{ "id": 145188, "title": "How Important is the Gleason Score?", "url": "/competitions/prostate-cancer-grade-assessment/discussion/145188", "author_name": "soham mukherjee", "post_date": "2020-04-22T07:36:00.246000", "votes": 3, "comment_count": 2, "views": 0, "content": "

The Gleason Score is very useful for predicting the behavior of prostate cancer. However, other factors also contribute to determining the stage of prostate cancer, including:

\n\n
    \n
  1. The PSA level
    2. \n
  2. Findings from a rectal exam
    3. \n
  3. The number of biopsy core samples that contain cancer
    4. \n
  4. The percentage of cancer making up each biopsy core sample
    5. \n
  5. If cancer is found in one or both sides of the prostate
    6. \n
  6. If the cancer has spread outside the prostate
    7. \n
\n\n

\"\"

", "messages": [ { "id": 816229, "postDate": "2020-04-22T07:36:00.247Z", "content": "

The Gleason Score is very useful for predicting the behavior of prostate cancer. However, other factors also contribute to determining the stage of prostate cancer, including:

\n\n
    \n
  1. The PSA level
    2. \n
  2. Findings from a rectal exam
    3. \n
  3. The number of biopsy core samples that contain cancer
    4. \n
  4. The percentage of cancer making up each biopsy core sample
    5. \n
  5. If cancer is found in one or both sides of the prostate
    6. \n
  6. If the cancer has spread outside the prostate
    7. \n
\n\n

\"\"

", "rawMarkdown": "The Gleason Score is very useful for predicting the behavior of prostate cancer. However, other factors also contribute to determining the stage of prostate cancer, including:\n\n1. The PSA level\n2. Findings from a rectal exam\n3. The number of biopsy core samples that contain cancer\n4. The percentage of cancer making up each biopsy core sample\n5. If cancer is found in one or both sides of the prostate\n6. If the cancer has spread outside the prostate\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2708391%2Ffba8514cb5ac875b1c80f608ecf3d086%2Fmurtagh7e_c114_f04-2.png?generation=1587540943459842&alt=media)\n", "votes": 3 }, { "id": 816792, "postDate": "2020-04-22T15:42:53.260Z", "content": "

I know that the Gleason Score is considered the most useful tool in predicting prostate cancer.\nhttps://news.cancerconnect.com/prostate-cancer/prostate-cancer-what-you-need-to-know-about-the-gleason-score-P6Tew2AaP0SpkB-OZ0uOLA

\n\n

You can create a model that could show the importance of other factors that increase the risk of getting the cancer.\nI would look at the data set and then rad some good articles or what some videos on \"Feature Creation\" or \"Feature Engineering\".

\n\n

https://scholar.google.com/scholar?q=Creating+Features+in+Machine+Learning+models&hl=en&as_sdt=0&as_vis=1&oi=scholart

\n\n

https://www.google.com/search?q=Creating+Features+in+Machine+Learning+models&rlz=1C1GCEA_en&sxsrf=ALeKk00Innm2m4ICXQLqUNzk5GXuDE3MWg:1587570194670&source=lnms&tbm=vid&sa=X&ved=2ahUKEwjMn4nsr_zoAhVBmeAKHaz0DSQQ_AUoAXoECBEQAw&biw=1920&bih=937

", "rawMarkdown": "I know that the Gleason Score is considered the most useful tool in predicting prostate cancer.\nhttps://news.cancerconnect.com/prostate-cancer/prostate-cancer-what-you-need-to-know-about-the-gleason-score-P6Tew2AaP0SpkB-OZ0uOLA\n\nYou can create a model that could show the importance of other factors that increase the risk of getting the cancer.\nI would look at the data set and then rad some good articles or what some videos on \"Feature Creation\" or \"Feature Engineering\".\n\nhttps://scholar.google.com/scholar?q=Creating+Features+in+Machine+Learning+models&hl=en&as_sdt=0&as_vis=1&oi=scholart\n\nhttps://www.google.com/search?q=Creating+Features+in+Machine+Learning+models&rlz=1C1GCEA_en&sxsrf=ALeKk00Innm2m4ICXQLqUNzk5GXuDE3MWg:1587570194670&source=lnms&tbm=vid&sa=X&ved=2ahUKEwjMn4nsr_zoAhVBmeAKHaz0DSQQ_AUoAXoECBEQAw&biw=1920&bih=937\n\n", "votes": 1 }, { "id": 1668471, "postDate": "2022-01-29T16:47:04.380Z", "content": "

Gleason system is the strongest prognostic factor for clinical behaviour and treatment response
\nReference: Epstein, J.I., et al. The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma: Definition of Grading Patterns and Proposal for a New Grading System. Am J Surg Pathol, 2016. 40: 244.

