Abstract
The big data analytics open a promising path to personalized psychiatry. Along with the opportunities are some unprecedented challenges. In this chapter, we will discuss some of these challenges that we are facing in the field of big data analytics in psychiatry. For example, we are still lacking data standardization in diagnoses, variables and protocols, and we also have limitations in applications of machine learning techniques. However, the field of big data analytics in psychiatry is rapid developing, and we expect to overcome these challenges with the joint force of researchers in related fields in the near future.
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Cao, B., Reilly, J. (2019). Major Challenges and Limitations of Big Data Analytics. In: Passos, I., Mwangi, B., Kapczinski, F. (eds) Personalized Psychiatry. Springer, Cham. https://doi.org/10.1007/978-3-030-03553-2_2
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