An Improved Double Channel Long Short-Term Memory Model for Medical Text Classification

Table 4

The results of the experiment.

Model	Dataset	Accuracy	Precision	Recall	F1-score
CNN	cMedQA	0.9570	0.8739	0.8803	0.8760
	Sentiment140	0.8831	0.8189	0.8188	0.8188
LSTM	cMedQA	0.9605	0.8857	0.8851	0.8852
	Sentiment140	0.9083	0.8255	0.8267	0.8256
CNN-LSTM	cMedQA	0.9615	0.8892	0.8898	0.8877
	Sentiment140	0.9010	0.8272	0.8271	0.8271
GRU	cMedQA	0.9611	0.8896	0.8795	0.8816
	Sentiment140	0.9044	0.8533	0.8532	0.8532
DC-LSTM	cMedQA	0.9729	0.9184	0.9183	0.9192
	Sentiment140	0.9112	0.8703	0.8703	0.8703