A citation-based method for searching scientific literature

Alistair E W Johnson, Tom J Pollard, Lu Shen, Li-Wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, Roger G Mark. Sci Data 2016
Times Cited: 1051







List of co-cited articles
198 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).
Mervyn Singer, Clifford S Deutschman, Christopher Warren Seymour, Manu Shankar-Hari, Djillali Annane, Michael Bauer, Rinaldo Bellomo, Gordon R Bernard, Jean-Daniel Chiche, Craig M Coopersmith,[...]. JAMA 2016
13

The eICU Collaborative Research Database, a freely available multi-center database for critical care research.
Tom J Pollard, Alistair E W Johnson, Jesse D Raffa, Leo A Celi, Roger G Mark, Omar Badawi. Sci Data 2018
170
13

The MIMIC Code Repository: enabling reproducibility in critical care research.
Alistair Ew Johnson, David J Stone, Leo A Celi, Tom J Pollard. J Am Med Inform Assoc 2018
78
15


PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.
A L Goldberger, L A Amaral, L Glass, J M Hausdorff, P C Ivanov, R G Mark, J E Mietus, G B Moody, C K Peng, H E Stanley. Circulation 2000
9

Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.
Guergana K Savova, James J Masanz, Philip V Ogren, Jiaping Zheng, Sunghwan Sohn, Karin C Kipper-Schuler, Christopher G Chute. J Am Med Inform Assoc 2010
709
8

Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016.
Andrew Rhodes, Laura E Evans, Waleed Alhazzani, Mitchell M Levy, Massimo Antonelli, Ricard Ferrer, Anand Kumar, Jonathan E Sevransky, Charles L Sprung, Mark E Nunnally,[...]. Intensive Care Med 2017
7

An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.
Shamim Nemati, Andre Holder, Fereshteh Razmi, Matthew D Stanley, Gari D Clifford, Timothy G Buchman. Crit Care Med 2018
186
7

Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach.
Thomas Desautels, Jacob Calvert, Jana Hoffman, Melissa Jay, Yaniv Kerem, Lisa Shieh, David Shimabukuro, Uli Chettipally, Mitchell D Feldman, Chris Barton,[...]. JMIR Med Inform 2016
148
6

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
6

Multitask learning and benchmarking with clinical time series data.
Hrayr Harutyunyan, Hrant Khachatrian, David C Kale, Greg Ver Steeg, Aram Galstyan. Sci Data 2019
58
10

A clinically applicable approach to continuous prediction of future acute kidney injury.
Nenad Tomašev, Xavier Glorot, Jack W Rae, Michal Zielinski, Harry Askham, Andre Saraiva, Anne Mottram, Clemens Meyer, Suman Ravuri, Ivan Protsyuk,[...]. Nature 2019
228
6


Real-time mortality prediction in the Intensive Care Unit.
Alistair E W Johnson, Roger G Mark. AMIA Annu Symp Proc 2018
26
23

A targeted real-time early warning score (TREWScore) for septic shock.
Katharine E Henry, David N Hager, Peter J Pronovost, Suchi Saria. Sci Transl Med 2015
206
6

Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care.
D C Angus, W T Linde-Zwirble, J Lidicker, G Clermont, J Carcillo, M R Pinsky. Crit Care Med 2001
5

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.
Matthieu Komorowski, Leo A Celi, Omar Badawi, Anthony C Gordon, A Aldo Faisal. Nat Med 2018
210
5

Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study.
Eric A J Hoste, Sean M Bagshaw, Rinaldo Bellomo, Cynthia M Cely, Roos Colman, Dinna N Cruz, Kyriakos Edipidis, Lui G Forni, Charles D Gomersall, Deepak Govil,[...]. Intensive Care Med 2015
872
5

Scalable and accurate deep learning with electronic health records.
Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M Dai, Nissan Hajaj, Michaela Hardt, Peter J Liu, Xiaobing Liu, Jake Marcus, Mimi Sun,[...]. NPJ Digit Med 2018
479
5

CLAMP - a toolkit for efficiently building customized clinical natural language processing pipelines.
Ergin Soysal, Jingqi Wang, Min Jiang, Yonghui Wu, Serguei Pakhomov, Hongfang Liu, Hua Xu. J Am Med Inform Assoc 2018
96
4

2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text.
Özlem Uzuner, Brett R South, Shuying Shen, Scott L DuVall. J Am Med Inform Assoc 2011
348
4

An overview of MetaMap: historical perspective and recent advances.
Alan R Aronson, François-Michel Lang. J Am Med Inform Assoc 2010
518
4

Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database.
Mohammed Saeed, Mauricio Villarroel, Andrew T Reisner, Gari Clifford, Li-Wei Lehman, George Moody, Thomas Heldt, Tin H Kyaw, Benjamin Moody, Roger G Mark. Crit Care Med 2011
365
4

