{
  "id": 393690,
  "title": "Welcome to the competition",
  "url": "/competitions/spr-x-ray-gender/discussion/393690",
  "author_name": "",
  "post_date": "2023-03-10T12:19:52.334779600Z",
  "votes": 6,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Dear Data Science Enthusiasts,</p>\n<p>We are thrilled to announce a new Kaggle competition, sponsored by SPR and AWS, focused on predicting the age and gender of patients based on chest x-rays. This is a unique opportunity to apply your machine learning skills and contribute to the development of medical technology that can make a real difference in people's lives.</p>\n<p>The goal of this competition is to create models that accurately predict gender based on a large dataset of chest x-rays. Participants will have access to a vast amount of data and will be able to experiment with different techniques and algorithms to create the most accurate models possible.</p>\n<p>To make the process easier for participants, we have provided code templates to help get you started. These templates will help you get up and running quickly and provide you with a solid foundation to build upon. Additionally, our sponsors will acknowledge the winners during SPR annual meeting, Jornada Paulista de Radiologia.</p>\n<p>Use this discussion forum to post questions and comments, and to learn and teach your peers.</p>\n<p>This is an opportunity to not only improve your skills and knowledge in machine learning but also contribute to a critical area of medical research. We are excited to see the creative solutions and innovative approaches that our participants will bring to the competition.</p>\n<p>So, join us in this exciting competition and show us what you can do. Let's work together to create a better future for patients and medical professionals alike.</p>\n<p>Best regards,</p>\n<p>Felipe Kitamura<br>\nPaulo Kuriki</p>",
  "messages": [
    {
      "id": "2176129",
      "postDate": "03/10/2023 12:19:52",
      "content": "<p>Dear Data Science Enthusiasts,</p>\n<p>We are thrilled to announce a new Kaggle competition, sponsored by SPR and AWS, focused on predicting the age and gender of patients based on chest x-rays. This is a unique opportunity to apply your machine learning skills and contribute to the development of medical technology that can make a real difference in people's lives.</p>\n<p>The goal of this competition is to create models that accurately predict gender based on a large dataset of chest x-rays. Participants will have access to a vast amount of data and will be able to experiment with different techniques and algorithms to create the most accurate models possible.</p>\n<p>To make the process easier for participants, we have provided code templates to help get you started. These templates will help you get up and running quickly and provide you with a solid foundation to build upon. Additionally, our sponsors will acknowledge the winners during SPR annual meeting, Jornada Paulista de Radiologia.</p>\n<p>Use this discussion forum to post questions and comments, and to learn and teach your peers.</p>\n<p>This is an opportunity to not only improve your skills and knowledge in machine learning but also contribute to a critical area of medical research. We are excited to see the creative solutions and innovative approaches that our participants will bring to the competition.</p>\n<p>So, join us in this exciting competition and show us what you can do. Let's work together to create a better future for patients and medical professionals alike.</p>\n<p>Best regards,</p>\n<p>Felipe Kitamura<br>\nPaulo Kuriki</p>",
      "rawMarkdown": "Dear Data Science Enthusiasts,\n\nWe are thrilled to announce a new Kaggle competition, sponsored by SPR and AWS, focused on predicting the age and gender of patients based on chest x-rays. This is a unique opportunity to apply your machine learning skills and contribute to the development of medical technology that can make a real difference in people's lives.\n\nThe goal of this competition is to create models that accurately predict gender based on a large dataset of chest x-rays. Participants will have access to a vast amount of data and will be able to experiment with different techniques and algorithms to create the most accurate models possible.\n\nTo make the process easier for participants, we have provided code templates to help get you started. These templates will help you get up and running quickly and provide you with a solid foundation to build upon. Additionally, our sponsors will acknowledge the winners during SPR annual meeting, Jornada Paulista de Radiologia.\n\nUse this discussion forum to post questions and comments, and to learn and teach your peers.\n\nThis is an opportunity to not only improve your skills and knowledge in machine learning but also contribute to a critical area of medical research. We are excited to see the creative solutions and innovative approaches that our participants will bring to the competition.\n\nSo, join us in this exciting competition and show us what you can do. Let's work together to create a better future for patients and medical professionals alike.\n\nBest regards,\n\nFelipe Kitamura\nPaulo Kuriki",
      "votes": null
    },
    {
      "id": "2176358",
      "postDate": "03/10/2023 15:26:16",
      "content": "<p>Hey, Kitamura and Kuriki! These are awesome competitions and datasets. <br>\nThanks for taking your time to prepare it. Let's have fun!</p>",
      "rawMarkdown": "Hey, Kitamura and Kuriki! These are awesome competitions and datasets. \nThanks for taking your time to prepare it. Let's have fun!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2176358,
      "author_name": "leocanela",
      "author_url": "",
      "post_date": "03/10/2023 15:26:16",
      "content": "<p>Hey, Kitamura and Kuriki! These are awesome competitions and datasets. <br>\nThanks for taking your time to prepare it. Let's have fun!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2176129": "Dear Data Science Enthusiasts,\n\nWe are thrilled to announce a new Kaggle competition, sponsored by SPR and AWS, focused on predicting the age and gender of patients based on chest x-rays. This is a unique opportunity to apply your machine learning skills and contribute to the development of medical technology that can make a real difference in people's lives.\n\nThe goal of this competition is to create models that accurately predict gender based on a large dataset of chest x-rays. Participants will have access to a vast amount of data and will be able to experiment with different techniques and algorithms to create the most accurate models possible.\n\nTo make the process easier for participants, we have provided code templates to help get you started. These templates will help you get up and running quickly and provide you with a solid foundation to build upon. Additionally, our sponsors will acknowledge the winners during SPR annual meeting, Jornada Paulista de Radiologia.\n\nUse this discussion forum to post questions and comments, and to learn and teach your peers.\n\nThis is an opportunity to not only improve your skills and knowledge in machine learning but also contribute to a critical area of medical research. We are excited to see the creative solutions and innovative approaches that our participants will bring to the competition.\n\nSo, join us in this exciting competition and show us what you can do. Let's work together to create a better future for patients and medical professionals alike.\n\nBest regards,\n\nFelipe Kitamura\nPaulo Kuriki",
    "2176358": "Hey, Kitamura and Kuriki! These are awesome competitions and datasets. \nThanks for taking your time to prepare it. Let's have fun!"
  },
  "source": "meta"
}