Feed-forward NN

Reported on 6 benchmarks across 3 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology4 results

Multi-Label Text ClassificationonMIMIC-III
Precision· 2018-02-07
0.249
SOTA
An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes arXiv:1802.02311
Multi-Label Text ClassificationonMIMIC-III
Recall· 2018-02-07
0.1138
SOTA
An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes arXiv:1802.02311
ClassificationonMIMIC-III
Precision· 2018-02-07
0.249
SOTA
An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes arXiv:1802.02311
ClassificationonMIMIC-III
Recall· 2018-02-07
0.1138
SOTA
An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes arXiv:1802.02311

Natural Language Processing2 results

Text ClassificationonMIMIC-III
Precision· 2018-02-07
0.249
SOTA
An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes arXiv:1802.02311
Text ClassificationonMIMIC-III
Recall· 2018-02-07
0.1138
SOTA
An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes arXiv:1802.02311