360 lines
14 KiB
BibTeX
360 lines
14 KiB
BibTeX
% bci-paper.bib — Beyond Comorbidity Indices
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% BibLaTeX format. References for the "Deep Learning of Diagnosis Codes
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% for Readmission and Postdischarge Mortality Prediction" manuscript.
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% Numbered order matches the docx reference list.
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@misc{cms_hrrp,
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author = {{Centers for Medicare \& Medicaid Services}},
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title = {Hospital Readmissions Reduction Program ({HRRP})},
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url = {https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/hospital-readmissions-reduction-program-hrrp}
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}
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@article{charlson1987,
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|
author = {Charlson, M. E. and Pompei, P. and Ales, K. L. and MacKenzie, C. R.},
|
|
title = {A new method of classifying prognostic comorbidity in longitudinal studies: development and validation},
|
|
journal = {Journal of Chronic Diseases},
|
|
year = {1987},
|
|
volume = {40},
|
|
number = {5},
|
|
pages = {373--383}
|
|
}
|
|
|
|
@article{elixhauser1998,
|
|
author = {Elixhauser, A. and Steiner, C. and Harris, D. R. and Coffey, R. M.},
|
|
title = {Comorbidity measures for use with administrative data},
|
|
journal = {Medical Care},
|
|
year = {1998},
|
|
volume = {36},
|
|
number = {1},
|
|
pages = {8--27}
|
|
}
|
|
|
|
@article{deschepper2020,
|
|
author = {Deschepper, Mathieu and Eeckloo, Kristof and Vogelaers, Dominique and Waegeman, Willem},
|
|
title = {Using structured pathology data to predict hospital-wide mortality at admission},
|
|
journal = {PLoS One},
|
|
year = {2020},
|
|
volume = {15},
|
|
number = {6},
|
|
pages = {e0235117}
|
|
}
|
|
|
|
@article{lelay2022,
|
|
author = {Le Lay, Jonathan and Martin, Sylvain and Mosnier, Arnaud and others},
|
|
title = {Prediction of hospital readmission of multimorbid patients using machine learning models},
|
|
journal = {PLoS One},
|
|
year = {2022},
|
|
volume = {17},
|
|
number = {12},
|
|
pages = {e0279433}
|
|
}
|
|
|
|
@article{qiao2022,
|
|
author = {Qiao, Edmund M. and Deng, Jie and Kluger, Harvey M. and Yu, James B. and Gross, Cary P.},
|
|
title = {Evaluating High-Dimensional Machine Learning Models to Predict Hospital Mortality Among Older Patients With Cancer},
|
|
journal = {JCO Clinical Cancer Informatics},
|
|
year = {2022},
|
|
volume = {6},
|
|
pages = {e2100186}
|
|
}
|
|
|
|
@article{davis2022,
|
|
author = {Davis, Steve and Borah, Michael F. and Hansen, Justin and Malin, Bradley and Robinson, Jonathan and Turchin, Alexander},
|
|
title = {Effective hospital readmission prediction models using machine-learned features},
|
|
journal = {BMC Health Services Research},
|
|
year = {2022},
|
|
volume = {22},
|
|
number = {1},
|
|
pages = {1415}
|
|
}
|
|
|
|
@article{harerimana2021,
|
|
author = {Harerimana, Gaspard and Kim, Jong Wook and Jang, Beakcheol},
|
|
title = {A deep attention model to forecast the Length Of Stay and the in-hospital mortality right on admission from {ICD} codes and demographic data},
|
|
journal = {Journal of Biomedical Informatics},
|
|
year = {2021},
|
|
volume = {118},
|
|
pages = {103778}
|
|
}
|
|
|
|
@article{matsui2022,
|
|
author = {Matsui, Hiroki and Yasunaga, Hideo and Fushimi, Kiyohide and Homma, Yuichi},
|
|
title = {Development of Deep Learning Models for Predicting In-Hospital Mortality Using an Administrative Claims Database: Retrospective Cohort Study},
