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references.bib
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%% This BibTeX bibliography file was created using BibDesk.
%% https://bibdesk.sourceforge.io/
%% Created for Thet Nyein at 2021-12-15 01:26:26 -0700
%% Saved with string encoding Unicode (UTF-8)
@manual{stepAIC,
address = {Vienna, Austria},
author = {R: A Language and Environment for Statistical Computing},
date-added = {2021-12-15 01:25:16 -0700},
date-modified = {2021-12-15 01:26:12 -0700},
organization = {R Foundation for Statistical Computing},
title = {stepAIC: Choose a model by AIC in a Stepwise Algorithm}}
@book{fuelsystem,
author = {Bahadori, Alireza},
date-added = {2021-12-15 00:41:21 -0700},
date-modified = {2021-12-15 00:44:17 -0700},
keywords = {Petroleum refineries; Electronic books},
publisher = {Amsterdam, Netherlands : Gulf Professional Publishing},
title = {Essentials of oil and gas utilities : process design, equipment, and operations},
year = {2016}}
@electronic{engine_cylinder,
author = {Ray Hasbollah},
date-added = {2021-12-15 00:22:15 -0700},
date-modified = {2021-12-15 00:30:39 -0700},
keywords = {engine type of cars},
lastchecked = {2021-12-15},
title = {Different Types of Car Engines},
url = {https://carpart.com.au/blog/technical/different-types-of-car-engines},
urldate = {2020-07-13},
year = {2020},
bdsk-url-1 = {https://carpart.com.au/blog/technical/different-types-of-car-engines}}
@book{GLMintroduction,
author = {Dobson, Annette J and Barnett, Adrian G},
publisher = {CRC press},
title = {An introduction to generalized linear models},
year = {2018}}
@article{mehta2006gender,
author = {Mehta, PA and Cowie, Martin R},
journal = {Heart},
number = {suppl 3},
pages = {iii14--iii18},
publisher = {BMJ Publishing Group Ltd},
title = {Gender and heart failure: a population perspective},
volume = {92},
year = {2006}}
@article{stromberg2003gender,
author = {Str{\"o}mberg, Anna and M{\aa}rtensson, Jan},
journal = {European Journal of Cardiovascular Nursing},
number = {1},
pages = {7--18},
publisher = {Oxford University Press},
title = {Gender differences in patients with heart failure},
volume = {2},
year = {2003}}
@article{virani2020heart,
author = {Virani, Salim S and Alonso, Alvaro and Benjamin, Emelia J and Bittencourt, Marcio S and Callaway, Clifton W and Carson, April P and Chamberlain, Alanna M and Chang, Alexander R and Cheng, Susan and Delling, Francesca N and others},
journal = {Circulation},
number = {9},
pages = {e139--e596},
publisher = {Am Heart Assoc},
title = {Heart disease and stroke statistics---2020 update: a report from the American Heart Association},
volume = {141},
year = {2020}}
@article{Heartchest,
author = {Canto, John G. and Shlipak, Michael G. and Rogers, William J. and Malmgren, Judith A. and Frederick, Paul D. and Lambrew, Costas T. and Ornato, Joseph P. and Barron, Hal V. and Kiefe, Catarina I.},
doi = {10.1001/jama.283.24.3223},
eprint = {https://jamanetwork.com/journals/jama/articlepdf/192825/joc00166.pdf},
issn = {0098-7484},
journal = {JAMA},
month = {06},
number = {24},
pages = {3223-3229},
title = {{Prevalence, Clinical Characteristics, and Mortality Among Patients With Myocardial Infarction Presenting Without Chest Pain}},
url = {https://doi.org/10.1001/jama.283.24.3223},
volume = {283},
year = {2000},
bdsk-url-1 = {https://doi.org/10.1001/jama.283.24.3223}}
@article{benjamin2019heart,
author = {Benjamin, Emelia J and Muntner, Paul and Alonso, Alvaro and Bittencourt, Marcio S and Callaway, Clifton W and Carson, April P and Chamberlain, Alanna M and Chang, Alexander R and Cheng, Susan and Das, Sandeep R and others},
journal = {Circulation},
number = {10},
pages = {e56--e528},
publisher = {Am Heart Assoc},
title = {Heart disease and stroke statistics---2019 update: a report from the American Heart Association},
volume = {139},
year = {2019}}
@inproceedings{palaniappan2008intelligent,
author = {Palaniappan, Sellappan and Awang, Rafiah},
booktitle = {2008 IEEE/ACS international conference on computer systems and applications},
organization = {IEEE},
pages = {108--115},
title = {Intelligent heart disease prediction system using data mining techniques},
year = {2008}}
@manual{R-base,
address = {Vienna, Austria},
author = {{R Core Team}},
organization = {R Foundation for Statistical Computing},
title = {R: A Language and Environment for Statistical Computing},
url = {https://www.R-project.org/},
year = {2016},
bdsk-url-1 = {https://www.R-project.org/}}
@online{heartdata,
