MIMIC-III, a freely accessible critical care database
Alistair E. W. Johnson,Tom J. Pollard,Lu Shen,Li-wei H. Lehman,Mengling Feng,Mengling Feng,Mohammad M. Ghassemi,Benjamin Moody,Peter Szolovits,Leo Anthony Celi,Leo Anthony Celi,Roger G. Mark,Roger G. Mark +12 more
TL;DR: The Medical Information Mart for Intensive Care (MIMIC-III) as discussed by the authors is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital.
read more
Abstract: MIMIC-III ('Medical Information Mart for Intensive Care') is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. The database supports applications including academic and industrial research, quality improvement initiatives, and higher education coursework.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Association of serum total and ionized calcium with all-cause mortality incritically ill patients with acute kidney injury.
TL;DR: Low-iCa concentrations were independent predictors of all-cause mortality in critically ill patients with AKI and remained a significant predictor at 30 days, 90 days, 365’days and after adjusting for more confounding factors.
43
Text Mining for Drug Discovery.
TL;DR: This chapter serves as an introduction to the applications of various text mining approaches in drug discovery as well as an overview of text mining in the biosciences.
43
Comparative Analysis of Text Classification Approaches in Electronic Health Records.
Aurelie Mascio,Zeljko Kraljevic,Daniel Bean,Richard Dobson,Robert Stewart,Rebecca Bendayan,Angus Roberts +6 more
- 01 Jul 2020
TL;DR: The results show that traditional approaches, when tailored to the specific language and structure of the text inherent to the classification task, can achieve or exceed the performance of more recent ones based on contextual embeddings such as BERT.
43
Community-level Research on Suicidality Prediction in a Secure Environment: Overview of the CLPsych 2021 Shared Task
Sean MacAvaney,Anjali Mittu,Glen Coppersmith,Jeff Leintz,Philip Resnik +4 more
- 01 Jun 2021
TL;DR: This is the first attempt to address the problem in mental health by conducting a shared task using sensitive data in a secure data enclave, and discusses the task, team results, and lessons learned to set the stage for future tasks on sensitive or confidential data.
Evaluation Methods and Measures for Causal Learning Algorithms
TL;DR: In this article , the authors present a survey of causal learning algorithms for big data applications, focusing on the two fundamental causal inference tasks and causality-aware machine learning tasks and conclude with primary challenges and opportunities for benchmarking causal learning algorithm in the era of big data.
References
PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.
Ary L. Goldberger,Luís A. Nunes Amaral,Leon Glass,Jeffrey M. Hausdorff,Plamen Ch. Ivanov,Roger G. Mark,Joseph E. Mietus,George B. Moody,Chung-Kang Peng,H. Eugene Stanley +9 more
TL;DR: The newly inaugurated Research Resource for Complex Physiologic Signals (RRSPS) as mentioned in this paper was created under the auspices of the National Center for Research Resources (NCR Resources).
14.3K
Policy: NIH plans to enhance reproducibility
TL;DR: Francis S. Collins and Lawrence A. Tabak discuss initiatives that the US National Institutes of Health is exploring to restore the self-correcting nature of preclinical research.
1.2K
Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database.
Mohammed Saeed,Mauricio Villarroel,Andrew T. Reisner,Gari D. Clifford,Gari D. Clifford,Li-wei H. Lehman,George B. Moody,Thomas Heldt,Tin H. Kyaw,Benjamin Moody,Roger G. Mark,Roger G. Mark +11 more
TL;DR: MIMIC-II documents a diverse and very large population of intensive care unit patient stays and contains comprehensive and detailed clinical data, including physiological waveforms and minute-by-minute trends for a subset of records.
1.1K
Best Practices for Scientific Computing
Greg Wilson,D. A. Aruliah,C. Titus Brown,Neil Chue Hong,Matt Davis,Richard T. Guy,Steven H. D. Haddock,Kathryn D. Huff,Ian M. Mitchell,Mark D. Plumbley,Ben Waugh,Ethan P. White,Paul P. H. Wilson +12 more
TL;DR: A set of best practices for scientific software development, based on research and experience, that will improve scientists' productivity and the reliability of their software are described.
Automated de-identification of free-text medical records
Ishna Neamatullah,Margaret M Douglass,Li-wei H. Lehman,Andrew T. Reisner,Mauricio Villarroel,William J. Long,Peter Szolovits,George B. Moody,Roger G. Mark,Gari D. Clifford +9 more
TL;DR: In this article, an automated Perl-based de-identification software package is described that is generally usable on most free-text medical records, e.g., nursing notes, discharge summaries, X-ray reports, etc.
Related Papers (5)
Mervyn Singer,Clifford S. Deutschman,Christopher W. Seymour,Manu Shankar-Hari,Djillali Annane,Michael Bauer,Rinaldo Bellomo,Gordon R. Bernard,Jean-Daniel Chiche,Craig M. Coopersmith,Richard S. Hotchkiss,Mitchell M. Levy,John C. Marshall,Greg S. Martin,Steven M. Opal,Gordon D. Rubenfeld,Gordon D. Rubenfeld,Tom van der Poll,Jean Louis Vincent,Derek C. Angus +19 more