Table 4.
Author | Dataset | Algorithm/Model | Accuracy (in %) |
---|---|---|---|
Wang et al. [26] | Mayo Clinic smoking | CNN | 92 |
Wang et al. [26] | Proximal femur (hip) fracture | CNN | 97 |
Wang et al. [26] | i2b2 2006 smoking | Rule-based NLP | 89 |
Nguyen et al. [28] | Language Resources and Evaluation Conference (LREC) | Back off | 66.39 |
Hughes et al. [27] | Merck Manual | CNN + Word2vec | 68 |
Proposed method | Hospital records | KMP | 97.4 |
Wang et al. stated that CNN gave the best accuracy for text classification. Deep learning models are seen to be commonly used for this purpose. It is observed that the proposed method gave the highest accuracy