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@misc{clinicaltrialsgov,
title = {Breast Cancer in Pregnancy Register Study - Full Text View - ClinicalTrials.gov},
url = {https://clinicaltrials.gov/ct2/show/NCT00196833},
description = {Breast Cancer in Pregnancy Register Study - Full Text View.}
}
@misc{challenge,
title = {Home \vert{} The SPRINT Data Analysis Challenge},
url = {https://challenge.nejm.org/groups/sprint-data-analysis-challenge/pages/home},
description = {To explore the potential of clinical trial data sharing, the New England Journal of Medicine (NEJM) is hosting a challenge: use the data underlying a recent NEJM article to identify a novel clinical finding that advances medical science.}
}
@misc{events,
title = {National Minimum Dataset (hospital events)},
url = {https://www.health.govt.nz/nz-health-statistics/national-collections-and-surveys/collections/national-minimum-dataset-hospital-events},
description = {The National Minimum Dataset is a national collection of public and private hospital discharge information, including coded clinical data for inpatients and day patients.}
}
@misc{dictionary,
title = {National Minimum Dataset (Hospital Events) data dictionary},
url = {https://www.health.govt.nz/publication/national-minimum-dataset-hospital-events-data-dictionary},
description = {The National Minimum Dataset is used for policy formation, performance monitoring, research, and review. It provides statistical information, reports, and analyses about the trends in the delivery of hospital inpatient and day patient health services both nationally and on a provider basis. It is also used for funding purposes.}
}
@misc{papers_with_code,
title = {Papers with {Code} - {The} latest in machine learning},
journal = {Papers with Code},
url = {https://paperswithcode.com/},
urldate = {2020-10-19},
type = {Repository}
}
@misc{data,
title = {Philips and MIT investigators collaborate to give researchers unprecedented access to critical care patient data},
url = {https://www.usa.philips.com/a-w/about/news/archive/standard/news/press/2015/20150115-Philips-and-MIT-investigators-collaborate-to-give-researchers-unprecedented-access-to-critical-care-patient-data.html\#.VnsL2UorKUk},
description = {Most inpatient multi-center data sets available to researchers today are limited to insurance claims data, which offers just a summary of a patient's stay. Through this new initiative, Philips will release a more comprehensive look at the ICU patient's journey by opening up data sets from patient stays in eICU centers representing approximately 10\% of all adult ICU beds in the United States.}
}
@misc{clinicaltrialsgova,
title = {Praegnant Breast Cancer: Early/Advanced/Metastatic - Full Text View - ClinicalTrials.gov},
url = {https://clinicaltrials.gov/ct2/show/NCT02338167},
description = {Praegnant Breast Cancer: Early/Advanced/Metastatic - Full Text View.}
}
@misc{2017,
title = {Publicly funded hospital discharges – 1 July 2016 to 30 June 2017},
url = {https://www.health.govt.nz/publication/publicly-funded-hospital-discharges-1-july-2016-30-june-2017},
description = {These tables contain summarised data detailing publicly funded hospital discharges and procedures by DHB, ethnic group, sex, age group and disease/procedure classification. The data is provided in multiple formats.}
}
@misc{informatics,
title = {Synthetic Derivative \vert{} Department of Biomedical Informatics},
url = {https://www.vumc.org/dbmi/synthetic-derivative},
