Machine learning can predict disease manifestations and outcomes in lymphangioleiomyomatosis

Conclusions
Machine learning has identified clinically relevant clusters associated with complications and outcome. Assigning individuals to clusters could improve decision making and prognostic information for patients.

Source: European Respiratory Journal - June 4, 2021 Category: Respiratory Medicine Authors: Chernbumroong, S., Johnson, J., Gupta, N., Miller, S., McCormack, F. X., Garibaldi, J. M., Johnson, S. R. Tags: Interstitial and orphan lung disease Original Articles: Rare lung diseases Source Type: research