Results 71 to 80 of about 30,851 (169)

A data-driven AI framework for personalized diagnosis, prognosis, and therapeutic optimization in chronic disease management using multimodal big data analytics. [PDF]

Front Mol Biosci
Zhang Y, Song Z, Cai Q.
europepmc   +1 more source

Big Data Analytics in Large Cohorts: Opportunities and Challenges for Research in Hepatology. [PDF]

Semin Liver Dis
Huang HYR, Schneider KM, Schneider C.
europepmc   +1 more source

How big data analytics can strengthen large-scale food fortification and biofortification decision-making: A scoping review. [PDF]

Ann N Y Acad Sci
Walsh F, Zhenchuk A, Luthringer C, Kratz C, Schweigert F.   +4 more
europepmc   +1 more source

Big data analytics and knowledge discovery [PDF]

Concurrency and Computation: Practice and Experience, 2016
Bellatreche, Ladjel, Mohania, Mukesh K.
openaire   +2 more sources

Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder? [PDF]

J Med Internet Res
Amer M, Gittins R, Millana AM, Scheibein F, Ferri M, Tofighi B, Sullivan F, Handley M, Ghosh M, Baldacchino A, Tay Wee Teck J.   +10 more
europepmc   +1 more source

Real World-Big Data Analytics in Healthcare. [PDF]

Int J Environ Res Public Health, 2022
Piovani D, Bonovas S.
europepmc   +1 more source

Big data analytics in food industry: a state-of-the-art literature review. [PDF]

NPJ Sci Food
Siddique A, Gupta A, Sawyer JT, Huang TS, Morey A.   +4 more
europepmc   +1 more source

Big Data Analytics for Uncovering Voxel Connectivity Patterns in Attention Deficit Hyperactivity Disorder. [PDF]

J Multidiscip Healthc
Caraka RE, Supardi K, Gio PU, Isnaniawardhani V, Chen RC, Djatmiko B, Pardamean B.   +6 more
europepmc   +1 more source

Potential link between tastes preference and digestive system cancer hospitalisations in Fujian Province, China: big data analytics. [PDF]

Public Health Nutr
Rao Z, Huang J, Zhuang Z, Zheng J, Tang X, Wang H, Hu Z, Peng X.   +7 more
europepmc   +1 more source

Big data analytics and machine learning in hematology: Transformative insights, applications and challenges. [PDF]

Medicine (Baltimore)
Obeagu EI, Ezeanya CU, Ogenyi FC, Ifu DD.   +3 more
europepmc   +1 more source