|
|
journal = {JMIR Medical Informatics},
|
|
year = {2022},
|
|
volume = {10},
|
|
number = {2},
|
|
pages = {e27936}
|
|
}
|
|
|
|
@article{nguyen2017,
|
|
author = {Nguyen, Phuoc and Tran, Truyen and Wickramasinghe, Nilmini and Venkatesh, Svetha},
|
|
title = {{Deepr}: A Convolutional Net for Medical Records},
|
|
journal = {IEEE Journal of Biomedical and Health Informatics},
|
|
year = {2017},
|
|
volume = {21},
|
|
number = {1},
|
|
pages = {22--30}
|
|
}
|
|
|
|
@misc{ahrq_elixhauser,
|
|
author = {{Agency for Healthcare Research and Quality}},
|
|
title = {Elixhauser Comorbidity Software Refined for {ICD-10-CM}},
|
|
url = {https://www.hcup-us.ahrq.gov/toolssoftware/comorbidityicd10/comorbidity_icd10.jsp}
|
|
}
|
|
|
|
@article{fernando2019,
|
|
author = {Fernando, Dulith T. and Berecki-Gisolf, Janneke and Newstead, Stuart and Ansari, Zul},
|
|
title = {Effect of comorbidity on injury outcomes: a review of existing indices},
|
|
journal = {Annals of Epidemiology},
|
|
year = {2019},
|
|
volume = {36},
|
|
pages = {5--14}
|
|
}
|
|
|
|
@article{quan2005,
|
|
author = {Quan, Hude and Sundararajan, Vijaya and Halfon, Patricia and others},
|
|
title = {Coding algorithms for defining comorbidities in {ICD-9-CM} and {ICD-10} administrative data},
|
|
journal = {Medical Care},
|
|
year = {2005},
|
|
volume = {43},
|
|
number = {11},
|
|
pages = {1130--1139}
|
|
}
|
|
|
|
@article{deyo1992,
|
|
author = {Deyo, Richard A. and Cherkin, Daniel C. and Ciol, Marcia A.},
|
|
title = {Adapting a clinical comorbidity index for use with {ICD-9-CM} administrative databases},
|
|
journal = {Journal of Clinical Epidemiology},
|
|
year = {1992},
|
|
volume = {45},
|
|
number = {6},
|
|
pages = {613--619}
|
|
}
|
|
|
|
@article{quan2011,
|
|
author = {Quan, Hude and Li, Bing and Couris, Chantal M. and others},
|
|
title = {Updating and validating the {Charlson} comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries},
|
|
journal = {American Journal of Epidemiology},
|
|
year = {2011},
|
|
volume = {173},
|
|
number = {6},
|
|
pages = {676--682}
|
|
}
|
|
|
|
@misc{stagg2006,
|
|
author = {Stagg, Vince},
|
|
title = {{CHARLSON}: {Stata} module to calculate {Charlson} index of comorbidity},
|
|
year = {2006},
|
|
publisher = {Boston College Department of Economics}
|
|
}
|
|
|
|
@inproceedings{zaheer2017,
|
|
author = {Zaheer, Manzil and Kottur, Satwik and Ravanbakhsh, Siamak and Poczos, Barnabas and Salakhutdinov, Ruslan and Smola, Alexander},
|
|
title = {Deep Sets},
|
|
booktitle = {Advances in Neural Information Processing Systems},
|
|
year = {2017},
|
|
volume = {30}
|
|
}
|
|
|
|
@inproceedings{pozzolo2015,
|
|
author = {Dal Pozzolo, Andrea and Caelen, Olivier and Johnson, Reid A. and Bontempi, Gianluca},
|
|
title = {Calibrating Probability with Undersampling for Unbalanced Classification},
|
|
booktitle = {2015 {IEEE} Symposium Series on Computational Intelligence},
|
|
year = {2015},
|
|
pages = {159--166}
|
|
}
|
|
|
|
@inproceedings{abadi2016,
|
|
author = {Abadi, Mart{\'i}n and Barham, Paul and Chen, Jianmin and Chen, Zhifeng and Davis, Andy and Dean, Jeffrey and Devin, Matthieu and Ghemawat, Sanjay and Irving, Geoffrey and Isard, Michael and Kudlur, Manjunath and Levenberg, Josh and Monga, Rajat and Moore, Sherry and Murray, Derek G. and Steiner, Benoit and Tucker, Paul and Vasudevan, Vijay and Warden, Pete and Wicke, Martin and Yu, Yuan and Zheng, Xiaoqiang},
|
|
title = {{TensorFlow}: A System for Large-Scale Machine Learning},
|
|
booktitle = {Proceedings of the 12th {USENIX} Symposium on Operating Systems Design and Implementation},
|
|
year = {2016},
|
|
pages = {265--283}
|
|
}
|
|
|
|
