الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Medical Code Prediction On Mimic Iii

المقاييس

Macro-AUC

Macro-F1

Micro-AUC

Micro-F1

Precision@15

Precision@8

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	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	-

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