A citation-based method for searching scientific literature

Nilay D Shah, Ewout W Steyerberg, David M Kent. JAMA 2018
Times Cited: 95







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



Times Cited
  Times     Co-cited
Similarity


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
286
16

Big Data and Machine Learning in Health Care.
Andrew L Beam, Isaac S Kohane. JAMA 2018
372
14

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
12

Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.
Ziad Obermeyer, Ezekiel J Emanuel. N Engl J Med 2016
734
10



Calibration: the Achilles heel of predictive analytics.
Ben Van Calster, David J McLernon, Maarten van Smeden, Laure Wynants, Ewout W Steyerberg. BMC Med 2019
112
9


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
8

Calibration of risk prediction models: impact on decision-analytic performance.
Ben Van Calster, Andrew J Vickers. Med Decis Making 2015
112
8

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
7

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
7

External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges.
Richard D Riley, Joie Ensor, Kym I E Snell, Thomas P A Debray, Doug G Altman, Karel G M Moons, Gary S Collins. BMJ 2016
167
7

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
7

A calibration hierarchy for risk models was defined: from utopia to empirical data.
Ben Van Calster, Daan Nieboer, Yvonne Vergouwe, Bavo De Cock, Michael J Pencina, Ewout W Steyerberg. J Clin Epidemiol 2016
212
7


What This Computer Needs Is a Physician: Humanism and Artificial Intelligence.
Abraham Verghese, Nigam H Shah, Robert A Harrington. JAMA 2018
138
6

Unintended Consequences of Machine Learning in Medicine.
Federico Cabitza, Raffaele Rasoini, Gian Franco Gensini. JAMA 2017
255
6


Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.
Benjamin A Goldstein, Ann Marie Navar, Michael J Pencina, John P A Ioannidis. J Am Med Inform Assoc 2017
228
6

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
605
6

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
6

Decision curve analysis: a novel method for evaluating prediction models.
Andrew J Vickers, Elena B Elkin. Med Decis Making 2006
6

Dissecting racial bias in an algorithm used to manage the health of populations.
Ziad Obermeyer, Brian Powers, Christine Vogeli, Sendhil Mullainathan. Science 2019
380
6

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
299
5

The inevitable application of big data to health care.
Travis B Murdoch, Allan S Detsky. JAMA 2013
534
5

Discrimination and Calibration of Clinical Prediction Models: Users' Guides to the Medical Literature.
Ana Carolina Alba, Thomas Agoritsas, Michael Walsh, Steven Hanna, Alfonso Iorio, P J Devereaux, Thomas McGinn, Gordon Guyatt. JAMA 2017
355
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
179
5

The legal and ethical concerns that arise from using complex predictive analytics in health care.
I Glenn Cohen, Ruben Amarasingham, Anand Shah, Bin Xie, Bernard Lo. Health Aff (Millwood) 2014
62
8

"Precision" Public Health - Between Novelty and Hype.
Merlin Chowkwanyun, Ronald Bayer, Sandro Galea. N Engl J Med 2018
57
8

Prognosis and prognostic research: application and impact of prognostic models in clinical practice.
Karel G M Moons, Douglas G Altman, Yvonne Vergouwe, Patrick Royston. BMJ 2009
552
5

Calibration drift in regression and machine learning models for acute kidney injury.
Sharon E Davis, Thomas A Lasko, Guanhua Chen, Edward D Siew, Michael E Matheny. J Am Med Inform Assoc 2017
67
7

A new initiative on precision medicine.
Francis S Collins, Harold Varmus. N Engl J Med 2015
5

Reporting and methods in clinical prediction research: a systematic review.
Walter Bouwmeester, Nicolaas P A Zuithoff, Susan Mallett, Mirjam I Geerlings, Yvonne Vergouwe, Ewout W Steyerberg, Douglas G Altman, Karel G M Moons. PLoS Med 2012
288
5

Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.
Gary S Collins, Johannes B Reitsma, Douglas G Altman, Karel G M Moons. Ann Intern Med 2015
935
5

Making Machine Learning Models Clinically Useful.
Nigam H Shah, Arnold Milstein, Steven C Bagley PhD. JAMA 2019
56
8

Reporting of artificial intelligence prediction models.
Gary S Collins, Karel G M Moons. Lancet 2019
175
5

Machine Learning in Medicine.
Alvin Rajkomar, Jeffrey Dean, Isaac Kohane. N Engl J Med 2019
478
5

Big data. The parable of Google Flu: traps in big data analysis.
David Lazer, Ryan Kennedy, Gary King, Alessandro Vespignani. Science 2014
536
4

Machine learning: Trends, perspectives, and prospects.
M I Jordan, T M Mitchell. Science 2015
518
4

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.
David Moher, Alessandro Liberati, Jennifer Tetzlaff, Douglas G Altman. PLoS Med 2009
4


Machine Learning and Decision Support in Critical Care.
Alistair E W Johnson, Mohammad M Ghassemi, Shamim Nemati, Katherine E Niehaus, David A Clifton, Gari D Clifford. Proc IEEE Inst Electr Electron Eng 2016
93
4

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
4

Precision Public Health for the Era of Precision Medicine.
Muin J Khoury, Michael F Iademarco, William T Riley. Am J Prev Med 2016
211
4

Modern modeling techniques had limited external validity in predicting mortality from traumatic brain injury.
Tjeerd van der Ploeg, Daan Nieboer, Ewout W Steyerberg. J Clin Epidemiol 2016
24
16

The practical implementation of artificial intelligence technologies in medicine.
Jianxing He, Sally L Baxter, Jie Xu, Jiming Xu, Xingtao Zhou, Kang Zhang. Nat Med 2019
240
4

A new framework to enhance the interpretation of external validation studies of clinical prediction models.
Thomas P A Debray, Yvonne Vergouwe, Hendrik Koffijberg, Daan Nieboer, Ewout W Steyerberg, Karel G M Moons. J Clin Epidemiol 2015
215
4

Predictive analytics in health care: how can we know it works?
Ben Van Calster, Laure Wynants, Dirk Timmerman, Ewout W Steyerberg, Gary S Collins. J Am Med Inform Assoc 2019
29
13

Tufts PACE Clinical Predictive Model Registry: update 1990 through 2015.
Benjamin S Wessler, Jessica Paulus, Christine M Lundquist, Muhammad Ajlan, Zuhair Natto, William A Janes, Nitin Jethmalani, Gowri Raman, Jennifer S Lutz, David M Kent. Diagn Progn Res 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.