Hilbert M. Big Data for development: a review of promises and challenges. Dev Policy Rev. 2016;34:135–74. https://doi.org/10.1111/dpr.1214.
Weintraub WS. Role of Big Data in cardiovascular research. J Am Heart Assoc. 2019;8(14):e012791. https://doi.org/10.1161/JAHA.119.012791.
Article PubMed PubMed Central Google Scholar
De Mauro A, Greco M, Grimaldi M. A formal definition of Big Data based on its essential features. Libr Rev. 2016;65:122 – 35. https://doi.org/10.1108/LR-06-2015-0061.
Silverman EK, Schmidt HHHW, Anastasiadou E, Altucci L, Angelini M, Badimon L, Balligand JL, Benincasa G, Capasso G, Conte F, Di Costanzo A, Farina L, Fiscon G, Gatto L, Gentili M, Loscalzo J, Marchese C, Napoli C, Paci P, Petti M, Quackenbush J, Tieri P, Viggiano D, Vilahur G, Glass K, Baumbach J. Molecular networks in Network Medicine: Development and applications. Wiley Interdiscip Rev Syst Biol Med. 2020;12(6):e1489. https://doi.org/10.1002/wsbm.1489).
Article PubMed PubMed Central Google Scholar
Xiong W, Yu Z, Bei Z, Zhao J, Zhang F, Zou Y, et al. A characterization of big data benchmarks. IEEE International Conference on Big Data. 2013; pp. 118–125. https://doi.org/10.1109/BigData.2013.6691707.
Weintraub WS, Fahed AC, Rumsfeld JS. Translational medicine in the era of big data and machine learning. Circ Res. 2018;123(11):1202–4. https://doi.org/10.1161/CIRCRESAHA.118.313944.
Article PubMed CAS Google Scholar
Frizzell JD, Liang L, Schulte PJ, Yancy CW, Heidenreich PA, Hernandez AF, Bhatt DL, Fonarow GC, Laskey WK. Prediction of 30-day all-cause readmissions in patients hospitalized for heart failure: comparison of machine learning and other statistical approaches. JAMA Cardiol. 2017;2(2):204–9. https://doi.org/10.1001/jamacardio.2016.3956.
Shahian DM, Silverstein T, Lovett AF, Wolf RE, Normand SL. Comparison of clinical and administrative data sources for hospital coronary artery bypass graft surgery report cards. Circulation. 2007;115(12):1518–27. https://doi.org/10.1161/CIRCULATIONAHA.106.633008.
Harvey H, Glocker B. A standardized approach for preparing imaging data for machine learning tasks in radiology. New York: Springer; 2019. p. 61–72. https://doi.org/10.1007/978-3-319-94878-2.
Telenti A, Lippert C, Chang PC, DePristo M. Deep learning of genomic variation and regulatory network data. Hum Mol Genet. 2018;27:R63– R71. https://doi.org/10.1093/hmg/ddy115.
Article PubMed PubMed Central CAS Google Scholar
Tcheng JE, Kelly J, Wosik J. Big Data: When and How Will it Impact Interventional Cardiology? ACC 2019; Expert Analysis.
Mansueto G, Benincasa G, Della Mura N, Nicoletti GF, Napoli C. Epigenetic-sensitive liquid biomarkers and personalised therapy in advanced heart failure: a focus on cell-free DNA and microRNAs. J Clin Pathol. 2020 Sep;73(9):535–43. https://doi.org/10.1136/jclinpath-2019-206404.
Article PubMed CAS Google Scholar
Vietri MT, D’Elia G, Benincasa G, Ferraro G, Caliendo G, Nicoletti GF, Napoli C. DNA methylation and breast cancer: a way forward (Review). Int J Oncol. 2021 Nov;59(5):98. https://doi.org/10.3892/ijo.2021.5278.
Article PubMed CAS Google Scholar
Martin J. Big data, big future. Biotechniques. 2020 Apr;68(4):166–8. https://doi.org/10.2144/btn-2020-0027.
Article PubMed CAS Google Scholar
Vietri MT, Molinari AM, Caliendo G, De Paola ML, Giovanna D, Gambardella AL, Petronella P, Cioffi M. Double heterozygosity in the BRCA1 and BRCA2 genes in Italian family. ClinChem Lab Med. 2013 Dec;51(12):2319–24. https://doi.org/10.1515/cclm-2013-0263.
