{ "id": 9844, "title": "Data use post competition", "url": "/competitions/seizure-detection/discussion/9844", "author_name": "", "post_date": "2014-07-23T17:07:59.130Z", "votes": 1, "comment_count": 5, "views": 2374, "content": "

Hi Organizing Team !!

\n

Good day !

\n

I have a quick question about the terms for continued use of the data post competition.Please let me know if the data could be used for further research/publication post competition..I would ofcourse acknowledge and reference UPenn and Mayo Clinic's Seizure Detection Challenge as well as any relevant publication.

\n

Looking forward to your reply

\n

Thanks

\n

Navin

", "messages": [ { "id": "51097", "postDate": "07/23/2014 17:07:59", "content": "

Hi Organizing Team !!

\n

Good day !

\n

I have a quick question about the terms for continued use of the data post competition.Please let me know if the data could be used for further research/publication post competition..I would ofcourse acknowledge and reference UPenn and Mayo Clinic's Seizure Detection Challenge as well as any relevant publication.

\n

Looking forward to your reply

\n

Thanks

\n

Navin

", "rawMarkdown": "", "votes": null }, { "id": "51355", "postDate": "07/30/2014 13:46:14", "content": "

Hi Navin,

\n

Thanks for the great question. Yes, you can use the data for further research and publication after the competition. Following this competition we are hosting a second competition, details TBA, which may use data from the same subjects in this competition. However, after that competition is completed we will make the full iEEG data records for all the subjects used freely available on the NIH-sponsored International Epilepsy EEG data portal, a joint project by UPenn and Mayo.

\n

We appreciate your willingness to give attribution for the data - there has been significant time, effort, and funds invested in its acquisition. To acknowledge the contest in your publications we would respectfully suggest something along the lines of the following:

\n

"Intracranial EEG data analyzed for this study was provided by the UPenn - Mayo Clinic Seizure Detection Challenge on kaggle.com, sponsored by the American Epilepsy Society, and the data is available via the NIH-sponsored International Epilepsy Electrophysiology Portal (ieeg.org)"

\n

We would also suggest that you consider referencing one of the following papers, depending on what data you're using. For the ieeg.org portal:

\n

Wagenaar, J.B., Brinkmann, B.H., Ives, Z., Worrell,G.A., Litt, B., “A Multimodal Platform for Cloud-based Collaborative Research”, Conf Proc IEEE Neural Engineering, Nov 2013.

\n

For the canine data:

\n

Coles LD, Patterson EE, Sheffield WD, Mavoori J, Higgins J, Michael B, Leyde K, Cloyd JC, Litt B, Vite C, Worrell GA, "Feasibility study of a caregiver seizure alert system in canine epilepsy." Epilepsy Res. 2013 Oct;106(3):456-60. doi: 10.1016/j.eplepsyres.2013.06.007. 

\n

For the human data:

\n

Stead M, Bower M, Brinkmann BH, Lee K, Marsh WR, Meyer FB, Litt B, Van Gompel J, Worrell GA. Microseizures and the spatiotemporal scales of human partial epilepsy. Brain. 2010 Sep;133(9):2789-97. doi: 10.1093/brain/awq190.

\n

and/or

\n

Brinkmann BH, Bower MR, Stengel KA, Worrell GA, Stead M. Large-scale electrophysiology: acquisition, compression, encryption, and storage of big data.  J Neurosci Methods. 2009 May 30;180(1):185-92. doi: 10.1016/j.jneumeth.2009.03.022.

", "rawMarkdown": "", "votes": null }, { "id": "51359", "postDate": "07/30/2014 14:20:27", "content": "

Hi Brinkmann

\n

Thanks for the mail and reply !! Will reference the articles and acknowledge the competition :)

\n

Have a nice week ahead

\n

Thanks

\n

Navin

", "rawMarkdown": "", "votes": null }, { "id": "58076", "postDate": "11/14/2014 15:22:39", "content": "

Hello,

\n

Would it be possible for you to publish the full iEEG data records for all subjects also in the format used for this challenge?

