Multimodal EHR Data Processing Enhancements

[Oufattole]

This pull request implements multimodal data processing capabilities, combining electronic health records (EHR) with text data, while improving the overall data pipeline architecture.

Key Changes

1. Test Data Generation

   • Created multimodal test datasets combining text and EHR data
   • Standardized test data generation using meds-transform runner and aces-cli

2. Data Processing Pipeline

   • Added custom meds-transform stages for tensorizing multimodal data (specifically text and EHR data atm, but the implementation can easily be modified to include other modalities)
   • Implemented efficient storage of tokenized text in safetensor format
   • Integrated multimodal indexing system within nested ragged tensors
     • Each code receives a multimodal_idx
     • Index serves as key in multimodal safetensor for efficient data loading

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Codecov Report

Attention: Patch coverage is 89.60000% with 13 lines in your changes missing coverage. Please review.

Project coverage is 73.28%. Comparing base (de8082e) to head (4182363). Report is 93 commits behind head on dev.

Files with missing lines	Patch %	Lines
src/meds_torch/utils/custom_text_tensorization.py	77.77%	6 Missing :warning:
src/meds_torch/utils/custom_text_normalization.py	84.61%	4 Missing :warning:
src/meds_torch/utils/custom_text_tokenization.py	95.77%	3 Missing :warning:

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Additional details and impacted files

```diff @@ Coverage Diff @@ ## dev #121 +/- ## ========================================== + Coverage 64.80% 73.28% +8.47% ========================================== Files 10 51 +41 Lines 736 2777 +2041 ========================================== + Hits 477 2035 +1558 - Misses 259 742 +483 ```

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