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For: Takura T, Hirano Goto K, Honda A. Development of a predictive model for integrated medical and long-term care resource consumption based on health behaviour: application of healthcare big data of patients with circulatory diseases. BMC Med 2021;19:15. [PMID: 33413377 DOI: 10.1186/s12916-020-01874-6] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
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1 Bezrukova GA, Novikova TA. The use of modern digital technologies in predictive analysis of risk factors for premature death due to socially significant non-communicable diseases (literature review). Zdravoohran Ross Fed 2022;66:484-490. [DOI: 10.47470/0044-197x-2022-66-6-484-490] [Reference Citation Analysis]
2 Lokesh S, Chakraborty S, Pulugu R, Mittal S, Pulugu D, Muruganantham R. AI-based big data analytics model for medical applications. Measurement: Sensors 2022;24:100534. [DOI: 10.1016/j.measen.2022.100534] [Reference Citation Analysis]
3 Kang X, Wang M, Lin J, Li X. Trends and status in resources security, ecological stability, and sustainable development research: a systematic analysis. Environ Sci Pollut Res Int 2022. [PMID: 35226264 DOI: 10.1007/s11356-022-19412-7] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
4 Alanazi R, Elhoseny M. Identification and Prediction of Chronic Diseases Using Machine Learning Approach. Journal of Healthcare Engineering 2022;2022:1-9. [DOI: 10.1155/2022/2826127] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
5 John Cremin C, Dash S, Huang X. Big Data: Historic Advances and Emerging Trends in Biomedical Research. Current Research in Biotechnology 2022. [DOI: 10.1016/j.crbiot.2022.02.004] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Rajawat AS, Barhanpurkar K, Goyal SB, Bedi P, Shaw RN, Ghosh A. Efficient Deep Learning for Reforming Authentic Content Searching on Big Data. Advanced Computing and Intelligent Technologies 2022. [DOI: 10.1007/978-981-16-2164-2_26] [Cited by in Crossref: 12] [Article Influence: 12.0] [Reference Citation Analysis]
7 Nascimento-Ferreira MV, Berg G, González Zapata LI, De Moraes ACF, Carvalho HB. Individualised prognosis for risk of developing abdominal obesity in the paediatric population. Clin Nutr ESPEN 2021;45:333-40. [PMID: 34620337 DOI: 10.1016/j.clnesp.2021.07.025] [Reference Citation Analysis]