\n

I developed a method that generalizes an algorithm trained on pooled data, instead of training subject specific models, but the results I get on the iEEG records made available for this contest are with 0,04 bigger than the ones I obtain on the private leaderboard (locally: 0.986644, LB: 0.94711). I'm working now on measuring the sensitivity, false alarms rate and median latency per subject and I'm really curious how does my method perform on the entire data.

\n

Thank you,
Narcisa PANTILIMON

", "rawMarkdown": "", "votes": null }, { "id": "175752", "postDate": "04/17/2017 11:10:31", "content": "

Dear Organizing Team,

\n\n

Thank you for posting this dataset and making it available. I have a similar question regarding to the use of data after the competition for research purposes, is it possible to have the labels of the test segments to be able to calculate the model performance with comparison to the competition results ?

\n\n

Looking forward to your reply.

\n\n

Thanks a lot,

\n\n

Sahar

", "rawMarkdown": "Dear Organizing Team,\n\nThank you for posting this dataset and making it available. I have a similar question regarding to the use of data after the competition for research purposes, is it possible to have the labels of the test segments to be able to calculate the model performance with comparison to the competition results ?\n\nLooking forward to your reply.\n\nThanks a lot,\n\nSahar", "votes": null }, { "id": "203567", "postDate": "07/15/2017 14:59:46", "content": "

Hi, Bbrinkm,

\n\n

Thank you very much ! I have create an account at ieeg.org and I have found that I don't have the 'ID' (metioned in website) to retrieve the full dataset of this challenge and corresponding labels for test data.

\n\n

And I have noticed that you kindly posted the answer key of Seizure Prediction Challenge in Discussion panel. Would you mind if you can provide the 'ID' so I can retrieve the full dataset with labels or the answer key for test data of this challenge as attached files?

\n\n

Thank you!

\n\n

Mei

", "rawMarkdown": "Hi, Bbrinkm,\n\nThank you very much ! I have create an account at ieeg.org and I have found that I don't have the 'ID' (metioned in website) to retrieve the full dataset of this challenge and corresponding labels for test data. \n\nAnd I have noticed that you kindly posted the answer key of Seizure Prediction Challenge in Discussion panel. Would you mind if you can provide the 'ID' so I can retrieve the full dataset with labels or the answer key for test data of this challenge as attached files?\n\nThank you!\n\nMei", "votes": null } ], "comments": [ { "id": 51355, "author_name": "bbrinkm", "author_url": "", "post_date": "07/30/2014 13:46:14", "content": "

Hi Navin,

\n

Thanks for the great question. Yes, you can use the data for further research and publication after the competition. Following this competition we are hosting a second competition, details TBA, which may use data from the same subjects in this competition. However, after that competition is completed we will make the full iEEG data records for all the subjects used freely available on the NIH-sponsored International Epilepsy EEG data portal, a joint project by UPenn and Mayo.

\n

We appreciate your willingness to give attribution for the data - there has been significant time, effort, and funds invested in its acquisition. To acknowledge the contest in your publications we would respectfully suggest something along the lines of the following:

\n

"Intracranial EEG data analyzed for this study was provided by the UPenn - Mayo Clinic Seizure Detection Challenge on kaggle.com, sponsored by the American Epilepsy Society, and the data is available via the NIH-sponsored International Epilepsy Electrophysiology Portal (ieeg.org)"

\n

We would also suggest that you consider referencing one of the following papers, depending on what data you're using. For the ieeg.org portal:

\n

Wagenaar, J.B., Brinkmann, B.H., Ives, Z., Worrell,G.A., Litt, B., “A Multimodal Platform for Cloud-based Collaborative Research”, Conf Proc IEEE Neural Engineering, Nov 2013.

\n

For the canine data:

\n

Coles LD, Patterson EE, Sheffield WD, Mavoori J, Higgins J, Michael B, Leyde K, Cloyd JC, Litt B, Vite C, Worrell GA, "Feasibility study of a caregiver seizure alert system in canine epilepsy." Epilepsy Res. 2013 Oct;106(3):456-60. doi: 10.1016/j.eplepsyres.2013.06.007. 

