Research map: Hearing is caring: Machine learning modelling for the prediction of pediatric unmet hearing health needs

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  1. XGBoost · Tianqi Chen · 2016 · 53618 citations · Cited by this paper
  2. Transoral excision of pediatric submandibular gland pleomorphic adenoma: A single-center case series · 2026 · Related
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  19. Unmet Need for Routine and Specialty Care: Data From the National Survey of Children With Special Health Care Needs · Michelle L. Mayer · 2004 · 256 citations · Cited by this paper
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  21. Disparities in access to pediatric hearing health care · Matthew L. Bush · 2017 · 118 citations · Cited by this paper
  22. Diagnosed Developmental Disabilities in Children Aged 3–17 Years: United States, 2019–2021 · Benjamin Zablotsky · 2023 · 94 citations · Cited by this paper
  23. Do Children in Rural Areas Still Have Different Access to Health Care? Results from a Statewide Survey of Oregon's Food Stamp Population · Jennifer E. DeVoe · 2008 · 81 citations · Cited by this paper
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  25. A comparison of asthma prevalence and morbidity between rural and urban schoolchildren in Arkansas · Robbie Pesek · 2010 · 68 citations · Cited by this paper
  26. Barriers to Equity in Pediatric Hearing Health Care: A Review of the Evidence · Sarah E. Kingsbury · 2022 · 37 citations · Cited by this paper
  27. Machine Learning Algorithms Versus Classical Regression Models in Pre-Eclampsia Prediction: A Systematic Review · Sofonyas Abebaw Tiruneh · 2024 · 37 citations · Cited by this paper
  28. Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU · Andrea N. Sikora · 2023 · 30 citations · Cited by this paper
  29. Update: Health Insurance and Utilization of Care Among Rural Adolescents · Janice C. Probst · 2005 · 29 citations · Cited by this paper
  30. Loss to Follow-Up After Newborn Hearing Screening: Analysis of Risk Factors at a Massachusetts Urban Safety-Net Hospital · Alina Razak · 2020 · 23 citations · Cited by this paper
  31. Machine Learning Models Can Predict Tinnitus and Noise-Induced Hearing Loss · Zahra Jafari · 2025 · 14 citations · Cited by this paper
  32. Barriers to Receiving Necessary Hearing Care Among US Children · Brooke M. Su‐Velez · 2021 · 11 citations · Cited by this paper
  33. Foregone Preventive Care and Unmet Mental Healthcare Needs Among U.S. Youth · Anthony L. Bui · 2025 · 7 citations · Cited by this paper
  34. Predicting Unmet Healthcare Needs in Post-Disaster: A Machine Learning Approach · Hyun Jin Han · 2023 · 6 citations · Cited by this paper
  35. Predicting Sudden Sensorineural Hearing Loss Recovery with Patient-Personalized Seigel’s Criteria Using Machine Learning · Sanghyun Shon · 2024 · 3 citations · Cited by this paper
  36. Machine learning approach for unmet medical needs among middle-aged adults in South Korea: a cross-sectional study · Jeewuan Kim · 2025 · 1 citation · Cited by this paper

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