Table 4.
Results of the Western Ontario and McMaster Universities Osteoarthritis Index–based processing approach (n=463) in terms of true positive, false positive, false negative, true negative, and runtime for each model.
| Model | TPa, n (%) | FPb, n (%) | FNc, n (%) | TNd, n (%) | Runtime (s) | ||
| Word_Tokenize (n=463) | |||||||
| BiLSTMe | 252 (54.4) | 24 (5.2) | 22 (4.8) | 165 (35.6) | 359.62 | ||
| GRUf | 256 (55.3) | 36 (7.8) | 18 (3.9) | 153 (33.0) | 294.49 | ||
| CNNg | 254 (54.9) | 25 (5.4) | 20 (4.3) | 164 (35.4) | 128.76 | ||
| DeepCut (n=463) | |||||||
| BiLSTM | 251 (54.2) | 25 (5.4) | 23 (5.0) | 164 (35.4) | 429.84 | ||
| GRU | 250 (54.0) | 27 (5.8) | 24 (5.2) | 162 (35.0) | 367.58 | ||
| CNN | 258 (55.7) | 36 (7.8) | 16 (3.5) | 153 (33.0) | 129.69 | ||
| AttaCut (n=463) | |||||||
| BiLSTM | 257 (55.5) | 24 (5.2) | 17 (3.7) | 165 (35.6) | 397.51 | ||
| GRU | 254 (54.9) | 31 (6.7) | 20 (4.3) | 158 (34.1) | 343.44 | ||
| CNN | 251 (54.2) | 22 (4.8) | 23 (5.0) | 167 (36.1) | 117.44 | ||
aTP: true positive.
bFP: false positive.
cFN: false negative.
dTN: true negative.
eBiLSTM: bidirectional long short-term memory.
fGRU: gated recurrent unit.
gCNN: convolutional neural network.