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

Journals

  1. Chou P, Chien T, Yang T, Yeh Y, Chou W, Yeh C. Predicting Active NBA Players Most Likely to Be Inducted into the Basketball Hall of Famers Using Artificial Neural Networks in Microsoft Excel: Development and Usability Study. International Journal of Environmental Research and Public Health 2021;18(8):4256 View
  2. Tey S, Liu C, Chien T, Hsu C, Chan K, Chen C, Cheng T, Wu W. Predicting the 14-Day Hospital Readmission of Patients with Pneumonia Using Artificial Neural Networks (ANN). International Journal of Environmental Research and Public Health 2021;18(10):5110 View
  3. Karlin E, Lin C, Meftah M, Slover J, Schwarzkopf R. The Impact of Machine Learning on Total Joint Arthroplasty Patient Outcomes: A Systemic Review. The Journal of Arthroplasty 2023;38(10):2085 View
  4. Polce E, Kunze K, Dooley M, Piuzzi N, Boettner F, Sculco P. Efficacy and Applications of Artificial Intelligence and Machine Learning Analyses in Total Joint Arthroplasty. Journal of Bone and Joint Surgery 2022;104(9):821 View
  5. von Gerich H, Moen H, Block L, Chu C, DeForest H, Hobensack M, Michalowski M, Mitchell J, Nibber R, Olalia M, Pruinelli L, Ronquillo C, Topaz M, Peltonen L. Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence. International Journal of Nursing Studies 2022;127:104153 View
  6. Kim H, Park Y, Park Y, Choi E, Kim S, You H, Bae Y. Identifying Alcohol-Related Information From Unstructured Bilingual Clinical Notes With Multilingual Transformers. IEEE Access 2023;11:16066 View
  7. Hu W, Wang S. Predicting Glaucoma Progression Requiring Surgery Using Clinical Free-Text Notes and Transfer Learning With Transformers. Translational Vision Science & Technology 2022;11(3):37 View
  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 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 View