Id |
Subject |
Object |
Predicate |
Lexical cue |
T64 |
0-63 |
Sentence |
denotes |
Multi-modal data from multiple sources were used in this study. |
T65 |
64-211 |
Sentence |
denotes |
X-data, CT-data, and clinical data used in our research were collected from four public data sets and one frontline hospital data (Youan hospital). |
T66 |
212-378 |
Sentence |
denotes |
Each data set was divided into two parts: train-val part and test part using a train-test-split function (TTSF) of the scikit-learn library which is shown in Table 1. |
T67 |
379-496 |
Sentence |
denotes |
The details of the multi-modal data types are described in the “Methods” section (see “Data sets splitting” section). |
T68 |
497-614 |
Sentence |
denotes |
Table 1 Number of cases from four public data sets and the Youan hospital (X-data, CT-data, clinical indicator data). |
T69 |
615-649 |
Sentence |
denotes |
Study X-data CT-data Clinical data |
T70 |
650-700 |
Sentence |
denotes |
Train + Val Test Train + Val Test Train + Val Test |
T71 |
701-744 |
Sentence |
denotes |
*Normal (RSNA + LUNA16) 5000 100 100 20 – – |
T72 |
745-787 |
Sentence |
denotes |
Pneumonia (RSNA + ICNP) 3000 100 83 20 – – |
T73 |
788-817 |
Sentence |
denotes |
COVID-19 (CCD) 150 62 – – – – |
T74 |
818-861 |
Sentence |
denotes |
Influenza (Youan Hospital) 100 45 35 15 – – |
T75 |
862-904 |
Sentence |
denotes |
*Normal (Youan Hospital) 478 25 139 20 – – |
T76 |
905-949 |
Sentence |
denotes |
Pneumonia (Youan Hospital) 380 55 180 35 – – |
T77 |
950-993 |
Sentence |
denotes |
COVID-19 (Youan Hospital) 35 10 75 20 75 20 |
T78 |
994-1022 |
Sentence |
denotes |
Total 9143 397 612 130 75 20 |
T79 |
1023-1210 |
Sentence |
denotes |
The term *Normal in this work means the cases where the lungs are not manifest evidence of COVID-19, influenza, or pneumonia on imaging and the RT-PCR testing of the COVID-19 is negative. |