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Published on 17.01.14 in Vol 2, No 1 (2014): Jan-Jun

This paper is in the following e-collection/theme issue:

Works citing "Big Data and Clinicians: A Review on the State of the Science"

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.2913):

(note that this is only a small subset of citations)

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  34. Treder M, Gaber A, Rudloff B, Eter N. Real-Life-Daten-Analyse der Therapiequalität bei Patienten mit exsudativer altersabhängiger Makuladegeneration (AMD) und venösen Gefäßverschlüssen an einer deutschen Universitätsaugenklinik. Der Ophthalmologe 2019;116(6):553
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  35. Chen Y, Wang Z, Yuan G, Huang L. An overview of online based platforms for sharing and analyzing electrophysiology data from big data perspective. WIREs Data Mining and Knowledge Discovery 2017;7(4)
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  36. Fang Z, Fan X, Chen G. A study on specialist or special disease clinics based on big data. Frontiers of Medicine 2014;8(3):376
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  37. Raghupathi V, Zhou Y, Raghupathi W. Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis. International Journal of Healthcare Information Systems and Informatics 2019;14(4):1
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  38. Schee genannt Halfmann S, Evangelatos N, Schröder-Bäck P, Brand A. European Healthcare Systems Readiness to Shift from ‘One-Size Fits All’ to Personalized Medicine. Personalized Medicine 2017;14(1):63
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  42. Zhu VZ, Tuggle CT, Au AF. Promise and Limitations of Big Data Research in Plastic Surgery. Annals of Plastic Surgery 2016;76(4):453
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  43. Danso SO, Job DE, Gonzalez DR, Dickie DA, Palmer J, Ure J, Bath PM, Sandercock PAG, Wardlaw JM. Developing an Integrated Image Bank and Metadata for Large-scale Research in Cerebrovascular Disease: Our Experience from the Stroke Image Bank Project. Frontiers in ICT 2016;3
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  44. Ali R, Hussain J, Siddiqi M, Hussain M, Lee S. H2RM: A Hybrid Rough Set Reasoning Model for Prediction and Management of Diabetes Mellitus. Sensors 2015;15(7):15921
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  47. MacRae J, Darlow B, McBain L, Jones O, Stubbe M, Turner N, Dowell A. Accessing primary care Big Data: the development of a software algorithm to explore the rich content of consultation records. BMJ Open 2015;5(8):e008160
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  48. Cirillo D, Catuara-Solarz S, Morey C, Guney E, Subirats L, Mellino S, Gigante A, Valencia A, Rementeria MJ, Chadha AS, Mavridis N. Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare. npj Digital Medicine 2020;3(1)
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  49. Brennan PF, Bakken S. Nursing Needs Big Data and Big Data Needs Nursing. Journal of Nursing Scholarship 2015;47(5):477
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  50. Agoston DV, Langford D. Big Data in traumatic brain injury; promise and challenges. Concussion 2017;2(4):CNC44
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  55. Dórea FC, Revie CW. Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making. Frontiers in Veterinary Science 2021;8
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  56. Thakkar I, Massardo T, Pereira J, Quintana JC, Risco L, Saez CG, Corral S, Villa C, Spuler J, Olivares N, Valenzuela G, Castro G, Riedel B, Vicentini D, Muñoz D, Lastra R, Rodriguez-Fernandez M. Identification of Statin’s Action in a Small Cohort of Patients with Major Depression. Applied Sciences 2021;11(6):2827
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  57. Sung L, Corbin C, Steinberg E, Vettese E, Campigotto A, Lecce L, Tomlinson GA, Shah N. Development and utility assessment of a machine learning bloodstream infection classifier in pediatric patients receiving cancer treatments. BMC Cancer 2020;20(1)
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  61. Ning S, Li N, Barty R, Arnold D, Heddle NM. Database‐driven research and big data analytic approaches in transfusion medicine. Transfusion 2022;62(7):1427
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  62. Sun A, Johnson D. Characterization of Traumatic Injury During the Early COVID-19 Pandemic: Results From a National Healthcare Database. Cureus 2022;
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According to Crossref, the following books are citing this article (DOI 10.2196/medinform.2913):

  1. Papadopoulou P, Lytras M, Marouli C. Applying Big Data Analytics in Bioinformatics and Medicine. 2018. chapter 1:1
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  2. Martinez-Mosquera D, Luján-Mora S, Montoya L. LH, Reyes Ch. RP, Paredes Calderón M. Advances in Emerging Trends and Technologies. 2020. Chapter 12:125
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  3. Papadopoulou P, Lytras M, Marouli C. Biotechnology. 2019. chapter 8:185
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  4. Gaitanou P, Garoufallou E, Balatsoukas P. Metadata and Semantics Research. 2014. Chapter 14:141
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  5. Nicholls SG, Langan SM, Benchimol EI. The Ethics of Biomedical Big Data. 2016. Chapter 15:339
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  6. . Analytics, Operations, and Strategic Decision Making in the Public Sector. 2019. chapter 5:88
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  7. Papadopoulou P, Chui KT, Daniela L, Lytras MD. Cognitive Computing in Technology-Enhanced Learning. 2019. chapter 6:109
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  8. Tempini N, Leonelli S. Encyclopedia of Life Sciences. 2015. :1
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  9. Ortega MI, Genero M, Piattini M. Model and Data Engineering. 2017. Chapter 8:96
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  10. Sharma N, Patil MM, Shamkuwar M. Internet of Things in Biomedical Engineering. 2019. :189
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  11. Tekchandani S, Shah J, Singh A. Data Science and Intelligent Applications. 2021. Chapter 1:1
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  12. Hardy LR, Bourne PE. Big Data-Enabled Nursing. 2017. Chapter 10:183
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  13. A. R, V. T. K, A. S. Deep Neural Networks for Multimodal Imaging and Biomedical Applications. 2020. chapter 1:1
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  14. . Leveraging Biomedical and Healthcare Data. 2019. :53
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  15. Mathew PS, Pillai AS. Innovations in Bio-Inspired Computing and Applications. 2016. Chapter 48:543
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  16. . Contemporary Topics in Patient Safety - Volume 1. 2022. Chapter 4
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  17. . Research Anthology on Public Health Services, Policies, and Education. 2021. chapter 18:410
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  18. Varshney M, Bhushan B, Haque AKMB. Multimedia Technologies in the Internet of Things Environment, Volume 3. 2022. Chapter 11:167
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  19. Subirats L, Piella G. Sex and Gender Bias in Technology and Artificial Intelligence. 2022. :77
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  20. Iyamu T, Mgudlwa S. Research Anthology on Big Data Analytics, Architectures, and Applications. 2022. chapter 51:1071
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  21. Khan Mamun MMR, Alouani A. Advances in Information and Communication. 2022. Chapter 29:420
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  22. Raghupathi V, Zhou Y, Raghupathi W. Research Anthology on Big Data Analytics, Architectures, and Applications. 2022. chapter 90:1843
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  23. van de Beld J, Pathak S, Geerdink J, Hegeman JH, Seifert C. Explainable Artificial Intelligence. 2024. Chapter 5:84
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  24. Duckett KA, Graboyes EM. Big Data in Otolaryngology. 2024. :47
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  25. Vemulavada S, Karthikvatsan S, Babu A, Kadalmani B, Devi TR, Sasipraba T, Manikkam R, Parthasarathy K, Balaji VH. Translational Research in Biomedical Sciences: Recent Progress and Future Prospects. 2024. Chapter 9:121
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