singhankit16/ICD-10-LLM-generated-Synthetic-Circulatory-System-I00-I99

MedGemma ICD-10 Clinical Notes Dataset — Circulatory System

Synthetic clinical notes generated by MedGemma-4B-IT for fine-tuning ICD-10-CM diagnosis code prediction models. Focused on Chapter 9: Diseases of the Circulatory System (I00-I99).

Dataset Summary

Each example is a realistic clinical note paired with its ICD-10-CM diagnosis code, formatted as a chat conversation for instruction fine-tuning.

How It Was Generated

Clinical notes were generated using MedGemma-4B-IT (Google's medical LLM) loaded locally with 4-bit NF4 quantization — a form of self-distillation. For each of the 1,255 billable I-codes in ICD-10-CM 2026, the model generated 5 clinical notes with:

• —10 prompt templates — varying documentation styles (SOAP notes, H&P, progress notes, consultation reports, brief assessments)
• —Randomized demographics — patient ages 18-89, male/female
• —Weighted clinical settings — cardiology outpatient clinic, emergency department, cardiac catheterization lab, inpatient cardiac unit, primary care office, vascular surgery clinic, cardiac rehabilitation center
• —No data leakage — the model was explicitly instructed to never mention ICD codes or state the exact diagnosis name, only describe the clinical presentation

Generation took ~80 hours on a single NVIDIA RTX 5070 (12GB VRAM).

Data Format

Each record contains:

{
  "messages": [
    {
      "role": "user",
      "content": "Given the following clinical note, predict the ICD-10-CM diagnosis code:\n\n<clinical note text>"
    },
    {
      "role": "assistant",
      "content": "ICD-10-CM Code: I25.10\nDiagnosis: Atherosclerotic heart disease of native coronary artery without angina pectoris\nShort: Athscl heart disease of native cor art w/o ang pctrs"
    }
  ],
  "code": "I2510",
  "category": "Circulatory System",
  "clinical_note": "<raw clinical note text>"
}

Fields

Clinical Note Statistics

ICD-10 Coverage

• —Chapter: 9 — Diseases of the Circulatory System
• —Code range: I00–I99
• —Total billable codes: 1,255
• —Source: CMS ICD-10-CM 2026 code descriptions (icd10cm_order_2026.txt)

Covers conditions including:

• —Acute rheumatic fever (I00-I02)
• —Chronic rheumatic heart diseases (I05-I09)
• —Hypertensive diseases (I10-I16)
• —Ischemic heart diseases (I20-I25)
• —Pulmonary heart disease (I26-I28)
• —Other forms of heart disease (I30-I52)
• —Cerebrovascular diseases (I60-I69)
• —Diseases of arteries, arterioles & capillaries (I70-I79)
• —Diseases of veins & lymphatics (I80-I89)
• —Other circulatory disorders (I95-I99)

Intended Use

• —Fine-tuning medical LLMs for automated ICD-10 diagnosis coding
• —Benchmarking clinical NLP models on structured code prediction
• —Research into synthetic medical data generation and self-distillation

Limitations

• —Synthetic data — generated by an LLM, not sourced from real clinical records
• —Single chapter — covers only Circulatory System (I00-I99), not the full ICD-10-CM
• —Single diagnosis — each note maps to one code; real encounters often have multiple diagnoses
• —No validation by medical professionals — notes may contain clinical inaccuracies

Loading the Dataset

from datasets import load_dataset

# Load from local directory
dataset = load_dataset("json", data_files="train_data.json")

# Or load from Hugging Face Hub (after upload)
# dataset = load_dataset("YOUR_USERNAME/medgemma-icd10-circulatory")

Citation

If you use this dataset, please cite the repository:

@misc{medgemma_icd10_finetuning,
  title={Fine-Tuning MedGemma-4B for ICD-10 Diagnosis Coding},
  author={singhak-abbvie},
  year={2026}
}

Disclaimer

This dataset is for research and educational purposes only. It is not intended for clinical use without proper validation. Always consult certified medical coders and healthcare professionals for production ICD-10 coding.