{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T08:07:11Z","timestamp":1743062831485,"version":"3.40.3"},"publisher-location":"New York, NY","reference-count":24,"publisher":"Springer US","isbn-type":[{"type":"print","value":"9781071635605"},{"type":"electronic","value":"9781071635612"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-1-0716-3561-2_15","type":"book-chapter","created":{"date-parts":[[2024,1,2]],"date-time":"2024-01-02T13:02:21Z","timestamp":1704200541000},"page":"185-237","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Building a Binary Classification Machine-Learning Model: A Guide to Predicting Participation in a Lyme Disease Program at a Medical Institute"],"prefix":"10.1007","author":[{"given":"Kunal","family":"Garg","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liria Mitzuko","family":"Fajardo-Yamamoto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Flor Cecilia","family":"Rojas-Castro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teo","family":"Susnjak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leona","family":"Gilbert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,3]]},"reference":[{"key":"15_CR1","unstructured":"Sanoviv Medical Institute. Lyme & infectious disease. https:\/\/www.sanoviv.com\/medical-programs\/lyme-treatment-program\/. Accessed 12 Jun 2023"},{"key":"15_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The elements of statistical learning","author":"T Hastie","year":"2009","unstructured":"Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning, 2nd edn. Springer, New York","edition":"2"},{"key":"15_CR3","volume-title":"Python 3 reference manual","author":"GV Rossum","year":"2009","unstructured":"Rossum GV, Drake FL (2009) Python 3 reference manual. CreateSpace, Scotts Valley"},{"key":"15_CR4","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1038\/s41586-020-2649-2","volume":"585","author":"CR Harris","year":"2020","unstructured":"Harris CR, Millman KJ, van der Walt SJ et al (2020) Array programming with NumPy. Nature 585:357\u2013362. https:\/\/doi.org\/10.1038\/s41586-020-2649-2","journal-title":"Nature"},{"key":"15_CR5","unstructured":"The Pandas development team (2023) pandas-dev\/pandas: Pandas. Zenodo"},{"key":"15_CR6","doi-asserted-by":"crossref","unstructured":"McKinney W Data Structures for Statistical Computing in Python. In: van der Walt S, Millman J (eds) Proceedings of the 9th Python in science conference (SciPy 2010), pp 56\u201361","DOI":"10.25080\/Majora-92bf1922-00a"},{"key":"15_CR7","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/mcse.2007.55","volume":"9","author":"JD Hunter","year":"2007","unstructured":"Hunter JD (2007) Matplotlib: a 2D graphics environment. Comput Sci Eng 9:90\u201395. https:\/\/doi.org\/10.1109\/mcse.2007.55","journal-title":"Comput Sci Eng"},{"key":"15_CR8","doi-asserted-by":"publisher","unstructured":"Waskom ML (2021) Seaborn: statistical data visualization. J Open Source Softw:3021. https:\/\/doi.org\/10.21105\/joss.03021","DOI":"10.21105\/joss.03021"},{"key":"15_CR9","first-page":"2825","volume":"85","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa F, Varoquaux G, Gramfort AV et al (2011) Scikit-learn: machine learning in Python. J Mach Learn Res 85:2825\u20132830","journal-title":"J Mach Learn Res"},{"key":"15_CR10","doi-asserted-by":"publisher","first-page":"3642","DOI":"10.21105\/joss.03642","volume":"65","author":"S Galli","year":"2022","unstructured":"Galli S (2022) Feature-engine: a Python package for feature engineering for machine learning. J Open Source Softw 65:3642. https:\/\/doi.org\/10.21105\/joss.03642","journal-title":"J Open Source Softw"},{"key":"15_CR11","unstructured":"Nakano R (2017) reiinakano\/scikit-plot: v0.2.1. Zenodo"},{"key":"15_CR12","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/978-1-4842-4470-8_7","volume-title":"A comprehensive guide for beginners","author":"E Bisong","year":"2019","unstructured":"Bisong E (2019) Building machine learning and deep learning models on google cloud platform. In: A comprehensive guide for beginners, pp 59\u201364. https:\/\/doi.org\/10.1007\/978-1-4842-4470-8_7"},{"key":"15_CR13","first-page":"590","volume":"44","author":"Centers for disease control and prevention","year":"1995","unstructured":"Centers for disease control and prevention (1995) Recommendations for test performance and interpretation from the second national conference on Serologic diagnosis of Lyme disease. MMWR Morb Mortal Wkly Rep 44:590\u2013591","journal-title":"MMWR Morb Mortal Wkly Rep"},{"key":"15_CR14","doi-asserted-by":"publisher","unstructured":"Aguero-Rosenfeld