Aug. 17, 2020
We are delighted to announce that MIMIC-IV has been published on PhysioNet! MIMIC-IV, the latest version of MIMIC, is a database comprising comprehensive clinical information on hospital stays for patients admitted to a tertiary academic medical center in Boston, MA, USA.
Major changes from MIMIC-III include: (1) a modular structure that links core hospital data to multiple data sources, including chest x-ray images; (2) an approach to date shifting that provides approximate year of admission; (3) new sources of data; such as the electronic medicine administration record.
The dataset is available from PhysioNet, and access is managed in the same way as MIMIC-III. If you already have access to MIMIC-III, then you will be granted access after signing the Data Use Agreement in the "Files" section of the project. New users will need to complete the credentialing process first (see: https://mimic-iv.mit.edu/docs/access/ for more details). For detailed guidelines on using MIMIC-IV, see the documentation!
Aug. 11, 2020
The MIT Laboratory for Computational Physiology is seeking a Post-Doctoral Associate to conduct independent research in health care informatics. The Laboratory is an NIH-supported multi-disciplinary group of clinicians, data scientists and engineers that produced the publicly distributed and growing MIMIC database. It is a rich and open research resource that supports signal processing and machine learning research leading to new knowledge and patient-specific prognostic and therapeutic guidance for critical care.
The Postdoc will contribute to the design and management of the current and future MIMIC databases, and will conduct multidisciplinary original research together with clinicians. The position provides the opportunity to interact with a world-class laboratory comprised of engineers, mathematicians and clinical staff working at the frontiers of translational medicine and advanced research in the domain of critical care informatics and machine learning. The Research Fellow will both contribute to ongoing research projects and propose innovative new projects suitable for research grant funding.
The ideal candidate has a doctoral degree in science or engineering, or a related discipline to assure high level understanding of the research environment. Experience in relational database development and administration is important, ideally in a medical environment. Competence and experience in a subset of the following is expected: Linux, Python, data management. Knowledge of medical terminology is desirable. Strong interpersonal and communication skills are essential. For more details, send a letter of interest and CV to Prof. Roger Mark at: rgmark AT mit.edu.
June 5, 2020
We are pleased to announce the release of the HiRID critical care dataset, developed as part of a collaboration between Bern University Hospital and the Swiss Federal Institute of Technology (ETH). HiRID is a freely accessible critical care dataset containing data relating to more than 33 thousand admissions to the Department of Intensive Care Medicine of the Bern University Hospital, Switzerland, an interdisciplinary 60-bed unit admitting >6,500 patients per year.
Read more: https://physionet.org/content/hirid/
March 25, 2020
We are currently dealing with a high volume of applications for credentialed access to PhysioNet, so please expect significant delays in the review process. We are doing our best to deal with the waitlist quickly, handling applications in the order in which they are received. To help ensure that your application is successful, please remember to:
- Include a copy of your CITI training report (not the certificate).
- Remind your reference to reply promptly when contacted.
- Check your application details are correct before submitting.
We apologize for the inconvenience. Please bear with us during this busy time!
March 2, 2020
Congratulations to the winners of the 2020 Women in Data Science (WiDS) Challenge. The event attracted 951 teams from over 80 countries who competed on models to predict the outcome of critically ill patients. The dataset used in the study, sourced from the GOSSIS (Global Open Source Severity of Illness Score) Consortium, comprised detailed information on over 130,000 ICU stays. For updates on future challenges by WiDS, subscribe to the WiDS mailing list.
Feb. 10, 2020
We are delighted to announce the PhysioNet/Computing in Cardiology Challenge 2020 on Classification of 12-lead ECGs.
For more information, see the Challenge website: https://physionetchallenges.github.io/2020/
Quick links for this year's Challenge can be found here:
- Registration form: https://bit.ly/37d21iN
- Public discussion forum: https://groups.google.com/forum/#!forum/physionet-challenges
- Rules and deadlines: https://physionetchallenges.github.io/2020/#rules-and-deadlines
More information will be posted on the website linked above (and eventually mirrored on physionet.org/challenge/2020 with a delay as it is available). Please check the Challenge forum for real time updates. Please also post questions and comments in the forum. However, if your question reveals information about your entry, then please email challenge [at] physionet.org. We may post parts of our reply publicly if we feel that all Challengers should benefit from the information contained in our responses. We will not answer emails about the Challenge to any other address.
Many thanks again for your continued support of this event and we hope you enjoy this year's challenge.
Read more: https://physionetchallenges.github.io/2020/
News from: MIMIC-CXR Database v2.0.0.
