Skip to main content

CXR-K-Lite1 Model - High-throughput 3-plane fusion model

Project description

CXR-K-Lite1 Model

High-throughput CXR model optimized for speed using 3-plane fusion.

Installation

pip install cxr-k-lite1

Quick Start

from cxr_k_lite1 import analyze

claim = {
    "claimId": "CLM-FAST-001",
    "patientId": "PAT-001",
    "providerId": "PROV-001",
    "serviceDate": "2024-01-15",
    "procedureCode": "99213",
    "billedAmount": 120.0,
}

result = analyze(claim, tenant_id="tenant-123")
print(result["verdict"])

Features

  • 3-plane fusion (structured, unstructured, contextual)
  • Minimal context gathering for low latency
  • Ideal for batch processing and high-throughput workloads

Model Capabilities

  • Fusion Planes: 3
  • Monte Carlo: No
  • Speed Profile: Fast
  • Precision Level: Standard

Usage

from cxr_k_lite1 import get_model

model = get_model()
result = model.analyze(claim, tenant_id)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cxr_k_lite1-0.1.0.tar.gz (2.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cxr_k_lite1-0.1.0-py3-none-any.whl (2.2 kB view details)

Uploaded Python 3

File details

Details for the file cxr_k_lite1-0.1.0.tar.gz.

File metadata

  • Download URL: cxr_k_lite1-0.1.0.tar.gz
  • Upload date:
  • Size: 2.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.16

File hashes

Hashes for cxr_k_lite1-0.1.0.tar.gz
Algorithm Hash digest
SHA256 f652dbcef13701568d5b255c9c1a2c3a3e83e71638ed137518b605f0b83882e6
MD5 640171ffb6e86fcfaf3d4b2f16e63dee
BLAKE2b-256 b47902e37fbd7590bb23f95161efb51105fc5113d0a2a75df87b2ef6f6b8542e

See more details on using hashes here.

File details

Details for the file cxr_k_lite1-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: cxr_k_lite1-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 2.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.16

File hashes

Hashes for cxr_k_lite1-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a885ba8ca62c5170778af75df45ad5fb511b97487d7eb89d07aa0d996b010edf
MD5 ee0fc6d306b05de239879a9483292b64
BLAKE2b-256 1f323a9125cde587eeaf8172585ee0ed31d29d7e4815406d74d754b2c5b4b110

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page