mmcdermott / MEDS-DEV

The MEDS Decentralized Extensible Validation (MEDS-DEV) Benchmark: Establishing Reproducibility and Comparability in ML for Health
MIT License
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Added 16 different diagnosis prediction tasks for mimic-iv #7

Closed Jwoo5 closed 3 months ago

Jwoo5 commented 4 months ago

*Fixed some typo errors from the previous PR, and reopened it

I added 16 different diagnosis prediction tasks for mimic-iv where each high-level diagnosis label is defined by a set of ICD codes using multi-level CCS tools.

Each of these tasks predicts whether a patient will be assigned corresponding ICD codes at the time of hospital discharge, given the data from the first 24 hours of hospital admission. I included only the patients whose hospital stay is at least 24 hours for these tasks.

There are so many predicates defined in each config file, which may need to discuss further regarding it.

Summary by CodeRabbit

coderabbitai[bot] commented 4 months ago

Walkthrough

The recent changes enhance the configurations for extracting and analyzing medical data related to various diseases based on ICD codes from the first 24 hours of patient admissions. These updates streamline mapping processes, clarify hospital admission and discharge codes, and establish structured predicates for improved data analysis accuracy, aiding in predictions for hospital discharge coding.

Changes

Files Change Summary
tasks/MIMIC-IV/.../first_24h.yaml (diagnosis/complications_of_pregnancy, congenital_anomalies, diseases_of_the_blood, diseases_of_the_circulatory_system, diseases_of_the_digestive_system, diseases_of_the_genitourinary_system, diseases_of_the_respiratory_system, diseases_of_the_skin_and_subcutaneous_tissue, endocrine_nutritional_and_metabolic_diseases_and_immunity_disorders, infectious_and_parasitic_diseases) Updated configurations include mappings from ICD9CM to CCS Level 1 labels, improved predicates for hospital admissions and discharges, and defined data extraction windows. Specific predicate expressions were also introduced for various disease categories.

Sequence Diagram(s)

sequenceDiagram
    participant Patient
    participant Hospital
    participant DataAnalyzer
    participant DischargeCoder

    Patient->>Hospital: Admit for treatment
    Hospital->>DataAnalyzer: Collect data (first 24 hours)
    DataAnalyzer->>DischargeCoder: Predict ICD codes
    DischargeCoder->>Hospital: Assign codes at discharge
    Hospital->>Patient: Discharge with ICD codes

Poem

πŸ‡ In fields of health where data's bright,
We hop and dance in sheer delight!
With codes and charts, we play our part,
Predicting outcomes with all our heart.
A fluffy cheer for changes made,
Hop on, dear friends, let’s not be swayed! 🌼


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mmcdermott commented 3 months ago

Let's wait until we have a revised ACES that incorporates https://github.com/justin13601/ACES/issues/90. Once that is in I will update this PR to simplify the configs.

mmcdermott commented 3 months ago

Can you update this to use the regex and/or any syntax that ACES now supports? @justin13601 can help clarify syntax as needed @Jwoo5

Jwoo5 commented 3 months ago

Sure, I will update this after the ML4H deadline as this task seems not that urgent at this moment.

mmcdermott commented 3 months ago

sounds good @Jwoo5, thanks! Note there may be some other changes to organization and such before then in the repo, but I think it won't be a big issue. For cleanliness of our github repo, I'm going to close this PR for now and we can re-open and update it when we're ready to merge it in. Thanks!