A survey on missing data in machine learning

• Predictive Maintenance with Failing Sensors of Internal Combustion Engines

  2026 Lecture notes in networks and systems conference-paper Engineering Machine Fault Diagnosis Techniques

  0

  citations
• Longitudinal modeling of Post-COVID-19 condition over three years: A machine learning approach using clinical, neuropsychological, and fluid markers

  2026 Scientific Reports article Medicine Long-Term Effects of COVID-19 Open access

  0

  citations
• Addressing Missingness in Predictive Models That Use Electronic Health Record Data

  2025 Annals of Internal Medicine article Computer Science Machine Learning in Healthcare Open access

  7

  citations
• A highly scalable deep learning language model for common risks prediction among psychiatric inpatients

  2025 BMC Medicine article Computer Science Machine Learning in Healthcare Open access

  7

  citations
• Assessing machine learning and data imputation approaches to handle the issue of data sparsity in sports forecasting

  2025 Machine Learning article Economics, Econometrics and Finance Sports Analytics and Performance

  10

  citations
• The Treasure Trove Hidden in Plain Sight: The Utility of GPT-4 in Chest Radiograph Evaluation

  2024 Radiology article Medicine Artificial Intelligence in Healthcare and Education

  8

  citations
• Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight

  2024 Energy and Buildings article Engineering Building Energy and Comfort Optimization Open access

  20

  citations
• Artificial Intelligence as a Diagnostic Tool in Non-Invasive Imaging in the Assessment of Coronary Artery Disease

  2023 Medical Sciences article Medicine Cardiac Imaging and Diagnostics Open access

  20

  citations

8 results