{
  "id": 334540,
  "title": "Quick Feedback Survey",
  "url": "/competitions/aacc-2022-predicting-pthrp-results/discussion/334540",
  "author_name": "",
  "post_date": "2022-07-01T22:01:34.337993400Z",
  "votes": 2,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Please help us learn from this experience by answering the short survey below. Responses can either be posted in this thread or emailed to mboyle@aacc.org. </p>\n<p><strong>What sector do you work in (academia, medicine, industry, other)?</strong><br>\n<strong>What institution do you work for (optional)?</strong><br>\n<strong>Do you plan to attend the 2022 AACC Annual Scientific Meeting?</strong><br>\n<strong>Do you use machine learning at your work/practice?</strong><br>\n<strong>What programming language did you use for your submission?</strong><br>\n<strong>What algorithm(s) did you employ?</strong><br>\n<strong>How did you prevent overfitting?</strong><br>\n<strong>What feedback do you have for us regarding the competition?</strong></p>\n<p>We look forward to hearing from you all, and are excited to learn more about the approaches you took. </p>",
  "messages": [
    {
      "id": "1840054",
      "postDate": "07/01/2022 22:01:34",
      "content": "<p>Please help us learn from this experience by answering the short survey below. Responses can either be posted in this thread or emailed to mboyle@aacc.org. </p>\n<p><strong>What sector do you work in (academia, medicine, industry, other)?</strong><br>\n<strong>What institution do you work for (optional)?</strong><br>\n<strong>Do you plan to attend the 2022 AACC Annual Scientific Meeting?</strong><br>\n<strong>Do you use machine learning at your work/practice?</strong><br>\n<strong>What programming language did you use for your submission?</strong><br>\n<strong>What algorithm(s) did you employ?</strong><br>\n<strong>How did you prevent overfitting?</strong><br>\n<strong>What feedback do you have for us regarding the competition?</strong></p>\n<p>We look forward to hearing from you all, and are excited to learn more about the approaches you took. </p>",
      "rawMarkdown": "Please help us learn from this experience by answering the short survey below. Responses can either be posted in this thread or emailed to mboyle@aacc.org. \n\n**What sector do you work in (academia, medicine, industry, other)?**\n**What institution do you work for (optional)?**\n**Do you plan to attend the 2022 AACC Annual Scientific Meeting?**\n**Do you use machine learning at your work/practice?**\n**What programming language did you use for your submission?**\n**What algorithm(s) did you employ?**\n**How did you prevent overfitting?**\n**What feedback do you have for us regarding the competition?**\n\nWe look forward to hearing from you all, and are excited to learn more about the approaches you took.",
      "votes": null
    },
    {
      "id": "1840059",
      "postDate": "07/01/2022 22:06:28",
      "content": "<p><strong>What sector do you work in (academia, medicine, industry, other)?</strong><br>\nMedicine</p>\n<p><strong>What institution do you work for (optional)?</strong><br>\nWashington University in St. Louis</p>\n<p><strong>Do you plan to attend the 2022 AACC Annual Scientific Meeting?</strong><br>\nYep!</p>\n<p><strong>Do you use machine learning at your work/practice?</strong><br>\nYes, but less than I would like… </p>\n<p><strong>What programming language did you use for your submission?</strong><br>\nR --&gt; Tidyverse/tidymodels.</p>\n<p><strong>What algorithm(s) did you employ?</strong><br>\nXGBoost <em><a href=\"https://dl.acm.org/doi/10.1145/2939672.2939785\" target=\"_blank\">(Chen and Guestrin, 2016, KDD)</a></em><br>\nAdasyn<em><a href=\"https://ieeexplore.ieee.org/document/4633969\" target=\"_blank\">(He et al, 2008, IEEE)</a></em> and SMOTE<em><a href=\"https://www.jair.org/index.php/jair/article/view/10302\" target=\"_blank\">(Chawla et al, 2002, JAIR)</a></em> for upsampling. <br>\nRandom Forests <em><a href=\"https://academic.oup.com/bioinformatics/article/28/1/112/219101\" target=\"_blank\">(Stekhoven and Buhlmann, 2012, Bioinformatics)</a></em> for imputing missing values.</p>\n<p><strong>How did you prevent overfitting?</strong><br>\n5-fold repeated cross-validation, repeated 5 times. </p>\n<p><strong>What feedback do you have for us regarding the competition?</strong><br>\nExcited to hear other's responses to this. I'm sure next year will be even better than the first. :) </p>\n<p>Nick</p>",