description = {The Synthetic Derivative (SD) is the database containing clinical information derived from Vanderbilt's electronic medical record. The SD is a set of records that is no longer linked to the identified medical record from which it is derived and has been altered to the point it no longer closely resembles the original record. The SD can be used as a stand-alone research resource, or can be used in conjunction with BioVU to identify record sets for genome-phenome analysis.}
}
@misc{wandb,
title = {Weights and Biases, Developer tools for ML},
url = {https://www.wandb.com/},
urldate = {2020-10-19}
}
@misc{ssl-mit,
title = {Semi-Supervised Learning - The MIT Press},
author = {Chapelle, Olivier and Sch{\"{o}}lkopf, Bernhard and Zien, Alexander},
url = {https://mitpress.mit.edu/books/semi-supervised-learning http://mitpress.mit.edu/books/semi-supervised-learning},
urldate = {2020-10-07}
}
@misc{Clarivate,
title = {Trusted publisher-independent citation database - Web of Science Group},
author = {Clarivate},
url = {https://clarivate.com/webofsciencegroup/solutions/web-of-science/},
urldate = {2020-10-06}
}
@misc{scholar,
title = {Google Scholar},
author = {Google},
url = {https://scholar.google.com/},
urldate = {2020-10-06}
}
@misc{nielsend,
title = {10 Heuristics for User Interface Design: Article by Jakob Nielsen},
author = {Nielse, Jakob},
url = {https://www.nngroup.com/articles/ten-usability-heuristics/}
}
@misc{Prophy,
title = {Prophy},
author = {Prophy},
url = {https://www.prophy.science/},
urldate = {2020-10-06}
}
@misc{us_bureau_of_labor_statistics_american_nodate,
title = {American {Time} {Use} {Survey} {Home} {Page}},
author = {U.S. Bureau of Labor Statistics},
url = {https://www.bls.gov/tus/home.htm},
urldate = {2020-10-19}
}
@misc{Wikipediacontributors,
title = {Jaccard index - Wikipedia},
author = {Wikipedia contributors},
url = {https://en.wikipedia.org/wiki/Jaccard{\%5F}index},
urldate = {2020-10-09}
}
@article{Agrawal1993,
title = {Mining Association Rules between Sets of Items in Large Databases},
author = {Agrawal, Rakesh and Imieli\'{n}ski, Tomasz and Swami, Arun},
year = 1993,
month = jun,
journal = {SIGMOD Rec.},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = 22,
number = 2,
pages = {207–216},
doi = {10.1145/170036.170072},
issn = {0163-5808},
url = {https://doi.org/10.1145/170036.170072},
issue_date = {June 1, 1993},
numpages = 10
}
@article{Goldberger_2000,
title = {{{PhysioBank} {PhysioToolkit} and {PhysioNet}}},
author = {Ary L. Goldberger and Luis A. N. Amaral and Leon Glass and Jeffrey M. Hausdorff and Plamen Ch. Ivanov and Roger G. Mark and Joseph E. Mietus and George B. Moody and Chung-Kang Peng and H. Eugene Stanley},
year = 2000,
month = jun,
journal = {Circulation},
publisher = {Ovid Technologies (Wolters Kluwer Health)},
volume = 101,
number = 23,
doi = {10.1161/01.cir.101.23.e215},
url = {https://doi.org/10.1161\%2F01.cir.101.23.e215}
}
@article{Etzioni2002,
title = {Overdiagnosis due to prostate-specific antigen screening: lessons from U.S. prostate cancer incidence trends.},
author = {Etzioni, R and Penson, DF and Legler, JM and di, Tommaso D and Boer, R and Gann, PH and Feuer, EJ},
year = 2002,
month = jul,
journal = {J Natl Cancer Inst},
volume = 94,
pages = {981--90},
date = {2002 Jul 3},
source = {J Natl Cancer Inst},
authors = {Etzioni, R and Penson, DF and Legler, JM and di, Tommaso D and Boer, R and Gann, PH and Feuer, EJ},
pubmed_id = 12096083
}
@inproceedings{ranzato2007unsupervised,
title = {Unsupervised learning of invariant feature hierarchies with applications to object recognition},
author = {Ranzato, Marc'Aurelio Marc-Aurelio and Huang, Fu Jie and Boureau, Y-Lan Lan and LeCun, Yann},
