LitCovid-sentences  

PMC:7782580 / 9832-11062 JSONTXT 3 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T63 0-19 Sentence denotes Data set properties
T64 20-83 Sentence denotes Multi-modal data from multiple sources were used in this study.
T65 84-231 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 232-398 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 399-516 Sentence denotes The details of the multi-modal data types are described in the “Methods” section (see “Data sets splitting” section).
T68 517-634 Sentence denotes Table 1 Number of cases from four public data sets and the Youan hospital (X-data, CT-data, clinical indicator data).
T69 635-669 Sentence denotes Study X-data CT-data Clinical data
T70 670-720 Sentence denotes Train + Val Test Train + Val Test Train + Val Test
T71 721-764 Sentence denotes *Normal (RSNA + LUNA16) 5000 100 100 20 – –
T72 765-807 Sentence denotes Pneumonia (RSNA + ICNP) 3000 100 83 20 – –
T73 808-837 Sentence denotes COVID-19 (CCD) 150 62 – – – –
T74 838-881 Sentence denotes Influenza (Youan Hospital) 100 45 35 15 – –
T75 882-924 Sentence denotes *Normal (Youan Hospital) 478 25 139 20 – –
T76 925-969 Sentence denotes Pneumonia (Youan Hospital) 380 55 180 35 – –
T77 970-1013 Sentence denotes COVID-19 (Youan Hospital) 35 10 75 20 75 20
T78 1014-1042 Sentence denotes Total 9143 397 612 130 75 20
T79 1043-1230 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.