caml-mimic and icd-prediction-mimic
These are complementary approaches to the same problem: CAML uses hierarchical label attention for efficient multilabel classification of diagnostic/procedural codes, while ICD-Prediction uses sequence-to-sequence models, so practitioners might combine both architectures or compare their trade-offs between computational efficiency and predictive accuracy on the same MIMIC dataset.
About caml-mimic
jamesmullenbach/caml-mimic
multilabel classification of EHR notes
This project helps medical coders and health information managers automatically assign medical codes (like ICD-9 or ICD-10) to patient discharge summaries and clinical notes. By inputting raw clinical text, it outputs predicted medical codes, streamlining the coding process. Healthcare professionals responsible for medical billing, health records, or public health reporting would find this useful.
About icd-prediction-mimic
3778/icd-prediction-mimic
Predicting ICD Codes from Clinical Notes
This project helps medical coders and health information managers automatically assign medical diagnosis codes to patient records. It takes a patient's discharge summary (clinical notes) as input and outputs a list of relevant ICD-9 diagnosis codes. The primary users are professionals responsible for medical billing, health record management, and epidemiological research.
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