      "rawMarkdown": "**What sector do you work in (academia, medicine, industry, other)?**\nMedicine\n\n**What institution do you work for (optional)?**\nWashington University in St. Louis\n\n**Do you plan to attend the 2022 AACC Annual Scientific Meeting?**\nYep!\n\n**Do you use machine learning at your work/practice?**\nYes, but less than I would like... \n\n**What programming language did you use for your submission?**\nR --> Tidyverse/tidymodels.\n\n**What algorithm(s) did you employ?**\nXGBoost *[(Chen and Guestrin, 2016, KDD)](https://dl.acm.org/doi/10.1145/2939672.2939785)*\nAdasyn*[(He et al, 2008, IEEE)](https://ieeexplore.ieee.org/document/4633969)* and SMOTE*[(Chawla et al, 2002, JAIR)](https://www.jair.org/index.php/jair/article/view/10302)* for upsampling. \nRandom Forests *[(Stekhoven and Buhlmann, 2012, Bioinformatics)](https://academic.oup.com/bioinformatics/article/28/1/112/219101)* for imputing missing values.\n\n**How did you prevent overfitting?**\n5-fold repeated cross-validation, repeated 5 times. \n\n**What feedback do you have for us regarding the competition?**\nExcited to hear other's responses to this. I'm sure next year will be even better than the first. :) \n\nNick",
      "votes": null
    },
    {
      "id": "1844828",
      "postDate": "07/05/2022 20:48:38",
      "content": "<p><strong>What sector do you work in (academia, medicine, industry, other)?</strong><br>\nHealthcare Industry</p>\n<p><strong>What institution do you work for (optional)?</strong><br>\nProvidence Healthcare, BC, Canada</p>\n<p><strong>Do you plan to attend the 2022 AACC Annual Scientific Meeting?</strong><br>\nPotentially.</p>\n<p><strong>Do you use machine learning at your work/practice?</strong><br>\nYes</p>\n<p><strong>What programming language did you use for your submission?</strong><br>\nR (Tidyverse), Python (SKLearn)</p>\n<p><strong>What algorithm(s) did you employ?</strong><br>\nXGBoost, EBM, Bayesian Optimization (hyperparameters)</p>\n<p><strong>How did you prevent overfitting?</strong><br>\nmulti-fold repeated cross-validation. and watchlist in xgb training.</p>\n<p><strong>What feedback do you have for us regarding the competition?</strong><br>\nReally appreciate the efforts by the Competition Hosts and hope we will have more. </p>\n<p>M. </p>",
      "rawMarkdown": "**What sector do you work in (academia, medicine, industry, other)?**\nHealthcare Industry\n\n**What institution do you work for (optional)?**\nProvidence Healthcare, BC, Canada\n\n**Do you plan to attend the 2022 AACC Annual Scientific Meeting?**\nPotentially.\n\n**Do you use machine learning at your work/practice?**\nYes\n\n**What programming language did you use for your submission?**\nR (Tidyverse), Python (SKLearn)\n\n**What algorithm(s) did you employ?**\nXGBoost, EBM, Bayesian Optimization (hyperparameters)\n\n**How did you prevent overfitting?**\nmulti-fold repeated cross-validation. and watchlist in xgb training.\n\n**What feedback do you have for us regarding the competition?**\nReally appreciate the efforts by the Competition Hosts and hope we will have more. \n\nM.",
      "votes": null
    },
    {
      "id": "1845080",
      "postDate": "07/06/2022 03:43:39",