Vietri MT, Caliendo G, Casamassimi A, Cioffi M, De Paola ML, Napoli N, Molinari AM. A novel PALB2 truncating mutation in an Italian family with male breast cancer. Oncol Rep. 2015;33(3):1243–7. https://doi.org/10.3892/or.2014.3685.
Article PubMed CAS Google Scholar
Sarno F, Benincasa G, List M, Barabasi AL, Baumbach J, Ciardiello F, Filetti S, Glass K, Loscalzo J, Marchese C, Maron BA, Paci P, Parini P, Petrillo E, SilvermanEK, Verrienti A, Altucci L, Napoli C. International Network Medicine Consortium. Clinical epigenetics settings for cancer and cardiovascular diseases: real-life applications of network medicine at the bedside. Clin Epigenetics. 2021;13(1):66. https://doi.org/10.1186/s13148-021-01047-z.).
Schiano C, Benincasa G, Franzese M, Della Mura N, Pane K, Salvatore M, Napoli C. Epigenetic-sensitive pathways in personalized therapy of major cardiovascular diseases. Pharmacol Ther. 2020;210:107514. https://doi.org/10.1016/j.pharmthera.2020.107514.
Article PubMed CAS Google Scholar
Khera AV, Chaffin M, Aragam KG, Haas ME, Roselli C, Choi SH, Natarajan P, Lander ES, Lubitz SA, Ellinor PT, Kathiresan S. Genomewide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat Genet. 2018;50:1219–24. https://doi.org/10.1038/s41588-018-0183-z.
Article PubMed PubMed Central CAS Google Scholar
Weng LC, Preis SR, Hulme OL, Larson MG, Choi SH, Wang B, Trinquart L, McManus DD, Staerk L, Lin H, Lunetta KL, Ellinor PT, Benjamin EJ, Lubitz SA. Genetic predisposition, clinical risk factor burden, and lifetime risk of atrial fibrillation. Circulation. 2018;137:1027–38. https://doi.org/10.1161/CIRCULATIONAHA.117.031431.
Schiano C, Costa V, Aprile M, Grimaldi V, Maiello C, Esposito R, Soricelli A, Colantuoni V, Donatelli F, Ciccodicola A, Napoli C. Heartfailure: Pilottranscriptomicanalysis of cardiactissue by RNA-sequencing. Cardiol J. 2017;24(5):539–53.
Schiano C, Franzese M, Geraci F, Zanfardino M, Maiello C, Palmieri V, Soricelli A, Grimaldi V, Coscioni E, Salvatore M, Napoli C. Machine Learning and Bioinformatics Framework Integration to Potential Familial DCM-Related Markers Discovery. Genes (Basel). 2021;12(12):1946.
Article PubMed PubMed Central CAS Google Scholar
Krittanawong C, Zhang H, Wang Z, Aydar M, Kitai T. Artificial intelligence in precision cardiovascular medicine. J Am Coll Cardiol. 2017;69(21):2657–64. https://doi.org/10.1016/j.jacc.2017.03.571.
Johnson KW, Torres Soto J, Glicksberg BS, Shameer K, Miotto R, Ali M, Ashley E, Dudley JT. Artificial intelligence in cardiology. J Am Coll Cardiol. 2018;71:2668–79. https://doi.org/10.1016/j.jacc.2018.03.521.
Khalsa RK, Khashkhusha A, Zaidi S, Harky A, Bashir M. Artificial intelligence and cardiac surgery during COVID-19 era. J Card Surg. 2021;36(5):1729–33. https://doi.org/10.1111/jocs.15417.
Article PubMed PubMed Central Google Scholar
Kramer CM, Appelbaum E, Desai MY, Desvigne-Nickens P, DiMarco JP, Friedrich MG, Geller N, Heckler S, Ho CY, Jerosch-Herold M, Ivey EA, Keleti J, Kim DY, Kolm P, Kwong RY, Maron MS, Schulz-Menger J, Piechnik S, Watkins H, Weintraub WS, Wu P, Neubauer S. Hypertrophic Cardiomyopathy Registry: the rationale and design of an international, observational study of hypertrophic cardiomyopathy. Am Heart J. 2015;170:223–30. https://doi.org/10.1016/j.ahj.2015.05.013.
