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# MIMIC-Medical-Report Model
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## Overview
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This project presents a fine-tuned model based on Microsoft's PHI-2, trained on the MIMIC dataset using Python and PyTorch. Leveraging Hugging Face's Transformers library, this model significantly enhances AI's capacity to extract critical medical insights, improving diagnostic accuracy in healthcare.
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## Features
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- **Model Architecture**: Fine-tuned PHI-2 model using Transformer-based architecture
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- **Dataset**: MIMIC medical dataset, preprocessed to ensure high data integrity
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- **Purpose**: Assists in generating detailed medical reports, extracting key insights to support clinical decisions
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