Model klasifikasi teks klinis multi-task berbasis Medical-IndoBERT (Domain-Adaptive Pretrained) yang disempurnakan melalui Supervised Fine-Tuning (SFT) dengan arsitektur Dual-Head: 1. Head 1 (ICD-10): Klasifikasi Diagnosis Klinis Primer (WHO ICD-10). 2. Head 2 (INA-CBGs): Prediksi Kelompok Tarif Casemix Klaim (Kemenkes RI / UNU-IIGH Casemix). Senior atau peneliti dapat langsung menguji model ini menggunakan kode berikut: Dataset dan bobot dikembangkan sesuai regulasi perlindungan data medis UU PDP No. 27/2022. Rekam Medis (Nomor Rekam Medis, No. SEP, Nama Pasien) telah dideidentifikasi dan disimpan di repositori privat terpisah.
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MUHAMMAD DHIAUDDIN
Dragneva
AI & Data Enthusiast
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Published tasks: Text classification.
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