      "content": "<p>What sector do you work in (academia, medicine, industry, other)?<br>\nAcademia</p>\n<p>What institution do you work for (optional)?<br>\nCornell</p>\n<p>Do you plan to attend the 2022 AACC Annual Scientific Meeting?<br>\nYes</p>\n<p>Do you use machine learning at your work/practice?<br>\nYes</p>\n<p>What programming language did you use for your submission?<br>\nPython</p>\n<p>What algorithm(s) did you employ?<br>\nXGBoost</p>\n<p>How did you prevent overfitting?<br>\nMulti-model voting</p>\n<p>What feedback do you have for us regarding the competition?<br>\nMore information to understand those lab tests better. (I'm more on ML side)</p>",
      "rawMarkdown": "What sector do you work in (academia, medicine, industry, other)?\nAcademia\n\nWhat institution do you work for (optional)?\nCornell\n\nDo you plan to attend the 2022 AACC Annual Scientific Meeting?\nYes\n\nDo you use machine learning at your work/practice?\nYes\n\nWhat programming language did you use for your submission?\nPython\n\nWhat algorithm(s) did you employ?\nXGBoost\n\nHow did you prevent overfitting?\nMulti-model voting\n\nWhat feedback do you have for us regarding the competition?\nMore information to understand those lab tests better. (I'm more on ML side)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1840059,
      "author_name": "nickspies",
      "author_url": "",
      "post_date": "07/01/2022 22:06:28",
      "content": "<p><strong>What sector do you work in (academia, medicine, industry, other)?</strong><br>\nMedicine</p>\n<p><strong>What institution do you work for (optional)?</strong><br>\nWashington University in St. Louis</p>\n<p><strong>Do you plan to attend the 2022 AACC Annual Scientific Meeting?</strong><br>\nYep!</p>\n<p><strong>Do you use machine learning at your work/practice?</strong><br>\nYes, but less than I would like… </p>\n<p><strong>What programming language did you use for your submission?</strong><br>\nR --&gt; Tidyverse/tidymodels.</p>\n<p><strong>What algorithm(s) did you employ?</strong><br>\nXGBoost <em><a href=\"https://dl.acm.org/doi/10.1145/2939672.2939785\" target=\"_blank\">(Chen and Guestrin, 2016, KDD)</a></em><br>\nAdasyn<em><a href=\"https://ieeexplore.ieee.org/document/4633969\" target=\"_blank\">(He et al, 2008, IEEE)</a></em> and SMOTE<em><a href=\"https://www.jair.org/index.php/jair/article/view/10302\" target=\"_blank\">(Chawla et al, 2002, JAIR)</a></em> for upsampling. <br>\nRandom Forests <em><a href=\"https://academic.oup.com/bioinformatics/article/28/1/112/219101\" target=\"_blank\">(Stekhoven and Buhlmann, 2012, Bioinformatics)</a></em> for imputing missing values.</p>\n<p><strong>How did you prevent overfitting?</strong><br>\n5-fold repeated cross-validation, repeated 5 times. </p>\n<p><strong>What feedback do you have for us regarding the competition?</strong><br>\nExcited to hear other's responses to this. I'm sure next year will be even better than the first. :) </p>\n<p>Nick</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1844828,
      "author_name": "mobini",
      "author_url": "",
      "post_date": "07/05/2022 20:48:38",
      "content": "<p><strong>What sector do you work in (academia, medicine, industry, other)?</strong><br>\nHealthcare Industry</p>\n<p><strong>What institution do you work for (optional)?</strong><br>\nProvidence Healthcare, BC, Canada</p>\n<p><strong>Do you plan to attend the 2022 AACC Annual Scientific Meeting?</strong><br>\nPotentially.</p>\n<p><strong>Do you use machine learning at your work/practice?</strong><br>\nYes</p>\n<p><strong>What programming language did you use for your submission?</strong><br>\nR (Tidyverse), Python (SKLearn)</p>\n<p><strong>What algorithm(s) did you employ?</strong><br>\nXGBoost, EBM, Bayesian Optimization (hyperparameters)</p>\n<p><strong>How did you prevent overfitting?</strong><br>\nmulti-fold repeated cross-validation. and watchlist in xgb training.</p>\n<p><strong>What feedback do you have for us regarding the competition?</strong><br>\nReally appreciate the efforts by the Competition Hosts and hope we will have more. </p>\n<p>M. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1845080,
      "author_name": "yinghengwang",
      "author_url": "",
      "post_date": "07/06/2022 03:43:39",