ME, Wang G, Schwartz I, Wormser GP (2005) Diagnosis of Lyme Borreliosis. Clin Microbiol Rev 18:484\u2013509. https:\/\/doi.org\/10.1128\/CMR.18.3.484-509.2005","DOI":"10.1128\/CMR.18.3.484-509.2005"},{"key":"15_CR15","doi-asserted-by":"publisher","first-page":"548","DOI":"10.33314\/jnhrc.v17i4.1042","volume":"17","author":"B Shrestha","year":"2020","unstructured":"Shrestha B, Dunn L (2020) The declaration of Helsinki on medical research involving human subjects: a review of seventh revision. J Nepal Heal Res Counc 17:548\u2013552. https:\/\/doi.org\/10.33314\/jnhrc.v17i4.1042","journal-title":"J Nepal Heal Res Counc"},{"key":"15_CR16","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1111\/j.1748-720x.1991.tb01824.x","volume":"19","author":"World Medical Association","year":"1991","unstructured":"World Medical Association (1991) World Medical Association Declaration of Helsinki. Law Med Health Care 19:264\u2013265. https:\/\/doi.org\/10.1111\/j.1748-720x.1991.tb01824.x","journal-title":"Law Med Health Care"},{"key":"15_CR17","first-page":"14","volume":"81","author":"World Medical Association","year":"2014","unstructured":"World Medical Association (2014) World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. J Am Coll Dent 81:14\u201318","journal-title":"J Am Coll Dent"},{"key":"15_CR18","doi-asserted-by":"publisher","first-page":"821","DOI":"10.1109\/ubmk.2017.8093539","volume":"2017","author":"G Canbek","year":"2017","unstructured":"Canbek G, Sagiroglu S, Temizel TT, Baykal N (2017) Binary classification performance measures\/metrics. Int Conf Comput Sci Eng UBMK 2017:821\u2013826. https:\/\/doi.org\/10.1109\/ubmk.2017.8093539","journal-title":"Int Conf Comput Sci Eng UBMK"},{"key":"15_CR19","first-page":"627","volume":"4","author":"K Hajian-Tilaki","year":"2013","unstructured":"Hajian-Tilaki K (2013) Receiver Operating Characteristic (ROC) curve analysis for medical diagnostic test evaluation. Casp J Intern Med 4:627\u2013635","journal-title":"Casp J Intern Med"},{"key":"15_CR20","doi-asserted-by":"publisher","first-page":"11","DOI":"10.3348\/kjr.2004.5.1.11","volume":"5","author":"SH Park","year":"2004","unstructured":"Park SH, Goo JM, Jo C-H (2004) Receiver Operating Characteristic (ROC) curve: practical review for radiologists. Korean J Radiol 5:11\u201318. https:\/\/doi.org\/10.3348\/kjr.2004.5.1.11","journal-title":"Korean J Radiol"},{"key":"15_CR21","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1093\/clinchem\/39.4.561","volume":"39","author":"MH Zweig","year":"2019","unstructured":"Zweig MH, Campbell G (2019) Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem 39:561\u2013577. https:\/\/doi.org\/10.1093\/clinchem\/39.4.561","journal-title":"Clin Chem"},{"key":"15_CR22","doi-asserted-by":"publisher","first-page":"1276","DOI":"10.1002\/sim.7992","volume":"38","author":"RD Riley","year":"2019","unstructured":"Riley RD, Snell KI, Ensor J et al (2019) Minimum sample size for developing a multivariable prediction model: PART II \u2013 binary and time\u2010to\u2010event outcomes. Stat Med 38:1276\u20131296. https:\/\/doi.org\/10.1002\/sim.7992","journal-title":"Stat Med"},{"key":"15_CR23","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.m441","volume":"368","author":"RD Riley","year":"2020","unstructured":"Riley RD, Ensor J, Snell KIE et al (2020) Calculating the sample size required for developing a clinical prediction model. BMJ 368:m441. https:\/\/doi.org\/10.1136\/bmj.m441","journal-title":"BMJ"},{"key":"15_CR24","doi-asserted-by":"publisher","first-page":"S12","DOI":"10.1016\/j.chest.2020.03.010","volume":"158","author":"X Wang","year":"2020","unstructured":"Wang X, Ji X (2020) Sample size estimation in clinical research from randomized controlled trials to observational studies. Chest 158:S12\u2013S20. https:\/\/doi.org\/10.1016\/j.chest.2020.03.010","journal-title":"Chest"}],"container-title":["Methods in Molecular Biology","Borrelia burgdorferi"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-0716-3561-2_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,2]],"date-time":"2024-01-02T13:03:12Z","timestamp":1704200592000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-1-0716-3561-2_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9781071635605","9781071635612"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-1-0716-3561-2_15","relation":{},"ISSN":["1064-3745","1940-6029"],"issn-type":[{"type":"print","value":"1064-3745"},{"type":"electronic","value":"1940-6029"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"3 January 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}