@article{youden1950,
|
|
author = {Youden, W. J.},
|
|
title = {Index for rating diagnostic tests},
|
|
journal = {Cancer},
|
|
year = {1950},
|
|
volume = {3},
|
|
number = {1},
|
|
pages = {32--35}
|
|
}
|
|
|
|
@article{delong1988,
|
|
author = {DeLong, Elizabeth R. and DeLong, David M. and Clarke-Pearson, Daniel L.},
|
|
title = {Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach},
|
|
journal = {Biometrics},
|
|
year = {1988},
|
|
volume = {44},
|
|
number = {3},
|
|
pages = {837--845}
|
|
}
|
|
|
|
@inproceedings{sundararajan2017,
|
|
author = {Sundararajan, Mukund and Taly, Ankur and Yan, Qiqi},
|
|
title = {Axiomatic Attribution for Deep Networks},
|
|
booktitle = {Proceedings of the 34th International Conference on Machine Learning},
|
|
year = {2017},
|
|
pages = {3319--3328}
|
|
}
|
|
|
|
@article{placido2023,
|
|
author = {Placido, Davide and Yuan, Bo and Hjaltelin, Jessica X. and Zheng, Chunlei and Haue, Amalie D. and Chmura, Piotr J. and Yuan, Chen and Kim, Jihye and Umeton, Renato and Antell, Gregory and Chowdhury, Alexander and Franz, Alexandra and Brais, Lauren and Andrews, Elizabeth and Marks, Debora S. and Regev, Aviv and Ayandeh, Siamack and Brophy, Mary T. and Do, Nhan V. and Kraft, Peter and Wolpin, Brian M. and Rosenthal, Michael H. and Fillmore, Nathanael R. and Brunak, S{\o}ren and Sander, Chris},
|
|
title = {A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories},
|
|
journal = {Nature Medicine},
|
|
year = {2023},
|
|
volume = {29},
|
|
number = {5},
|
|
pages = {1113--1122}
|
|
}
|
|
|
|
@article{davis2020,
|
|
author = {Davis, Sharon E. and Greevy, Robert A. and Fonnesbeck, Christopher and Lasko, Thomas A. and Walsh, Colin G. and Matheny, Michael E.},
|
|
title = {Detection of calibration drift in clinical prediction models to inform model updating},
|
|
journal = {Journal of Biomedical Informatics},
|
|
year = {2020},
|
|
volume = {112},
|
|
pages = {103611}
|
|
}
|
|
|
|
@article{collins2024,
|
|
author = {Collins, Gary S. and Dhiman, Paula and Ma, Jie and Schlussel, Michael M. and Archer, Lucinda and Van Calster, Ben and Harrell, Frank E. and Martin, Glen P. and Moons, Karel G. M. and van Smeden, Maarten and Sperrin, Matthew and Bullock, Garrett S. and Riley, Richard D.},
|
|
title = {Evaluation of clinical prediction models (part 1): from development to external validation},
|
|
journal = {BMJ},
|
|
year = {2024},
|
|
volume = {384},
|
|
pages = {e074819}
|
|
}
|
|
|
|
@article{morgan2019,
|
|
author = {Morgan, Daniel J. and Bame, Bill and Zimand, Paul and Dooley, Patricia and Thom, Kerri A. and Harris, Anthony D. and Bentzen, S{\o}ren and Ettinger, Walter and Garrett-Ray, Stacy D. and Tracy, J. Kathleen and Liang, Yuanyuan},
|
|
title = {Assessment of Machine Learning vs Standard Prediction Rules for Predicting Hospital Readmissions},
|
|
journal = {JAMA Network Open},
|
|
year = {2019},
|
|
volume = {2},
|
|
number = {3},
|
|
pages = {e190348}
|
|
}
|
|
|
|
@article{beam2018,
|
|
author = {Beam, Andrew L. and Kohane, Isaac S.},
|
|
title = {Big Data and Machine Learning in Health Care},
|
|
journal = {JAMA},
|
|
year = {2018},
|
|
volume = {319},
|
|
number = {13},
|
|
pages = {1317--1318}
|
|
}
|
|
|
|
@article{rajkomar2018,
|
|
author = {Rajkomar, Alvin and Oren, Eyal and Chen, Kai and Dai, Andrew M. and Hajaj, Nissan and Hardt, Michaela and Liu, Peter J. and Liu, Xiaobing and Marcus, Jake and Sun, Mimi and Sundberg, Patrik and Yee, Hector and Zhang, Kun and Zhang, Yi and Flores, Gerardo and Duggan, Gavin E. and Irvine, Jamie and Le, Quoc and Litsch, Kurt and Mossin, Alexander and Tansuwan, Justin and Wang, De and Wexler, James and Wilson, Jimbo and Ludwig, Dana and Volchenboum, Samuel L. and Chou, Katherine and Pearson, Michael and Madabushi, Srinivasan and Shah, Nigam H. and Butte, Atul J. and Howell, Michael D. and Cui, Claire and Corrado, Greg S. and Dean, Jeffrey},
