Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44310, first published .
Normal Workflow and Key Strategies for Data Cleaning Toward Real-World Data: Viewpoint

Normal Workflow and Key Strategies for Data Cleaning Toward Real-World Data: Viewpoint

Normal Workflow and Key Strategies for Data Cleaning Toward Real-World Data: Viewpoint

Journals

  1. Wen Q, Yang B, Wang X, Xia L, Song L. Characteristics analysis of Internet pharmacy consultation services for children in southwest China during the post-epidemic era: A cross-sectional study. International Journal of Medical Informatics 2024;186:105424 View
  2. Pashangpour S, Nejat G. The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for Healthcare. Robotics 2024;13(8):112 View
  3. Kanyongo W, Ezugwu A, Moyo T, Dombeu J. Data Wrangling and Generation for Machine Learning Models in Medication Adherence Analytics: A practical Standpoint using Patient-Level and Medical Claims Data. Data Intelligence 2024 View
  4. Bunnell A, Hung K, Shepherd J, Sadowski P, Bhowmik A. BUSClean: Open-source software for breast ultrasound image pre-processing and knowledge extraction for medical AI. PLOS ONE 2024;19(12):e0315434 View
  5. de Kok J, van Bussel B, van der Horst I, van Rosmalen F. From introducing Table 0 to forgetting Figure 1: it is time for a reporting guideline for publishing with real-world clinical data. Author's reply. Journal of Clinical Epidemiology 2025;179:111656 View
  6. Wong E, Bermudez-Cañete A, Campbell M, Rhew D. Bridging the Digital Divide: A Practical Roadmap for Deploying Medical Artificial Intelligence Technologies in Low-Resource Settings. Population Health Management 2025;28(2):105 View
  7. Skosareva V, Fimbinger E, Egger M, Flachberger H. Contributions to Data Collection and Data Processing for Energy- and Product-optimised Operation in Mobile Crushing. BHM Berg- und Hüttenmännische Monatshefte 2025;170(6):344 View
  8. Chitengu R, Verkijika S, Mamabolo K. Forecasting Civil Unrest in South Africa Using Social Media Data: A Hybrid Machine Learning Approach. Social Science Computer Review 2025 View

Conference Proceedings

  1. Zhang G. 2024 5th International Conference on Artificial Intelligence and Electromechanical Automation (AIEA). Integrating DenseNet and RDN for Enhanced Image Colorization: Development of a Novel CNN Architecture View