98.6
55.2
58.4
73.4
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network
LAAT
91.9
9.9
98.8
57.5
59.1
73.8
A Label Attention Model for ICD Coding from Clinical Text
MSATT-KG
91.0
9.0
99.2
55.3
58.1
72.8
-
-
RAC
94.8
12.7
99.2
58.6
60.1
75.4
Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines
-
SVM
-
-
-
44.1
-
-
Explainable Prediction of Medical Codes from Clinical Text
CNN
80.6
4.2
96.9
41.9
44.3
58.1
Explainable Prediction of Medical Codes from Clinical Text
CAML
89.5
8.8
98.6
53.9
56.1
70.9
Explainable Prediction of Medical Codes from Clinical Text
MSMN+KEPTLongformer
-
11.8
-
59.9
61.5
77.1
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding
Discnet+RE
95.6
14.0
99.3
58.8
61.4
76.5
Automatic ICD Coding Exploiting Discourse Structure and Reconciled Code Embeddings
JointLAAT
92.1
10.7
98.8
57.5
59.0
73.5
A Label Attention Model for ICD Coding from Clinical Text
PLM-CA
-
24.7
-
60.0
-
-
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records
EffectiveCAN
91.5
10.6
98.8
58.9
60.6
75.8
Effective Convolutional Attention Network for Multi-label Clinical Document Classification
-
0 of 17 row(s) selected.
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