|
|
title = {Scalable and accurate deep learning with electronic health records},
|
|
journal = {npj Digital Medicine},
|
|
year = {2018},
|
|
volume = {1},
|
|
pages = {18}
|
|
}
|
|
|
|
@article{rudin2019,
|
|
author = {Rudin, Cynthia},
|
|
title = {Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead},
|
|
journal = {Nature Machine Intelligence},
|
|
year = {2019},
|
|
volume = {1},
|
|
number = {5},
|
|
pages = {206--215}
|
|
}
|
|
|
|
@article{hansen2011,
|
|
author = {Hansen, Luke O. and Young, Robert S. and Hinami, Keiki and Leung, Albert and Williams, Mark V.},
|
|
title = {Interventions to reduce 30-day rehospitalization: a systematic review},
|
|
journal = {Annals of Internal Medicine},
|
|
year = {2011},
|
|
volume = {155},
|
|
number = {8},
|
|
pages = {520--528}
|
|
}
|
|
|
|
@article{coleman2006,
|
|
author = {Coleman, Eric A. and Parry, Carla and Chalmers, Sandra and Min, Sung-joon},
|
|
title = {The care transitions intervention: results of a randomized controlled trial},
|
|
journal = {Archives of Internal Medicine},
|
|
year = {2006},
|
|
volume = {166},
|
|
number = {17},
|
|
pages = {1822--1828}
|
|
}
|
|
|
|
@article{joynt2013,
|
|
author = {Joynt, Karen E. and Jha, Ashish K.},
|
|
title = {Characteristics of hospitals receiving penalties under the {Hospital Readmissions Reduction Program}},
|
|
journal = {JAMA},
|
|
year = {2013},
|
|
volume = {309},
|
|
number = {4},
|
|
pages = {342--343}
|
|
}
|
|
|
|
@article{desai2016,
|
|
author = {Desai, Nihar R. and Ross, Joseph S. and Kwon, Jin Yul and others},
|
|
title = {Association Between Hospital Penalty Status Under the {Hospital Readmission Reduction Program} and Readmission Rates for Target and Nontarget Conditions},
|
|
journal = {JAMA},
|
|
year = {2016},
|
|
volume = {316},
|
|
number = {24},
|
|
pages = {2647--2656}
|
|
}
|
|
|
|
@article{zuckerman2017,
|
|
author = {Zuckerman, Rachael B. and Sheingold, Steven H. and Orav, E. John and Ruhter, Jordan and Epstein, Arnold M.},
|
|
title = {Effect of a Hospital-wide Measure on the Readmissions Reduction Program},
|
|
journal = {New England Journal of Medicine},
|
|
year = {2017},
|
|
volume = {377},
|
|
number = {16},
|
|
pages = {1551--1558}
|
|
}
|
|
|
|
@article{obermeyer2019,
|
|
author = {Obermeyer, Ziad and Powers, Brian and Vogeli, Christine and Mullainathan, Sendhil},
|
|
title = {Dissecting racial bias in an algorithm used to manage the health of populations},
|
|
journal = {Science},
|
|
year = {2019},
|
|
volume = {366},
|
|
number = {6464},
|
|
pages = {447--453}
|
|
}
|
|
|
|
@article{kind2014,
|
|
author = {Kind, Amy J. H. and Jencks, Stephen and Brock, Jim and others},
|
|
title = {Neighborhood socioeconomic disadvantage and 30-day rehospitalization: a retrospective cohort study},
|
|
journal = {Annals of Internal Medicine},
|
|
year = {2014},
|
|
volume = {161},
|
|
number = {11},
|
|
pages = {765--774}
|
|
}
|
|
|
|
@article{joynt2011,
|
|
author = {Joynt, Karen E. and Orav, E. John and Jha, Ashish K.},
|
|
title = {Thirty-day readmission rates for {Medicare} beneficiaries by race and site of care},
|
|
journal = {JAMA},
|
|
year = {2011},
|
|
volume = {305},
|
|
number = {7},
|
|
pages = {675--681}
|
|
}
|
|
|
|
@article{collins2015,
|
|
author = {Collins, Gary S. and Reitsma, Johannes B. and Altman, Douglas G. and Moons, Karel G. M.},
|
|
title = {Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis ({TRIPOD}): the {TRIPOD} statement},
|
|
journal = {Annals of Internal Medicine},
|
|
year = {2015},
|
|
volume = {162},
|
|
number = {1},
|
|
pages = {55--63}
|
|
}
|