A programmer is preprocessing medical reports using NLP. The dataset contains 8,000 documents. On the first day, 15% are processed. On the second, 20% of the remaining. On the third, 25% of what’s left. On the fourth, 30% of the rest. How many documents remain unprocessed?

Thu, 30 Apr 2026 04:22:25 +0000

Title: Efficient Medical Report Preprocessing with NLP: How Automation Accelerates Analysis of 8,000 Documents In the fast-evolving landscape of healthcare technology, preprocessing medical reports using Natural Language Processing (NLP) is transforming how data is analyzed and leveraged. A recent case study demonstrates the practical application and scalability of NLP-driven workflows—processing a large dataset of 8,000 clinical documents through staged NLP consumption. ### The Preprocessing Journey: Day-by-Day Progress Starting with a comprehensive dataset of 8,000 medical reports, the team employed a strategic incremental approach to NLP processing: