This paper is in the following e-collection/theme issue:

Machine Learning (1501) Clinical Informatics (1050) Clinical Information and Decision Making (1434) Cost-Effectiveness and Economics (259) Orthopedics (67) Natural Language Processing (706)

Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19761, first published .
Predicting Unplanned Readmissions Following a Hip or Knee Arthroplasty: Retrospective Observational Study

Predicting Unplanned Readmissions Following a Hip or Knee Arthroplasty: Retrospective Observational Study

Predicting Unplanned Readmissions Following a Hip or Knee Arthroplasty: Retrospective Observational Study

Authors of this article:

Ramin Mohammadi1 Author Orcid Image ;   Sarthak Jain1 Author Orcid Image ;   Amir T Namin1 Author Orcid Image ;   Melissa Scholem Heller1 Author Orcid Image ;   Ramya Palacholla2 Author Orcid Image ;   Sagar Kamarthi1 Author Orcid Image ;   Byron Wallace1 Author Orcid Image
Article Authors Cited by (16) Tweetations (6) Metrics

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  8. Polisetty T, Jain S, Pang M, Karnuta J, Vigdorchik J, Nawabi D, Wyles C, Ramkumar P. Concerns surrounding application of artificial intelligence in hip and knee arthroplasty. The Bone & Joint Journal 2022;104-B(12):1292 View
  9. Chenais G, Gil-Jardiné C, Touchais H, Avalos Fernandez M, Contrand B, Tellier E, Combes X, Bourdois L, Revel P, Lagarde E. Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study. JMIR AI 2023;2:e40843 View
  10. Ru B, Tan X, Liu Y, Kannapur K, Ramanan D, Kessler G, Lautsch D, Fonarow G. Comparison of Machine Learning Algorithms for Predicting Hospital Readmissions and Worsening Heart Failure Events in Patients With Heart Failure With Reduced Ejection Fraction: Modeling Study. JMIR Formative Research 2023;7:e41775 View
  11. Michelsen C, Jørgensen C, Heltberg M, Jensen M, Lucchetti A, Petersen P, Petersen T, Kehlet H, Madsen F, Hansen T, Gromov K, Jakobsen T, Varnum C, Overgaard S, Rathsach M, Hansen L. Machine-learning vs. logistic regression for preoperative prediction of medical morbidity after fast-track hip and knee arthroplasty—a comparative study. BMC Anesthesiology 2023;23(1) View
  12. Chen T, Shimizu M, Buddhiraju A, Seo H, Subih M, Chen S, Kwon Y. Predicting 30-day unplanned hospital readmission after revision total knee arthroplasty: machine learning model analysis of a national patient cohort. Medical & Biological Engineering & Computing 2024;62(7):2073 View
  13. Buddhiraju A, Shimizu M, Seo H, Chen T, RezazadehSaatlou M, Huang Z, Kwon Y. Generalizability of machine learning models predicting 30-day unplanned readmission after primary total knee arthroplasty using a nationally representative database. Medical & Biological Engineering & Computing 2024;62(8):2333 View
  14. Fares M, Liu H, da Silva Etges A, Zhang B, Warner J, Olson J, Fedorka C, Khan A, Best M, Kirsch J, Simon J, Sanders B, Costouros J, Zhang X, Jones P, Haas D, Abboud J. Utility of Machine Learning, Natural Language Processing, and Artificial Intelligence in Predicting Hospital Readmissions After Orthopaedic Surgery. JBJS Reviews 2024;12(8) View
  15. Mittal A, Buddhiraju A, Abdullah Subih M, Lin-Wei Chen T, Shimizu M, Hojoon Seo H, Rezazadehsaatlou M, Xiao P, Kwon Y. Predicting prolonged length of stay following revision total knee arthroplasty: A national database analysis using machine learning models. International Journal of Medical Informatics 2024;192:105634 View
  16. Georgiakakis E, Khan A, Logishetty K, Sarraf K. Artificial intelligence in planned orthopaedic care. SICOT-J 2024;10:49 View