A citation-based method for searching scientific literature

Benjamin A Goldstein, Ann Marie Navar, Michael J Pencina, John P A Ioannidis. J Am Med Inform Assoc 2017
Times Cited: 213







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



Times Cited
  Times     Co-cited
Similarity


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
453
18


A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.
Evangelia Christodoulou, Jie Ma, Gary S Collins, Ewout W Steyerberg, Jan Y Verbakel, Ben Van Calster. J Clin Epidemiol 2019
269
8

MIMIC-III, a freely accessible critical care database.
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
959
8

Assessing the performance of prediction models: a framework for traditional and novel measures.
Ewout W Steyerberg, Andrew J Vickers, Nancy R Cook, Thomas Gerds, Mithat Gonen, Nancy Obuchowski, Michael J Pencina, Michael W Kattan. Epidemiology 2010
7

Machine Learning in Medicine.
Alvin Rajkomar, Jeffrey Dean, Isaac Kohane. N Engl J Med 2019
439
7

Big data in health care: using analytics to identify and manage high-risk and high-cost patients.
David W Bates, Suchi Saria, Lucila Ohno-Machado, Anand Shah, Gabriel Escobar. Health Aff (Millwood) 2014
296
6


Internal validation of predictive models: efficiency of some procedures for logistic regression analysis.
E W Steyerberg, F E Harrell, G J Borsboom, M J Eijkemans, Y Vergouwe, J D Habbema. J Clin Epidemiol 2001
6

Dissecting racial bias in an algorithm used to manage the health of populations.
Ziad Obermeyer, Brian Powers, Christine Vogeli, Sendhil Mullainathan. Science 2019
325
6

Using Electronic Health Records for Population Health Research: A Review of Methods and Applications.
Joan A Casey, Brian S Schwartz, Walter F Stewart, Nancy E Adler. Annu Rev Public Health 2016
160
6


Mining electronic health records: towards better research applications and clinical care.
Peter B Jensen, Lars J Jensen, Søren Brunak. Nat Rev Genet 2012
526
6

A comparison of risk prediction methods using repeated observations: an application to electronic health records for hemodialysis.
Benjamin A Goldstein, Gina Maria Pomann, Wolfgang C Winkelmayer, Michael J Pencina. Stat Med 2017
22
22

Prognosis Research Strategy (PROGRESS) 3: prognostic model research.
Ewout W Steyerberg, Karel G M Moons, Danielle A van der Windt, Jill A Hayden, Pablo Perel, Sara Schroter, Richard D Riley, Harry Hemingway, Douglas G Altman. PLoS Med 2013
583
5

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
Varun Gulshan, Lily Peng, Marc Coram, Martin C Stumpe, Derek Wu, Arunachalam Narayanaswamy, Subhashini Venugopalan, Kasumi Widner, Tom Madams, Jorge Cuadros,[...]. JAMA 2016
5

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
353
5

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data.
Milena A Gianfrancesco, Suzanne Tamang, Jinoos Yazdany, Gabriela Schmajuk. JAMA Intern Med 2018
159
5

Big Data and Machine Learning in Health Care.
Andrew L Beam, Isaac S Kohane. JAMA 2018
347
5

Implementing Machine Learning in Health Care - Addressing Ethical Challenges.
Danton S Char, Nigam H Shah, David Magnus. N Engl J Med 2018
224
5

Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.
Hude Quan, Vijaya Sundararajan, Patricia Halfon, Andrew Fong, Bernard Burnand, Jean-Christophe Luthi, L Duncan Saunders, Cynthia A Beck, Thomas E Feasby, William A Ghali. Med Care 2005
4

Risk prediction models for hospital readmission: a systematic review.
Devan Kansagara, Honora Englander, Amanda Salanitro, David Kagen, Cecelia Theobald, Michele Freeman, Sunil Kripalani. JAMA 2011
999
4



Deep learning for healthcare: review, opportunities and challenges.
Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T Dudley. Brief Bioinform 2018
295
4

Using recurrent neural network models for early detection of heart failure onset.
Edward Choi, Andy Schuetz, Walter F Stewart, Jimeng Sun. J Am Med Inform Assoc 2017
166
4

Can machine-learning improve cardiovascular risk prediction using routine clinical data?
Stephen F Weng, Jenna Reps, Joe Kai, Jonathan M Garibaldi, Nadeem Qureshi. PLoS One 2017
258
4


Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.
Karel G M Moons, Douglas G Altman, Johannes B Reitsma, John P A Ioannidis, Petra Macaskill, Ewout W Steyerberg, Andrew J Vickers, David F Ransohoff, Gary S Collins. Ann Intern Med 2015
4

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
214
4

Prediction models for cardiovascular disease risk in the general population: systematic review.
Johanna A A G Damen, Lotty Hooft, Ewoud Schuit, Thomas P A Debray, Gary S Collins, Ioanna Tzoulaki, Camille M Lassale, George C M Siontis, Virginia Chiocchia, Corran Roberts,[...]. BMJ 2016
270
4

Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.
Karel G M Moons, Joris A H de Groot, Walter Bouwmeester, Yvonne Vergouwe, Susan Mallett, Douglas G Altman, Johannes B Reitsma, Gary S Collins. PLoS Med 2014
442
4

Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.
Ziad Obermeyer, Ezekiel J Emanuel. N Engl J Med 2016
699
4

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
4

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
198
4

Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data.
Jenna M Reps, Martijn J Schuemie, Marc A Suchard, Patrick B Ryan, Peter R Rijnbeek. J Am Med Inform Assoc 2018
38
10

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
137
4

Improving palliative care with deep learning.
Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Ng, Nigam H Shah. BMC Med Inform Decis Mak 2018
64
6

Reporting of artificial intelligence prediction models.
Gary S Collins, Karel G M Moons. Lancet 2019
149
4

Dermatologist-level classification of skin cancer with deep neural networks.
Andre Esteva, Brett Kuprel, Roberto A Novoa, Justin Ko, Susan M Swetter, Helen M Blau, Sebastian Thrun. Nature 2017
4

Do no harm: a roadmap for responsible machine learning for health care.
Jenna Wiens, Suchi Saria, Mark Sendak, Marzyeh Ghassemi, Vincent X Liu, Finale Doshi-Velez, Kenneth Jung, Katherine Heller, David Kale, Mohammed Saeed,[...]. Nat Med 2019
86
4

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Laure Wynants, Ben Van Calster, Gary S Collins, Richard D Riley, Georg Heinze, Ewoud Schuit, Marc M J Bonten, Darren L Dahly, Johanna A A Damen, Thomas P A Debray,[...]. BMJ 2020
760
4

Machine Learning in Medicine.
Rahul C Deo. Circulation 2015
589
4


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


Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis.
Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi. IEEE J Biomed Health Inform 2018
167
3

Controlling for Informed Presence Bias Due to the Number of Health Encounters in an Electronic Health Record.
Benjamin A Goldstein, Nrupen A Bhavsar, Matthew Phelan, Michael J Pencina. Am J Epidemiol 2016
45
6

Characterizing treatment pathways at scale using the OHDSI network.
George Hripcsak, Patrick B Ryan, Jon D Duke, Nigam H Shah, Rae Woong Park, Vojtech Huser, Marc A Suchard, Martijn J Schuemie, Frank J DeFalco, Adler Perotte,[...]. Proc Natl Acad Sci U S A 2016
124
3



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.