      "content": "<p>What sector do you work in (academia, medicine, industry, other)?<br>\nAcademia</p>\n<p>What institution do you work for (optional)?<br>\nCornell</p>\n<p>Do you plan to attend the 2022 AACC Annual Scientific Meeting?<br>\nYes</p>\n<p>Do you use machine learning at your work/practice?<br>\nYes</p>\n<p>What programming language did you use for your submission?<br>\nPython</p>\n<p>What algorithm(s) did you employ?<br>\nXGBoost</p>\n<p>How did you prevent overfitting?<br>\nMulti-model voting</p>\n<p>What feedback do you have for us regarding the competition?<br>\nMore information to understand those lab tests better. (I'm more on ML side)</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1840054": "Please help us learn from this experience by answering the short survey below. Responses can either be posted in this thread or emailed to mboyle@aacc.org. \n\n**What sector do you work in (academia, medicine, industry, other)?**\n**What institution do you work for (optional)?**\n**Do you plan to attend the 2022 AACC Annual Scientific Meeting?**\n**Do you use machine learning at your work/practice?**\n**What programming language did you use for your submission?**\n**What algorithm(s) did you employ?**\n**How did you prevent overfitting?**\n**What feedback do you have for us regarding the competition?**\n\nWe look forward to hearing from you all, and are excited to learn more about the approaches you took.",
    "1840059": "**What sector do you work in (academia, medicine, industry, other)?**\nMedicine\n\n**What institution do you work for (optional)?**\nWashington University in St. Louis\n\n**Do you plan to attend the 2022 AACC Annual Scientific Meeting?**\nYep!\n\n**Do you use machine learning at your work/practice?**\nYes, but less than I would like... \n\n**What programming language did you use for your submission?**\nR --> Tidyverse/tidymodels.\n\n**What algorithm(s) did you employ?**\nXGBoost *[(Chen and Guestrin, 2016, KDD)](https://dl.acm.org/doi/10.1145/2939672.2939785)*\nAdasyn*[(He et al, 2008, IEEE)](https://ieeexplore.ieee.org/document/4633969)* and SMOTE*[(Chawla et al, 2002, JAIR)](https://www.jair.org/index.php/jair/article/view/10302)* for upsampling. \nRandom Forests *[(Stekhoven and Buhlmann, 2012, Bioinformatics)](https://academic.oup.com/bioinformatics/article/28/1/112/219101)* for imputing missing values.\n\n**How did you prevent overfitting?**\n5-fold repeated cross-validation, repeated 5 times. \n\n**What feedback do you have for us regarding the competition?**\nExcited to hear other's responses to this. I'm sure next year will be even better than the first. :) \n\nNick",
    "1844828": "**What sector do you work in (academia, medicine, industry, other)?**\nHealthcare Industry\n\n**What institution do you work for (optional)?**\nProvidence Healthcare, BC, Canada\n\n**Do you plan to attend the 2022 AACC Annual Scientific Meeting?**\nPotentially.\n\n**Do you use machine learning at your work/practice?**\nYes\n\n**What programming language did you use for your submission?**\nR (Tidyverse), Python (SKLearn)\n\n**What algorithm(s) did you employ?**\nXGBoost, EBM, Bayesian Optimization (hyperparameters)\n\n**How did you prevent overfitting?**\nmulti-fold repeated cross-validation. and watchlist in xgb training.\n\n**What feedback do you have for us regarding the competition?**\nReally appreciate the efforts by the Competition Hosts and hope we will have more. \n\nM.",
    "1845080": "What sector do you work in (academia, medicine, industry, other)?\nAcademia\n\nWhat institution do you work for (optional)?\nCornell\n\nDo you plan to attend the 2022 AACC Annual Scientific Meeting?\nYes\n\nDo you use machine learning at your work/practice?\nYes\n\nWhat programming language did you use for your submission?\nPython\n\nWhat algorithm(s) did you employ?\nXGBoost\n\nHow did you prevent overfitting?\nMulti-model voting\n\nWhat feedback do you have for us regarding the competition?\nMore information to understand those lab tests better. (I'm more on ML side)"
  },
  "source": "meta"
}