\n

For the human data:

\n

Stead M, Bower M, Brinkmann BH, Lee K, Marsh WR, Meyer FB, Litt B, Van Gompel J, Worrell GA. Microseizures and the spatiotemporal scales of human partial epilepsy. Brain. 2010 Sep;133(9):2789-97. doi: 10.1093/brain/awq190.

\n

and/or

\n

Brinkmann BH, Bower MR, Stengel KA, Worrell GA, Stead M. Large-scale electrophysiology: acquisition, compression, encryption, and storage of big data.  J Neurosci Methods. 2009 May 30;180(1):185-92. doi: 10.1016/j.jneumeth.2009.03.022.

", "votes": null, "replies": [ { "id": 203567, "author_name": "znmei16", "author_url": "", "post_date": "07/15/2017 14:59:46", "content": "

Hi, Bbrinkm,

\n\n

Thank you very much ! I have create an account at ieeg.org and I have found that I don't have the 'ID' (metioned in website) to retrieve the full dataset of this challenge and corresponding labels for test data.

\n\n

And I have noticed that you kindly posted the answer key of Seizure Prediction Challenge in Discussion panel. Would you mind if you can provide the 'ID' so I can retrieve the full dataset with labels or the answer key for test data of this challenge as attached files?

\n\n

Thank you!

\n\n

Mei

", "votes": null, "replies": [] } ] }, { "id": 51359, "author_name": "navincota", "author_url": "", "post_date": "07/30/2014 14:20:27", "content": "

Hi Brinkmann

\n

Thanks for the mail and reply !! Will reference the articles and acknowledge the competition :)

\n

Have a nice week ahead

\n

Thanks

\n

Navin

", "votes": null, "replies": [] }, { "id": 58076, "author_name": "narcisapantilimon", "author_url": "", "post_date": "11/14/2014 15:22:39", "content": "

Hello,

\n

Would it be possible for you to publish the full iEEG data records for all subjects also in the format used for this challenge?

\n

I developed a method that generalizes an algorithm trained on pooled data, instead of training subject specific models, but the results I get on the iEEG records made available for this contest are with 0,04 bigger than the ones I obtain on the private leaderboard (locally: 0.986644, LB: 0.94711). I'm working now on measuring the sensitivity, false alarms rate and median latency per subject and I'm really curious how does my method perform on the entire data.

\n

Thank you,
Narcisa PANTILIMON

", "votes": null, "replies": [] }, { "id": 175752, "author_name": "saharsamy", "author_url": "", "post_date": "04/17/2017 11:10:31", "content": "

Dear Organizing Team,

\n\n

Thank you for posting this dataset and making it available. I have a similar question regarding to the use of data after the competition for research purposes, is it possible to have the labels of the test segments to be able to calculate the model performance with comparison to the competition results ?

\n\n

Looking forward to your reply.

\n\n

Thanks a lot,

\n\n

Sahar

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "51097": "", "51355": "", "51359": "", "58076": "", "175752": "Dear Organizing Team,\n\nThank you for posting this dataset and making it available. I have a similar question regarding to the use of data after the competition for research purposes, is it possible to have the labels of the test segments to be able to calculate the model performance with comparison to the competition results ?\n\nLooking forward to your reply.\n\nThanks a lot,\n\nSahar", "203567": "Hi, Bbrinkm,\n\nThank you very much ! I have create an account at ieeg.org and I have found that I don't have the 'ID' (metioned in website) to retrieve the full dataset of this challenge and corresponding labels for test data. \n\nAnd I have noticed that you kindly posted the answer key of Seizure Prediction Challenge in Discussion panel. Would you mind if you can provide the 'ID' so I can retrieve the full dataset with labels or the answer key for test data of this challenge as attached files?\n\nThank you!\n\nMei" }, "source": "meta" }