Feb. 10, 2020
A journal article describing the MIMIC-CXR database was recently published in Scientific Data. The article provides detail regarding the collection, curation, and processing done in order to create the database. The article is open access and available online .
The database has also been preprocessed into compressed JPG format images, which have been made available on PhysioNet as the MIMIC-CXR-JPG Database. The database includes labels extracted from the free-text reports using publicly available tools. You can read more about the creation of this resource in our arXiv preprint .
Finally, we have created the mimic-cxr GitHub repository for collaborative code development on MIMIC-CXR . The code used to generate MIMIC-CXR-JPG from MIMIC-CXR is available in the repository already. We welcome code contributions from all users, and we encourage discussion of the data via the GitHub issues.
 Johnson AE, Pollard TJ, Berkowitz SJ, Greenbaum NR, Lungren MP, Deng CY, Mark RG, Horng S. MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports. Scientific Data. 2019;6.
 Johnson AE, Pollard TJ, Greenbaum NR, Lungren MP, Deng C-Y, Peng Y, Lu Z, Mark RG, Berkowitz SJ, Horng S. MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs. arXiv preprint arXiv:1901.07042. 2019.
Jan. 23, 2020
The WiDS Datathon 2020 focuses on patient health through data from MIT’s GOSSIS (Global Open Source Severity of Illness Score) initiative. Brought to you by the Global WiDS team, the West Big Data Innovation Hub, and the WiDS Datathon Committee. Winners will be announced at the WiDS Conference at Stanford University and via livestream, reaching a community of 100,000+ data enthusiasts across more than 50 countries.
Nov. 21, 2019
The MIT Laboratory for Computational Physiology is seeking a Research Software Engineer to support and undertake projects focused on improving patient care. Joining a team of data scientists and clinicians, the Engineer will help to manage the system network, write code for research studies, and initiate and develop research software.
The position would be a good fit for someone with a bachelor’s or master’s degree in a technical subject such as biomedical engineering, physics, computer science, or equivalent experience. For more details, please see the job posting on the MIT website or contact us directly if you have questions.
Nov. 5, 2019
If you have any questions or comments regarding this challenge, please post it directly in our Community Discussion Forum. This will increase transparency (benefiting all the competitors) and ensure that all the challenge organizers see your question.
Nov. 4, 2019
The official paper describing the 2019 PhysioNet Challenge will appear in Critical Care Medicine.
News from: MIMIC-III Clinical Database v1.4.
Sept. 30, 2019
The MIMIC-III database is now available on two major cloud platforms: Google Cloud Platform (GCP) and Amazon Web Services (AWS). To access the data on the cloud, simply add the relevant cloud identifier to your PhysioNet profile. Further instructions are available on the MIMIC-III website.
Sept. 27, 2019
The MIMIC-CXR Database has been updated to v2.0.0. The database now contains DICOM format image files and free-text radiology reports. All data has been de-identified.
Credentialed users can access the data after signing the data use agreement.
Some users may have preferred the JPG format images for convenience, despite the information loss when storing the images in this format. We plan to release a distinct project on PhysioNet which contains the same images as MIMIC-CXR but in JPG format. This distinct project will also contain structured labels derived from the radiology report. Stay tuned!
Read more: https://physionet.org/content/mimic-cxr/
Sept. 17, 2019
July 8, 2019
- Thanks to our sponsors, a pre-conference hackathon (with prize(s)) will take place on Sunday 8th September in Singapore. Registration is required. Rules and more information can be found here .
June 23, 2019
- Two "wild card" teams were approved for inclusion in the Challenge. We are looking forward to meeting them in Singapore!
May 28, 2019
- We are accepting requests for Google Cloud Credits ($500 per eligible team). Requests are due by 29 May, 2019. Please see here for more information on how to apply for them. Requests will be processed in order and sent on to Google. We cannot guarantee you will receive them, especially later in the competition.
May 24, 2019
- By now you should have received your acceptance or rejection notices for your abstracts. If you were rejected, please do not worry - there are two more options to compete. See here and here for more information on this.
- We have added a `wild card' entry to allow one more team to enter the competition and be eligible for all the prizes. See here for more information on this.
- There will be an on-site hackathon revisiting the Challenge (with a separate award) on Sunday 8th September, before the conference begins in Singapore. Any team (whether previously registered for the Challenge or not) with at least one attendee at the conference, who turns up in person to register for the Hackathon, is eligible to enter. See here for more information on this.
May 2, 2019
- Please check the leaderboard for the current Challenge scores.
April 25, 2019