", "rawMarkdown": "Gleason system is the strongest prognostic factor for clinical behaviour and treatment response\nReference: Epstein, J.I., et al. The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma: Definition of Grading Patterns and Proposal for a New Grading System. Am J Surg Pathol, 2016. 40: 244." } ], "comments": [ { "id": 816792, "author_name": "Data-Science Sean", "author_url": "", "post_date": "2020-04-22T15:42:53.260000", "content": "

I know that the Gleason Score is considered the most useful tool in predicting prostate cancer.\nhttps://news.cancerconnect.com/prostate-cancer/prostate-cancer-what-you-need-to-know-about-the-gleason-score-P6Tew2AaP0SpkB-OZ0uOLA

\n\n

You can create a model that could show the importance of other factors that increase the risk of getting the cancer.\nI would look at the data set and then rad some good articles or what some videos on \"Feature Creation\" or \"Feature Engineering\".

\n\n

https://scholar.google.com/scholar?q=Creating+Features+in+Machine+Learning+models&hl=en&as_sdt=0&as_vis=1&oi=scholart

\n\n

https://www.google.com/search?q=Creating+Features+in+Machine+Learning+models&rlz=1C1GCEA_en&sxsrf=ALeKk00Innm2m4ICXQLqUNzk5GXuDE3MWg:1587570194670&source=lnms&tbm=vid&sa=X&ved=2ahUKEwjMn4nsr_zoAhVBmeAKHaz0DSQQ_AUoAXoECBEQAw&biw=1920&bih=937

", "votes": 1, "replies": [] }, { "id": 1668471, "author_name": "Petronio Melo", "author_url": "", "post_date": "2022-01-29T16:47:04.380000", "content": "

Gleason system is the strongest prognostic factor for clinical behaviour and treatment response
\nReference: Epstein, J.I., et al. The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma: Definition of Grading Patterns and Proposal for a New Grading System. Am J Surg Pathol, 2016. 40: 244.

", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "816229": "The Gleason Score is very useful for predicting the behavior of prostate cancer. However, other factors also contribute to determining the stage of prostate cancer, including:\n\n1. The PSA level\n2. Findings from a rectal exam\n3. The number of biopsy core samples that contain cancer\n4. The percentage of cancer making up each biopsy core sample\n5. If cancer is found in one or both sides of the prostate\n6. If the cancer has spread outside the prostate\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2708391%2Ffba8514cb5ac875b1c80f608ecf3d086%2Fmurtagh7e_c114_f04-2.png?generation=1587540943459842&alt=media)\n", "816792": "I know that the Gleason Score is considered the most useful tool in predicting prostate cancer.\nhttps://news.cancerconnect.com/prostate-cancer/prostate-cancer-what-you-need-to-know-about-the-gleason-score-P6Tew2AaP0SpkB-OZ0uOLA\n\nYou can create a model that could show the importance of other factors that increase the risk of getting the cancer.\nI would look at the data set and then rad some good articles or what some videos on \"Feature Creation\" or \"Feature Engineering\".\n\nhttps://scholar.google.com/scholar?q=Creating+Features+in+Machine+Learning+models&hl=en&as_sdt=0&as_vis=1&oi=scholart\n\nhttps://www.google.com/search?q=Creating+Features+in+Machine+Learning+models&rlz=1C1GCEA_en&sxsrf=ALeKk00Innm2m4ICXQLqUNzk5GXuDE3MWg:1587570194670&source=lnms&tbm=vid&sa=X&ved=2ahUKEwjMn4nsr_zoAhVBmeAKHaz0DSQQ_AUoAXoECBEQAw&biw=1920&bih=937\n\n", "1668471": "Gleason system is the strongest prognostic factor for clinical behaviour and treatment response\nReference: Epstein, J.I., et al. The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma: Definition of Grading Patterns and Proposal for a New Grading System. Am J Surg Pathol, 2016. 40: 244." } }