{
  "id": 168106,
  "title": "Can anyone plz summarize the feature extraction and modelling process without specifying the details?",
  "url": "/competitions/osic-pulmonary-fibrosis-progression/discussion/168106",
  "author_name": "",
  "post_date": "2020-07-19T08:21:42.396126900Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "",
  "messages": [
    {
      "id": "935280",
      "postDate": "07/19/2020 08:21:42",
      "content": "",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "971840",
      "postDate": "08/16/2020 01:44:48",
      "content": "<p>Hi,<br>\nIn this competition we have two type of data , structure data (the csv files) and unstructured data (the CT scan images ),for unstructured data you need to apply  convolution neural network to extract features from images and then you need to apply a feedforward neural network   on the csv file to learn some good representation of it . and then concatenate the two vectors and  feed them to a feedforward neural network to calculate the VFC measure.</p>",
      "rawMarkdown": "Hi,\nIn this competition we have two type of data , structure data (the csv files) and unstructured data (the CT scan images ),for unstructured data you need to apply  convolution neural network to extract features from images and then you need to apply a feedforward neural network   on the csv file to learn some good representation of it . and then concatenate the two vectors and  feed them to a feedforward neural network to calculate the VFC measure.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 971840,
      "author_name": "azzeineaftiss",
      "author_url": "",
      "post_date": "08/16/2020 01:44:48",
      "content": "<p>Hi,<br>\nIn this competition we have two type of data , structure data (the csv files) and unstructured data (the CT scan images ),for unstructured data you need to apply  convolution neural network to extract features from images and then you need to apply a feedforward neural network   on the csv file to learn some good representation of it . and then concatenate the two vectors and  feed them to a feedforward neural network to calculate the VFC measure.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "935280": "",
    "971840": "Hi,\nIn this competition we have two type of data , structure data (the csv files) and unstructured data (the CT scan images ),for unstructured data you need to apply  convolution neural network to extract features from images and then you need to apply a feedforward neural network   on the csv file to learn some good representation of it . and then concatenate the two vectors and  feed them to a feedforward neural network to calculate the VFC measure."
  },
  "source": "meta"
}