Estimating the Health-Related Quality of Life of Kidney Stone Patients: Initial Results from the Wisconsin Stone Quality of Life Machine Learning Algorithm (WISQOL-MLA)

Author:

Nguyen David-Dan12ORCID,Luo Jack W.1,Lu Xing Han3,Bechis Seth K.4,Sur Roger L.4,Nakada Stephen Y.5,Antonelli Jodi A.6,Streeper Necole M.7,Sivalingam Sri8,Viprakasit Davis P.9,Averch Timothy D.10,Landman Jaime11,Chi Thomas12,Pais Vernon M.13,Chew Ben H.14ORCID,Bird Vincent G.15,Andonian Sero16,Canvasser Noah E.17,Harper Jonathan D.18,Penniston Kristina L.5,Bhojani Naeem19ORCID

Affiliation:

1. Faculty of Medicine; McGill University; Montreal QC Canada

2. Department of Health Policy and Management; Harvard T.H. Chan School of Public Health; Boston MA USA

3. School of Computer Science; McGill University; Montreal QC Canada

4. University of California San Diego School of Medicine; San Diego CA USA

5. School of Medicine and Public Health; Department of Urology; University of Wisconsin-Madison; Madison WI USA

6. University of Texas Southwestern Medical Center; Dallas TX USA

7. Pennsylvania State University College of Medicine; Hershey PA USA

8. Cleveland Clinic; Glickman Urological and Kidney Institute; Cleveland OH USA

9. University of North Carolina School of Medicine; Chapel Hill NC USA

10. Palmetto Health USC Medical Group; Columbia SC USA

11. University of California Irvine School of Medicine; Orange CA USA

12. University of California San Francisco School of Medicine; San Francisco CA USA

13. Dartmouth Hitchcock Medical Center; Lebanon NH USA

14. University of British; Columbia Department of Urologic Sciences; Vancouver BC USA

15. University of Florida College of Medicine; Gainesville FL USA

16. McGill University Health Center; Montreal QC USA

17. University of California Davis School of Medicine; Sacramento CA USA

18. University of Washington; Seattle WA USA

19. Division of Urology; Centre hospitalier de l’Université de Montréal (CHUM), Université de Montréal; Montreal QC Canada

Publisher

Wiley

Subject

Urology

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