Fig. 1

Trends for research aiming at neuropsychiatric diagnostic prediction (classification) during the recent three decades (1990–2020). A illustrates the growth of the number of studies concerning neuropsychiatric classification from 1995 to 2020. B shows a prediction of the number of relevant studies for future decades based on both the autoregressive integrated moving average (ARIMA) model and the long short-term memory (LSTM) model. The number of relevant studies in 2021 was used as a testing set in the real world. We trained these models with data from 1990 to 2020 and tested them by using real data in 2021 to show the well generalizability. The models predicted the number of relevant studies would be increased to 114.13, and we found that the actual number of these publications in 2021 was 119. C presents trends for each psychiatric category during 1990–2021 (June). D shows the frequencies of first-author affiliation for all the included studies. E mapped the number of countries for the first affiliation in these included studies by using R packages “maptools” and “ggplot2”. F illustrates which journals prefer to publish these studies. The top–bottom rank for these journals was determined by the number of these studies adjusted by the total number of publications per year. The length of the bar shows the proportion of one journal including these studies on all the journals