A Comparative Analysis of Sepsis Identification Methods in an Electronic Database.
Alistair E W Johnson, Jerome Aboab, Jesse D Raffa, Tom J Pollard, Rodrigo O Deliberato, Leo A Celi, David J Stone. Crit Care Med 2018
50
8


A guide to deep learning in healthcare.
Andre Esteva, Alexandre Robicquet, Bharath Ramsundar, Volodymyr Kuleshov, Mark DePristo, Katherine Chou, Claire Cui, Greg Corrado, Sebastian Thrun, Jeff Dean. Nat Med 2019
393
4

Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning.
Steven Horng, David A Sontag, Yoni Halpern, Yacine Jernite, Nathan I Shapiro, Larry A Nathanson. PLoS One 2017
87
4



Comorbidity measures for use with administrative data.
A Elixhauser, C Steiner, D R Harris, R M Coffey. Med Care 1998
3

Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).
Christopher W Seymour, Vincent X Liu, Theodore J Iwashyna, Frank M Brunkhorst, Thomas D Rea, André Scherag, Gordon Rubenfeld, Jeremy M Kahn, Manu Shankar-Hari, Mervyn Singer,[...]. JAMA 2016
3

Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial.
David W Shimabukuro, Christopher W Barton, Mitchell D Feldman, Samson J Mataraso, Ritankar Das. BMJ Open Respir Res 2017
96
3

A computational approach to early sepsis detection.
Jacob S Calvert, Daniel A Price, Uli K Chettipally, Christopher W Barton, Mitchell D Feldman, Jana L Hoffman, Melissa Jay, Ritankar Das. Comput Biol Med 2016
82
3


BioBERT: a pre-trained biomedical language representation model for biomedical text mining.
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, Jaewoo Kang. Bioinformatics 2020
246
3



Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning.
Alison E Fohner, John D Greene, Brian L Lawson, Jonathan H Chen, Patricia Kipnis, Gabriel J Escobar, Vincent X Liu. J Am Med Inform Assoc 2019
15
20

Transthoracic echocardiography and mortality in sepsis: analysis of the MIMIC-III database.
Mengling Feng, Jakob I McSparron, Dang Trung Kien, David J Stone, David H Roberts, Richard M Schwartzstein, Antoine Vieillard-Baron, Leo Anthony Celi. Intensive Care Med 2018
41
7


Derivation and Validation of Machine Learning Approaches to Predict Acute Kidney Injury after Cardiac Surgery.
Hyung-Chul Lee, Hyun-Kyu Yoon, Karam Nam, Youn Joung Cho, Tae Kyong Kim, Won Ho Kim, Jae-Hyon Bahk. J Clin Med 2018
39
7

Decision curve analysis: a novel method for evaluating prediction models.
Andrew J Vickers, Elena B Elkin. Med Decis Making 2006
3

AKIpredictor, an online prognostic calculator for acute kidney injury in adult critically ill patients: development, validation and comparison to serum neutrophil gelatinase-associated lipocalin.
Marine Flechet, Fabian Güiza, Miet Schetz, Pieter Wouters, Ilse Vanhorebeek, Inge Derese, Jan Gunst, Isabel Spriet, Michaël Casaer, Greet Van den Berghe,[...]. Intensive Care Med 2017
61
4

A simple algorithm for identifying negated findings and diseases in discharge summaries.
W W Chapman, W Bridewell, P Hanbury, G F Cooper, B G Buchanan. J Biomed Inform 2001
423
3

Early prediction of circulatory failure in the intensive care unit using machine learning.
Stephanie L Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck,[...]. Nat Med 2020
27
11

Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements.
Lindsay P Zimmerman, Paul A Reyfman, Angela D R Smith, Zexian Zeng, Abel Kho, L Nelson Sanchez-Pinto, Yuan Luo. BMC Med Inform Decis Mak 2019
25
12

Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients.
Jack E Zimmerman, Andrew A Kramer, Douglas S McNair, Fern M Malila. Crit Care Med 2006
875
3

Clinical review: scoring systems in the critically ill.
Jean-Louis Vincent, Rui Moreno. Crit Care 2010
291
3

Optimal intensive care outcome prediction over time using machine learning.
Christopher Meiring, Abhishek Dixit, Steve Harris, Niall S MacCallum, David A Brealey, Peter J Watkinson, Andrew Jones, Simon Ashworth, Richard Beale, Stephen J Brett,[...]. PLoS One 2018
23
13

Determinants of the calibration of SAPS II and SAPS 3 mortality scores in intensive care: a European multicenter study.
Antoine Poncet, Thomas V Perneger, Paolo Merlani, Maurizia Capuzzo, Christophe Combescure. Crit Care 2017
17
17


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.