Research map: Behavioral and Engagement Predictors of Arthroplasty Clinic No-Shows: A Calibrated Machine Learning Analysis

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  1. A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation · Mary E. Charlson · 1987 · 50679 citations · Cited by this paper
  2. A Carbon Monoxide Breathalyzer is Effective at Identifying Smokers Before Total Joint Arthroplasty · 2026 · Related
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  10. Survival in the Third Decade of Uncemented Total Hip Arthroplasty With Small-Diameter Metal-on-Metal Versus Ceramic-on-Conventional Polyethylene Bearings · 2026 · Related
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  14. Total Hip Arthroplasty for Giant Hip Synovial Chondromatosis With Acetabular Involvement Complicated by Osteoarthritis: A 12-Year Follow-Up of a Case and Literature Review · 2026 · Related
  15. Socioeconomic Disparities In Health: Pathways And Policies · Nancy E. Adler · 2002 · 2129 citations · Cited by this paper
  16. Complications Following Aseptic Knee Revision Based on Tourniquet Use · 2026 · Related
  17. Traveling Towards Disease: Transportation Barriers to Health Care Access · Samina T. Syed · 2013 · 2025 citations · Cited by this paper
  18. Patellar Reconstruction During Total Knee Arthroplasty for Previous Patellectomy · 2026 · Related
  19. Ensuring Fairness in Machine Learning to Advance Health Equity · Alvin Rajkomar · 2018 · 1341 citations · Cited by this paper
  20. Optimizing Hip and Knee Arthroplasty Clinic Flow: A Prospective Evaluation of Artificial Intelligence Scribe Technology · 2026 · Related
  21. Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations · Jonathan H. Chen · 2017 · 1209 citations · Cited by this paper
  22. Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review · Benjamin Alan Goldstein · 2016 · 995 citations · Cited by this paper
  23. Good intentions are not enough: how informatics interventions can worsen inequality · Tiffany Christine Veinot · 2018 · 742 citations · Cited by this paper
  24. Ethical Machine Learning in Healthcare · Irene Y. Chen · 2021 · 550 citations · Cited by this paper
  25. No-shows in appointment scheduling – a systematic literature review · Leila Figueiredo Dantas · 2018 · 509 citations · Cited by this paper
  26. A Systematic Review of Interventions on Patients’ Social and Economic Needs · Laura M. Gottlieb · 2017 · 454 citations · Cited by this paper
  27. Prevalence, predictors and economic consequences of no-shows · Parviz Kheirkhah · 2015 · 297 citations · Cited by this paper
  28. Patient-Centered Community Health Worker Intervention to Improve Posthospital Outcomes · Shreya Kangovi · 2014 · 288 citations · Cited by this paper
  29. Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities · Jessica K. Paulus · 2020 · 287 citations · Cited by this paper
  30. Use of telephone and SMS reminders to improve attendance at hospital appointments: a systematic review · Per Erlend Hasvold · 2011 · 268 citations · Cited by this paper
  31. No-Show to Primary Care Appointments · Emma Kaplan‐Lewis · 2013 · 254 citations · Cited by this paper
  32. Addressing Unmet Basic Resource Needs as Part of Chronic Cardiometabolic Disease Management · Seth A. Berkowitz · 2016 · 240 citations · Cited by this paper
  33. The Effectiveness of Outpatient Appointment Reminder Systems in Reducing No-Show Rates · Amay Parikh · 2010 · 235 citations · Cited by this paper
  34. Morbidity, mortality and missed appointments in healthcare: a national retrospective data linkage study · Ross McQueenie · 2019 · 214 citations · Cited by this paper
  35. Utilization of Social Determinants of Health ICD-10 Z-Codes Among Hospitalized Patients in the United States, 2016–2017 · Hannah P. Truong · 2020 · 204 citations · Cited by this paper
  36. Using no-show modeling to improve clinic performance · Joanne Daggy · 2010 · 196 citations · Cited by this paper
  37. Appointment Adherence and Disparities in Outcomes Among Patients with Diabetes · Joel M. Schectman · 2008 · 153 citations · Cited by this paper
  38. Missed Appointments · Ronald C. Samuels · 2015 · 152 citations · Cited by this paper
  39. Predicting No-Shows in Radiology Using Regression Modeling of Data Available in the Electronic Medical Record · Harlan Benjamin Harvey · 2017 · 116 citations · Cited by this paper

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