Author(s)

Suqi Liu ¹, Yan Tian ¹, Mengjia Wang ¹, Ge An ¹

Affiliation(s)

¹ School of Finance department, ShanDong University of Science and Technology, JiNan, 250031, China

Corresponding Author

Suqi Liu

ABSTRACT

To explore the application of data mining technology in adverse drug reaction (ADR), and provide reference for exploring new methods in the field of ADR monitoring in China. Searching for database related documents such as China Knowledge Network and Data with keywords such as “data mining”, “adverse drug reaction”, “electronic medical record” and “hospital information system”, data mining in spontaneous reporting system and electronic medical treatment the current status, common methods, advantages and disadvantages of ADR monitoring are reviewed. Data mining technology can effectively detect ADR signals in both spontaneous reporting systems and electronic medical records. It has excellent data analysis and ability to discover patterns and will play an important role in the field of ADR monitoring.

KEYWORDS

Big Data, Internet era, Financial Innovation, Transformation of traditional banks

CITE THIS PAPER

Suqi Liu, Yan Tian, Mengjia Wang and Ge An. Internet Finance Innovation and Transformation of Traditional Banks in the Era of Big Data. Financial Engineering and Risk Management (2020) 3: 52-54. DOI: http://dx.doi.org/10.23977/ferm.2020.030106.

REFERENCES

[1] Zhang Ruonan. On Internet Finance Innovation and Transformation of Traditional Banks in the Era of Big Data [J]. Times Finance, 2020 (07): 39-40.
[2] Wu Xiao. Internet finance innovation and traditional bank transformation research based on the era of big data [J]. Times Finance, 2020 (02): 24-25.
[3] Zhang Jie. Internet financial innovation and traditional banking transformation in the era of big data [J]. Public Investment Guide, 2018 (21): 21.
[4] Di Huiya. On Internet Finance Innovation and Transformation of Traditional Banking in the Era of Big Data [J]. China Civil Commercial, 2018 (08): 42.

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