Research map: Continuous imputation of blood gas and metabolic panel laboratory values in the intensive care unit using machine learning

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Papers in this map

  1. MIMIC-IV, a freely accessible electronic health record dataset · Alistair E. W. Johnson · 2023 · 3332 citations · Cited by this paper
  2. Optic nerve sheath diameter as a real-time biomarker for epidural blood patch efficacy after post-dural puncture headache: a preliminary report · 2026 · Related
  3. The prevention and handling of the missing data · Hyun Kang · 2013 · 1799 citations · Cited by this paper
  4. Vital signs during complication-free recovery after major surgery: a retrospective analysis · 2026 · Related
  5. A survey on missing data in machine learning · Tlamelo Emmanuel · 2021 · 1045 citations · Cited by this paper
  6. Clinical validation of video-based vital sign monitoring in the intensive care unit: a prospective cohort study · 2026 · Related
  7. The Landscape of Inappropriate Laboratory Testing: A 15-Year Meta-Analysis · Ming Zhi · 2013 · 544 citations · Cited by this paper
  8. The Anesthesia Preparedeness Clinic (APC) triage score tool: an integrated electronic health record tool for improving resource allocation for preoperative care clinics · 2026 · Related
  9. Comparison of imputation methods for missing laboratory data in medicine · Akbar K. Waljee · 2013 · 518 citations · Cited by this paper
  10. Intraoperative respiratory exchange ratio to predict complications after cardiopulmonary bypass surgery: a retrospective cohort study · 2026 · Related
  11. Severe metabolic or mixed acidemia on intensive care unit admission: incidence, prognosis and administration of buffer therapy. a prospective, multiple-center study · Boris Jung · 2011 · 203 citations · Cited by this paper
  12. Automated estimation of the logistic curve model of cerebral CO2 vasomotor reactivity · 2026 · Related
  13. Overuse of diagnostic testing in healthcare: a systematic review · Joris L. J. M. Müskens · 2021 · 166 citations · Cited by this paper
  14. Integrated haemodynamic monitoring of fluid responsiveness and fluid tolerance in critical care: from physiology to bedside applications · 2026 · Related
  15. Allocating scarce intensive care resources during the COVID-19 pandemic: practical challenges to theoretical frameworks · Alexander Supady · 2021 · 140 citations · Cited by this paper
  16. Admixture of anesthetic drugs in the era of precision monitoring: a dangerous convenience · 2026 · Related
  17. Reducing unnecessary lab testing in the ICU with artificial intelligence · Federico Cismondi · 2012 · 107 citations · Cited by this paper
  18. AI-assisted videolaryngoscopy improves intubation success: results from a randomized simulation trial · 2026 · Related
  19. Reduction in Red Blood Cell Transfusions Using a Bedside Analyzer in Extremely Low Birth Weight Infants · Ashima Madan · 2004 · 94 citations · Cited by this paper
  20. Hemodynamic monitoring: basic principles in operation room and intensive care unit · 2026 · Related
  21. Identify the most appropriate imputation method for handling missing values in clinical structured datasets: a systematic review · Marziyeh Afkanpour · 2024 · 93 citations · Cited by this paper
  22. Association of multiple glycemic parameters at intensive care unit admission with mortality and clinical outcomes in critically ill patients · Priscila Bellaver · 2019 · 75 citations · Cited by this paper
  23. Time to Intubation Is Associated with Outcome in Patients with Community-Acquired Pneumonia · Sami Hraiech · 2013 · 40 citations · Cited by this paper
  24. Optimal timing of initiating continuous renal replacement therapy in septic shock patients with acute kidney injury · Bo Ra Yoon · 2019 · 38 citations · Cited by this paper
  25. Strategies to Reduce Inappropriate Laboratory Blood Test Orders in Intensive Care Are Effective and Safe: A Before-And-After Quality Improvement Study · Jayesh Dhanani · 2018 · 30 citations · Cited by this paper
  26. Frequency of Laboratory Test Utilization in the Intensive Care Unit and Its Implications for Large-Scale Data Collection Efforts · Joseph J. Frassica · 2004 · 26 citations · Cited by this paper
  27. Routine Blood Test Ordering for Patients in Intensive Care · Arthas Flabouris · 2000 · 21 citations · Cited by this paper
  28. Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study · Ahmad Ayad · 2022 · 14 citations · Cited by this paper
  29. Outcome in early vs late intubation among COVID-19 patients with acute respiratory distress syndrome: an updated systematic review and meta-analysis · Denio Adrianus Ridjab · 2022 · 13 citations · Cited by this paper
  30. The “Rainbow” of Extra Blood Tubes—Useful or Wasteful Practice? · Robert M. Humble · 2016 · 11 citations · Cited by this paper
  31. Diagnosis and treatment of nerve injury following venipuncture - A report of two cases - · In Jung Kim · 2021 · 11 citations · Cited by this paper
  32. Early prediction of in-hospital deterioration after emergency department admission using machine learning models · Chi-Yung Cheng · 2026 · 4 citations · Cited by this paper
  33. Anemia as a potent marker of in-hospital mortality in patients admitted to the cardiac intensive care unit: Data from the Critical Care Cardiology Trials Network (CCCTN) Registry · Christine Chow · 2025 · 3 citations · Cited by this paper
  34. How to decrease routine and repetitive blood tests in hospitalized patients · William K. Silverstein · 2024 · 1 citation · Cited by this paper
  35. Electrolyte Imbalance and Its Prognostic Impact on All-Cause Mortality in ICU Patients with Respiratory Failure · Oral Menteş · 2025 · 1 citation · Cited by this paper

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