期刊论文详细信息
BMC Medical Informatics and Decision Making | |
Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach | |
Research | |
Shaina Raza1  Brian Schwartz1  | |
[1] Public Health Ontario (PHO), Toronto, ON, Canada;Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; | |
关键词: Natural language processing; Data cohort; COVID-19; Named entity; Relation extraction; Transfer learning; Artificial intelligence; | |
DOI : 10.1186/s12911-023-02117-3 | |
received in 2022-11-25, accepted in 2023-01-20, 发布年份 2023 | |
来源: Springer | |
【 授权许可】
CC BY
© Crown 2023
【 预 览 】
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MediaObjects/41408_2022_766_MOESM4_ESM.pdf | 169KB | download |
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【 参考文献 】
- [1]
- [2]
- [3]
- [4]
- [5]
- [6]
- [7]
- [8]
- [9]
- [10]
- [11]
- [12]
- [13]
- [14]
- [15]
- [16]
- [17]
- [18]
- [19]
- [20]
- [21]
- [22]
- [23]
- [24]
- [25]
- [26]
- [27]
- [28]
- [29]
- [30]
- [31]
- [32]
- [33]
- [34]
- [35]
- [36]
- [37]
- [38]
- [39]
- [40]
- [41]
- [42]
- [43]
- [44]
- [45]
- [46]
- [47]
- [48]
- [49]
- [50]
- [51]
- [52]
- [53]
- [54]
- [55]
- [56]
- [57]
- [58]
- [59]
- [60]
- [61]
- [62]
- [63]
- [64]
- [65]
- [66]
- [67]
- [68]
- [69]
- [70]
- [71]
- [72]
- [73]
- [74]
- [75]
- [76]
- [77]
- [78]
- [79]
- [80]
- [81]
- [82]
- [83]
- [84]
- [85]
- [86]
- [87]
- [88]