year = 2007,
booktitle = {2007 IEEE conference on computer vision and pattern recognition},
pages = {1--8},
doi = {10.1109/cvpr.2007.383157},
isbn = 1424411807,
issn = 10636919,
mendeley-groups = {OHD-GAN-misc},
organization = {Ieee}
}
@article{maaten2008tsne,
title = {Visualizing data using t-SNE},
author = {{Van Der Maaten}, Laurens and Hinton, Geoffrey},
year = 2008,
journal = {Journal of Machine Learning Research},
volume = 9,
pages = {2579--2625},
issn = 15324435,
url = {http://www.jmlr.org/papers/v9/vandermaaten08a.html},
mendeley-groups = {OHD-GAN-misc}
}
@incollection{Dwork2008,
title = {Differential Privacy: A Survey of Results},
author = {Dwork, Cynthia},
year = 2008,
month = apr,
booktitle = {Theory and Applications of Models of Computation},
publisher = {Springer Berlin Heidelberg},
pages = {1--19},
doi = {10.1007/978-3-540-79228-4\_1},
url = {https://link.springer.com/chapter/10.1007/978-3-540-79228-4{\%5F}1},
mendeley-groups = {OHD-GAN,OHD-GAN-misc}
}
@article{Roden_2008,
title = {{Development of a Large-Scale De-Identified {DNA} Biobank to Enable Personalized Medicine}},
author = {DM Roden and JM Pulley and MA Basford and GR Bernard and EW Clayton and JR Balser and DR Masys},
year = 2008,
month = may,
journal = {Clinical Pharmacology {\&} Therapeutics},
publisher = {Springer Science and Business Media {LLC}},
volume = 84,
number = 3,
pages = {362--369},
doi = {10.1038/clpt.2008.89},
url = {https://doi.org/10.1038\%2Fclpt.2008.89}
}
@article{Ackerman2009,
title = {Personalized medicine.},
author = {Ackerman, Michael J.},
year = 2009,
journal = {The Journal of medical practice management : MPM},
volume = 25,
number = 3,
pages = {194--195},
issn = 87550229,
url = {https://www.genome.gov/genetics-glossary/Personalized-Medicine},
pmid = 20073180
}
@article{Bengio_2009,
title = {{Learning Deep Architectures for {AI}}},
author = {Y. Bengio},
year = 2009,
journal = {Foundations and Trends{\textregistered} in Machine Learning},
publisher = {Now Publishers},
volume = 2,
number = 1,
pages = {1--127},
doi = {10.1561/2200000006},
url = {https://doi.org/10.1561\%2F2200000006}
}
@article{Li2010-qq,
title = {Closeness: A New Privacy Measure for Data Publishing},
author = {Li, N and Li, T and Venkatasubramanian, S},
year = 2010,
month = jul,
journal = {IEEE Trans. Knowl. Data Eng.},
volume = 22,
number = 7,
pages = {943--956},
doi = {10.1109/tkde.2009.139},
issn = {1041-4347},
url = {http://dx.doi.org/10.1109/TKDE.2009.139}
}
@misc{biomarkers2010,
title = {What are biomarkers?},
author = {Strimbu, Kyle and Tavel, Jorge A.},
year = 2010,
month = nov,
booktitle = {Current Opinion in HIV and AIDS},
publisher = {NIH Public Access},
volume = 5,
number = 6,
pages = {463--466},
doi = {10.1097/COH.0b013e32833ed177},
issn = {1746630x},
url = {/pmc/articles/PMC3078627/?report=abstract https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3078627/},
pmid = 20978388
}
@inproceedings{Ullman2011,
title = {PCPs and the hardness of generating private synthetic data},
author = {Ullman, Jonathan and Vadhan, Salil},
year = 2011,
booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {6597 Lncs},
pages = {400--416},
doi = {10.1007/978-3-642-19571-6\_24},
isbn = 9783642195709,
issn = {03029743},
mendeley-groups = {Review-Todo,OHD-GAN-misc}
}
@inproceedings{Dankar2012-bd,
title = {The Application of Differential Privacy to Health Data},
author = {Dankar, Fida Kamal and El Emam, Khaled},
year = 2012,
month = {"30~" \# mar},
booktitle = {Proceedings of the 2012 Joint EDBT/ICDT Workshops},
