[
  {
    "F1 (Sequence)": 0.807,
    "F1 (Set)": 0.837,
    "code_links": [
      {
        "title": "awni/ecg",
        "url": "https://github.com/awni/ecg"
      },
      {
        "title": "manideep2510/ECG-acquisition-classification",
        "url": "https://github.com/manideep2510/ECG-acquisition-classification"
      }
    ],
    "date": "2019-01-07",
    "date2": 20190107,
    "model": "DNN",
    "paper": {
      "title": "Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network",
      "url": "https://cknow.io/lib/63e014db189f4ab8"
    },
    "paper_data_uoa": "63e014db189f4ab8"
  },
  {
    "F1 (Sequence)": 0.753,
    "F1 (Set)": 0.78,
    "code_links": [
      {
        "title": "awni/ecg",
        "url": "https://github.com/awni/ecg"
      },
      {
        "title": "manideep2510/ECG-acquisition-classification",
        "url": "https://github.com/manideep2510/ECG-acquisition-classification"
      }
    ],
    "date": "2019-01-07",
    "date2": 20190107,
    "model": "Cardiologists Averaged",
    "paper": {
      "title": "Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network",
      "url": "https://cknow.io/lib/63e014db189f4ab8"
    },
    "paper_data_uoa": "63e014db189f4ab8"
  }
]