Article PubMed PubMed Central Google Scholar
Infante T, Cavaliere C, Punzo B, Grimaldi V, Salvatore M, Napoli C. Radiogenomics and artificial intelligence approaches applied to cardiac computed tomography angiography and cardiac magnetic resonance for precision medicine in coronary heart disease: a systematic review. Circ Cardiovasc Imaging. 2021 Dec;14(12):1133–46. https://doi.org/10.1161/CIRCIMAGING.121.013025.
LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521(7553):436–44. https://doi.org/10.1038/nature14539.
Article PubMed CAS Google Scholar
Goncharov M, Mejia OAV, Perez de Souza Arthur C, Orlandi BMM, Sousa A, Praça Oliveira MA, Atik FA, Segalote RC, Tiveron MG, de Barros E, Silva PGM, Nakazone MA, Lisboa LAF, Dallan LAO, Zheng Z, Hu S, Jatene FB. Correction: mortality risk prediction in high-risk patients undergoing coronary artery bypass grafting: are traditional risk scores accurate? PLoS ONE. 2021;16(10):e0258706. https://doi.org/10.1371/journal.pone.0258706.
Article PubMed PubMed Central Google Scholar
Schlegl T, Waldstein SM, Vogl WD, Schmidt-Erfurth U, Langs G. Predicting semantic descriptions from medical images with convolutional neural networks. Inf Process Med Imaging. 2015;24:437–48. https://doi.org/10.1007/978-3-319-19992-4_34.
Jacobs JP, Shahian DM, Prager RL, Edwards FH, McDonald D, Han JM, D’Agostino RS, Jacobs ML, Kozower BD, Badhwar V, Thourani VH, Gaissert HA, Fernandez FG, Wright C, Fann JI, Paone G, Sanchez JA, Cleveland JC Jr, Brennan JM, Dokholyan RS, O’Brien SM, Peterson ED, Grover FL, Patterson GA. Introduction to the STS national database series: outcomes analysis, quality improvement, and patient safety. Ann Thorac Surg. 2015;100(6):1992–2000. https://doi.org/10.1016/j.athoracsur.2015.10.060.
Weintraub WS, Grau-Sepulveda MV, Weiss JM, O’Brien SM, Peterson ED, Kolm P, Zhang Z, Klein LW, Shaw RE, McKay C, Ritzenthaler LL, Popma JJ, Messenger JC, Shahian DM, Grover FL, Mayer JE, Shewan CM, Garratt KN, Moussa ID, Dangas GD, Edwards FH. Comparative effectiveness of revascularization strategies. N Engl J Med. 2012;366(16):1467–76. https://doi.org/10.1056/NEJMoa1110717.
Article PubMed PubMed Central CAS Google Scholar
Weintraub WS, Grau-Sepulveda MV, Weiss JM, Delong ER, Peterson ED, O’Brien SM, Kolm P, Klein LW, Shaw RE, McKay C, Ritzenthaler LL, Popma JJ, Messenger JC, Shahian DM, Grover FL, Mayer JE, Garratt KN, Moussa ID, Edwards FH, Dangas GD. Prediction of long-term mortality after percutaneous coronary intervention in older adults: results from the National Cardiovascular Data Registry. Circulation. 2012;125(12):1501–10. https://doi.org/10.1161/CIRCULATIONAHA.111.066969.
Article PubMed PubMed Central Google Scholar
Zhang Z, Kolm P, Grau-Sepulveda MV, Ponirakis A, O’Brien SM, Klein LW, Shaw RE, McKay C, Shahian DM, Grover FL, Mayer JE, Garratt KN, Hlatky M, Edwards FH, Weintraub WS. Cost-effectiveness of revascularization strategies: the ASCERT study. J Am Coll Cardiol. 2015;65(1):1–11. https://doi.org/10.1016/j.jacc.2014.09.078.
Article PubMed PubMed Central Google Scholar
Hlatky MA, Boothroyd DB, Baker L, Kazi DS, Solomon MD, Chang TI, Shilane D, Go AS. Comparative effectiveness of multivessel coronary bypass surgery and multivessel percutaneous coronary intervention: a cohort study. Ann Intern Med. 2013;158(10):727–34. https://doi.org/10.7326/0003-4819-158-10-201305210-00639.
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