A comparative study of machine learning classifiers for risk prediction of asthma disease

Chatzimichail, 2013, An intelligent system approach for asthma prediction in symptomatic preschool children, Comput. Math. Methods Med., 10.1155/2013/240182

Shifren, 2012, Mechanisms of remodeling in asthmatic airways, J. Allergy (Cairo), 10.1155/2012/316049

Lötvall, 2011, Asthma endotypes: a new approach to classification of disease entities within the asthma syndrome, J. Allergy Clin. Immunol., 127, 355, 10.1016/j.jaci.2010.11.037

Moore, 2010, Identification of asthma phenotypes using cluster analysis in the severe asthma research program, Am. J. Respir. Crit. Care Med., 181, 315, 10.1164/rccm.200906-0896OC

Barnes, 1998, Inflammatory mediators of asthma: an update, Pharmacol. Rev., 50, 515, 10.1124/pr.56.4.2

Ullah, 2019, Demonstrating the application of Raman spectroscopy together with chemometric technique for screening of asthma disease, Biomed. Opt. Express, 10, 600, 10.1364/BOE.10.000600

Vos, 2017, Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016, Lancet, 390, 1211, 10.1016/S0140-6736(17)32154-2

Loftus, 2016, Epidemiology of asthma, Curr. Opin. Otolaryngol. Head Neck Surg., 24, 245, 10.1097/MOO.0000000000000262

Castro-Rodriguez, 2008, Mediterranean diet as a protective factor for wheezing in preschool children, J. Pediatr., 152, 823, 10.1016/j.jpeds.2008.01.003

Fahy, 2015, Type 2 inflammations in asthma—present in most, absent in many, Nat. Rev. Immunol., 15, 57, 10.1038/nri3786

Li, 2017, An ensemble multilabel classification for disease risk prediction, J. Healthc. Eng., 10.1155/2017/8051673

Castro-Rodriguez, 2011, The asthma predictive index remains a useful tool to predict asthma in young children with recurrent wheeze in clinical practice, J. Allergy Clin. Immunol., 127, 1082, 10.1016/j.jaci.2011.01.024

Panazzolo, 2012, Obesity, metabolic syndrome, impaired fasting glucose, and microvascular dysfunction: a principal component analysis approach, BMC Cardiovasc. Disord., 12, 102, 10.1186/1471-2261-12-102

Helmy, 2012, Principal component analysis of the cytokine and chemokine response to human traumatic brain injury, PLoS One, 7, 39677, 10.1371/journal.pone.0039677

Sakr, 2017, Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project, BMC Med. Inform. Decis. Mak., 17, 174, 10.1186/s12911-017-0566-6

Finkelstein, 2017, Machine learning approaches to personalize early prediction of asthma exacerbations, Ann. N. Y. Acad. Sci., 1387, 153, 10.1111/nyas.13218

Vashi, 2017, A comparative study of classification algorithms for diseases prediction in medical domain, Asian J. Convergence Technol., 3

Sanchez-Morillo, 2016, Use of predictive algorithms in-home monitoring of chronic obstructive pulmonary disease and asthma: a systematic review, Chron. Respir. Dis., 13, 264, 10.1177/1479972316642365

Bilal, 2017, Lactate based optical screening of dengue virus infection in human sera using Raman spectroscopy, Biomed. Opt. Express, 8, 1250, 10.1364/BOE.8.001250

Ullah, 2016, Hassan Mahmood computer assisted optical screening of human ovarian cancer using Raman spectroscopy, J. Photodiagn. Photodyn. Ther., 15, 94, 10.1016/j.pdpdt.2016.05.011

Khan, 2018, Analysis of tuberculosis disease through Raman spectroscopy and machine learning, J. Photodiagn. Photodyn. Ther., 24, 286, 10.1016/j.pdpdt.2018.10.014

Arora, 2002, Vitamin A status in children with asthma, Pediatr. Allergy Immunol., 13, 223, 10.1034/j.1399-3038.2002.00010.x

De Gelder, 2007, Reference database of Raman spectra of biological molecules, J. Raman Spectrosc., 38, 1133, 10.1002/jrs.1734

Neumann, 2007, Evaluation of serum L-phenylalanine concentration as Indicator of liver disease in dogs: a pilot study, J. Am. Anim. Hosp. Assoc., 43, 193, 10.5326/0430193

James, 1979, Hyperammonaemia, plasma aminoacid imbalance, and blood-brain aminoacid transport: a unified theory of portalsystemic encephalopathy, Lancet, 314, 772, 10.1016/S0140-6736(79)92119-6

Ullah, 2018, Raman spectroscopy combined with a support vector machine for differentiating between feeding male and female infants mother’s milk, Biomed. Opt. Express, 9, 844, 10.1364/BOE.9.000844

Morabia, 1990, Serum retinol and airway obstruction, Am. J. Epidemiol., 132, 77, 10.1093/oxfordjournals.aje.a115645

Al-Senaidy, 2009, Serum vitamin a and β-Carotene levels in children with asthma, J. Asthma, 46, 699, 10.1080/02770900903056195

Krafft, 2017, A specific spectral signature of serum and plasma-derived extracellular vesicles for cancer screening, Nanomed. Lond., 13, 835, 10.1016/j.nano.2016.11.016