Big Data and Precision Medicine: an Overview into the Future
DOI:
https://doi.org/10.52787/agl.v53i3.345Keywords:
Big data, precision medicineAbstract
Unlike the "one size fits all" approach, precision medicine uses a person's medical (including genetic), behavioral and environmental information to further individualize their care. This could lead to better prediction of disease in an at-risk individual and more effective diagnosis and treatment when the disease is present. Big data allows for much greater precision and tailoring than ever before, linking disparate data sets to reveal previously unknown correlations and causal pathways. But there are also ethical issues related to balancing interests, the feasibility of anonymity, the impact on family and groups, and genetic discrimination.
References
-1. Gomes MAS, Kovaleski JL, Pagani RN, da Silva VL, Pasquini TCS. Transforming healthcare with big data analytics: technologies, techniques and prospects. J Med Eng Technol. 2023 Jan;47(1):1-11. https://doi.org/10.1080/03091902.2022.2096133
-2. Raghupathi W, Raghupathi V. Big data analytics in healthcare: promise and potential. Health Inf Sci Syst 2014;2(1). https://doi.org/10.1186/2047-2501-2-3
-3. Pramanik PK, Pal S, Mukhopadhyay M. Healthcare big data: a comprehensive overview. In research anthology on big data analytics, architectures, and applications. IGI Glob 2022;19-47. https://doi.org/10.4018/978-1-6684-3662-2.ch006
-4. Hong L, Luo M, Wang R, Lu P, Lu W, Lu L. Big Data in Health Care: Applications and Challenges. Data and Information Management. 2018;2(3):175–197. https://doi.org/10.2478/dim-2018-0014
-5. Schulte T, Bohnet-Joschko S. How can Big Data Analytics Support People-Centred and Integrated Health Services: A Scoping Review. Int J Integr Care. 2022 Jun 16;22(2):23. DOI: 10.5334/ijic.5543
-6. Konstantinidis M, Lalla EA. Clinical anisotropy: A case for shared decision making in the age of too much data and patient dis-integration. J Eval Clin Pract. 2020 Apr;26(2):604-609. DOI: 10.1111/jep.13312
-7. Bouzillé G, Poirier C, Campillo-Gimenez B, Aubert M-L, Chabot M, Chazard E. Leveraging hospital big data to monitor flu epidemics. Comput Methods Programs Biomed. 2018 Feb;154:153-160. DOI: 10.1016/j.cmpb.2017.11.012
-8. Trifiro G, Sultana J, Bate A. From big data to smart data for pharmacovigilance: the role of healthcare databases and other emerging sources. Drug Saf. 2018;41:143-149.
-9. Mills G. Big data drive efficient rabies vaccination. Vet Rec. 2021 Feb;188(3):88-89. DOI: 10.1002/vetr.150
-10. Detecting Suicide and Self-Harm Discussions Among Opioid Substance Users on Instagram Using Machine Learning. Front Psychiatry. 2021 May 31;12:551296. DOI: 10.3389/fpsyt.2021.551296
-11. Tu B, Patel R, Pitalua M, Khan H, Gittner LS. Building effective intervention models utilizing big data to prevent the obesity epidemic. Obes Res Clin Pract. 20
-12. Scali ST, Stone DH. The role of big data, risk prediction, simulation, and centralization for emergency vascular problems: Lessons learned and future directions. Semin Vasc Surg. 2023 Jun;36(2):380-391. DOI: 10.1053/j.semvascsurg.2023.03.003
-13. Schulte T, Wurz T, Groene O, Bohnet-Joschko S. Big Data Analytics to Reduce Preventable Hospitalizations-Using Real-World Data to Predict Ambulatory Care-Sensitive Conditions. Int J Environ Res Public Health. 2023 Mar 7;20(6):4693. DOI: 10.3390/ijerph20064693
-14. Choi JW, Kang S, Lee J, Choi Y, Kim HC, Chung JW. Prognostication and risk factor stratification for survival of patients with hepatocellular carcinoma: a nationwide big data analysis. Sci Rep. 2023 Jun 27;13(1):10388. DOI: 10.1038/s41598-023-37277-9
-15. Kayaalp M. Patient Privacy in the Era of Big Data. Balkan Med J. 2018 Jan 20;35(1):8-17. DOI: 10.4274/balkanmedj.2017.0966
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