author = {Federico Soriano Palacios},
title = {Heart Failure Prediction},
url = {https://www.kaggle.com/fedesoriano/heart-failure-prediction},
bdsk-url-1 = {https://www.kaggle.com/fedesoriano/heart-failure-prediction}}
@online{carprice,
author = {Manish Kumar},
title = {Car Price Prediction},
url = {https://www.kaggle.com/hellbuoy/car-price-prediction},
bdsk-url-1 = {https://www.kaggle.com/hellbuoy/car-price-prediction}}
@online{carmarketUSA,
author = {International Trade Administration's Industry & Analysis Unit (I&A)},
title = {The Automotive Industry in the United States},
url = {https://www.selectusa.gov/automotive-industry-united-states},
bdsk-url-1 = {https://www.selectusa.gov/automotive-industry-united-states}}
@online{electricmarket,
author = {Mark Kane},
title = {US: All-Electric Car Market Share Expands To 2.5% In H1 2021},
url = {https://insideevs.com/news/526699/us-electric-car-registrations-2021h1/},
bdsk-url-1 = {https://insideevs.com/news/526699/us-electric-car-registrations-2021h1/}}
@online{HeartFailure,
author = {National Heart, Lung, and Blood Institute, National Institute of Health (NIH)},
title = {Heart Failure},
url = {https://www.nhlbi.nih.gov/health-topics/heart-failure},
bdsk-url-1 = {https://www.nhlbi.nih.gov/health-topics/heart-failure}}
@online{Wheelbase,
author = {Wikipedia},
title = {Wheelbase},
url = {https://en.wikipedia.org/wiki/Wheelbase},
bdsk-url-1 = {https://en.wikipedia.org/wiki/Wheelbase}}
@online{Angina,
author = "Harvard Health Publishing, Harvard Medical School",
title = "Angina: Symptoms, diagnosis and treatments",
url = "https://www.health.harvard.edu/heart-health/angina-symptoms-diagnosis-and-treatments",
bdsk-url-1 = {https://www.health.harvard.edu/heart-health/angina-symptoms-diagnosis-and-treatments}
}
@article{ROC,
title = {An introduction to ROC analysis},
journal = {Pattern Recognition Letters},
volume = {27},
number = {8},
pages = {861-874},
year = {2006},
note = {ROC Analysis in Pattern Recognition},
issn = {0167-8655},
doi = {https://doi.org/10.1016/j.patrec.2005.10.010},
url = {https://www.sciencedirect.com/science/article/pii/S016786550500303X},
author = {Tom Fawcett},
keywords = {ROC analysis, Classifier evaluation, Evaluation metrics},
abstract = {Receiver operating characteristics (ROC) graphs are useful for organizing classifiers and visualizing their performance. ROC graphs are commonly used in medical decision making, and in recent years have been used increasingly in machine learning and data mining research. Although ROC graphs are apparently simple, there are some common misconceptions and pitfalls when using them in practice. The purpose of this article is to serve as an introduction to ROC graphs and as a guide for using them in research.}
}
@misc{scikit,
title={Receiver operating characteristic (ROC)},
url={https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html}, journal={scikit}
}
@article{walker2016nine,
title={Nine pseudo R2 indices for binary logistic regression models},
author={Walker, David A and Smith, Thomas J},
journal={Journal of Modern Applied Statistical Methods},
volume={15},
number={1},
pages={848--854},
year={2016}
}
@article{wagenmakers2004aic,
title={AIC model selection using Akaike weights},
author={Wagenmakers, Eric-Jan and Farrell, Simon},
journal={Psychonomic bulletin \& review},
volume={11},
number={1},
pages={192--196},
year={2004},
publisher={Springer}
}
@Inbook{Akaike1998,
author="Akaike, Hirotogu",
editor="Parzen, Emanuel
and Tanabe, Kunio
and Kitagawa, Genshiro",
title="Information Theory and an Extension of the Maximum Likelihood Principle",
bookTitle="Selected Papers of Hirotugu Akaike",
year="1998",
publisher="Springer New York",
address="New York, NY",
pages="199--213",
abstract="In this paper it is shown that the classical maximum likelihood principle can be considered to be a method of asymptotic realization of an optimum estimate with respect to a very general information theoretic criterion. This observation shows an extension of the principle to provide answers to many practical problems of statistical model fitting.",
isbn="978-1-4612-1694-0",
doi="10.1007/978-1-4612-1694-0_15",
url="https://doi.org/10.1007/978-1-4612-1694-0_15"
}
@article{kasza2015stata,
title={Stata tip 125: Binned residual plots for assessing the fit of regression models for binary outcomes},
author={Kasza, Jessica},
journal={The Stata Journal},
volume={15},
number={2},
pages={599--604},
year={2015},
publisher={SAGE Publications Sage CA: Los Angeles, CA}
}