To predict the risk of chronic kidney disease (CKD) using Generalized Additive2 Models (GA2M).

OBJECTIVE: To train and test a model predicting chronic kidney disease (CKD) using the Generalized Additive2 Model (GA2M), and compare it with other models being obtained with traditional or machine learning approaches. MATERIALS: We adopted the Health Search Database (HSD) which is a representative longitudinal database containing electronic healthcare records of approximately 2 million adults. METHODS: We selected all patients aged 15 years or older being active in HSD between January 1, 2018 and December 31, 2020 with no prior diagnosis of CKD. The following models were trained and tested using 20 candidate determinants for incident CKD: logistic regression, Random Forest, Gradient Boosting Machines (GBMs), GAM, and GA2M. Their prediction performances were compared by calculating Area Under Curve (AUC) and Average Precision (AP). RESULTS: Comparing the predictive performances of the 7 models, the AUC and AP for GBM and GA2M showed the highest values which were equal to 88.9%, 88.8% and 21.8%, 21.1%, respectively. These 2 models outperformed the others including logistic regression. In contrast to GBMs, GA2M kept the interpretability of variable combinations, including interactions and nonlinearities assessment. DISCUSSION: Although GA2M is slightly less performant than light GBM, it is not "black-box" algorithm, so being simply interpretable using shape and heatmap functions. This evidence supports the fact machine learning techniques should be adopted in case of complex algorithms such as those predicting the risk of CKD. CONCLUSION: The GA2M was reliably performant in predicting CKD in primary care. A related decision support system might be therefore implemented.

Italy and "the problem of the unconscious": The first Italian translation of a book by C. G. Jung.

Il problema dell'inconscio nella psicologia moderna [The problem of the unconscious in modern psychology], published in 1942, was the first of Jung's books translated into Italian. The original German title was Seelenprobleme der Gegenwart [Soul's problems of the future], a collection of previously-issued short essays. The present paper reconstructs the story of how the book was chosen and eventually published, describing the historical and personal context surrounding the protagonists (translators and publisher) of the volume. The political and cultural situation of the time in Italy is presented: the country was dominated by Catholic culture and Idealism, both obstacles to the spread of psychology. The condition of Italy is compared with that of Germany with respect to the possibility of Freud's and Jung's ideas circulating. Then the paper describes the specific context in which Giovanni Bollea, who had the idea of translating Jung's book in Italy, worked. The role of Bollea's wife, Renata Jesi, is also highlighted. Bollea's relationship with the Einaudi publishing house and with Jung is also explained. Finally, an attempt is made to show the relevance of this episode in the history of Italian culture and its consequences. (PsycInfo Database Record (c) 2021 APA, all rights reserved).