location = {Berlin, Germany},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
series = {Edbt-icdt '12},
pages = {158–166},
doi = {10.1145/2320765.2320816},
isbn = 9781450311434,
url = {https://doi.org/10.1145/2320765.2320816},
numpages = 9
}
@article{Tay2013,
title = {UpSizeR: Synthetically scaling an empirical relational database},
author = {Tay, Y. C. and Dai, Bing Tian and Wang, Daniel T. and Sun, Eldora Y. and Lin, Yong and Lin, Yuting},
year = 2013,
month = nov,
journal = {Information Systems},
publisher = {Pergamon},
volume = 38,
number = 8,
pages = {1168--1183},
doi = {10.1016/j.is.2013.07.004},
issn = {03064379}
}
@article{Verwer_2013,
title = {{{PAutomaC}: a probabilistic automata and hidden Markov models learning competition}},
author = {Sicco Verwer and Remi Eyraud and Colin de~la Higuera},
year = 2013,
month = oct,
journal = {Machine Learning},
publisher = {Springer Science and Business Media {LLC}},
volume = 96,
number = {1-2},
pages = {129--154},
doi = {10.1007/s10994-013-5409-9},
url = {https://doi.org/10.1007\%2Fs10994-013-5409-9}
}
@article{VanErven2014,
title = {{R{\'{e}}nyi divergence and kullback-leibler divergence}},
author = {{Van Erven}, Tim and Harr{\"{e}}mos, Peter},
year = 2014,
journal = {IEEE Transactions on Information Theory},
volume = 60,
number = 7,
pages = {3797--3820},
doi = {10.1109/tit.2014.2320500},
issn = {00189448},
archiveprefix = {arXiv},
arxivid = {1206.2459v2},
eprint = {1206.2459v2}
}
@article{Bambauer2014-yh,
title = {Fool's gold: an illustrated critique of differential privacy},
author = {Bambauer, Jane and Muralidhar, Krishnamurty and Sarathy, Rathindra},
year = 2014,
journal = {Vanderbilt Journal of Entertainment and Technology Law},
volume = 16,
pages = {701+},
issn = {1942-678x},
url = {https://go.gale.com/ps/anonymous?id=GALE\%7CA374695855\&sid=googleScholar\&v=2.1\&it=r\&linkaccess=abs\&issn=1942678X\&p=AONE\&sw=w}
}
@incollection{goodgan,
title = {Generative Adversarial Nets},
author = {Goodfellow, Ian and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
year = 2014,
booktitle = {Advances in Neural Information Processing Systems 27},
publisher = {Curran Associates, Inc.},
pages = {2672--2680},
url = {http://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf},
editor = {Z. Ghahramani and M. Welling and C. Cortes and N. D. Lawrence and K. Q. Weinberger}
}
@inproceedings{Buda2015,
title = {ReX: Extrapolating relational data in a representative way},
author = {Buda, Teodora Sandra and Cerqueus, Thomas and Murphy, John and Kristiansen, Morten},
year = 2015,
booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
publisher = {Springer Verlag},
volume = 9147,
pages = {95--107},
doi = {10.1007/978-3-319-20424-6\_10},
isbn = 9783319204239,
issn = 16113349,
url = {https://link.springer.com/chapter/10.1007/978-3-319-20424-6{\%5F}10}
}
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title = {Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers.},
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affiliation = {Departamento de Engenharia de Produ{\c c}{\~a}o e Transportes, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil. Department of Mechanical Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran. Departamento de Engenharia Mec{\^a}nica, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil. School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, Republic of Korea.},
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title = {{{{GANITE}}: Estimation of Individualized Treatment Effects using Generative Adversarial Nets}},
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