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데이터 사이언스
Sign in to save문헌정보학, 컴퓨터학, 경영학, 통계학 등 여러 학문 분야가 관련된 학제간 연구분야로써 데이터로 부터 지식 또는 통찰력을 이끌어내기 위한 절차 또는 시스템을 말한다.
AI overview
Data science is a field of study focused on extracting useful insights and knowledge from data. It matters because these insights can help organizations and individuals make better decisions based on evidence rather than guesswork.
AI-generated from the Wikipedia summary — may contain errors.
Research
1,124,733 papers- The role of data science in healthcare advancements: applications, benefits, and future prospects.ReviewIrish journal of medical science · 2022Subrahmanya SVG, Shetty DK, Patil V et al.DOI: 10.1007/s11845-021-02730-z
- Microbiome data science.ReviewJournal of biosciences · 2019Shetty SA, Lahti L
- Data science in cell imaging.ReviewJournal of cell science · 2021Driscoll MK, Zaritsky ADOI: 10.1242/jcs.254292
- Data science approaches to infectious disease surveillance.ReviewPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022Zhang QDOI: 10.1098/rsta.2021.0115
- Data Science for Child Health.ReviewThe Journal of pediatrics · 2019Bennett TD, Callahan TJ, Feinstein JA et al.DOI: 10.1016/j.jpeds.2018.12.041
- Data science in modern evidence-based medicine.ReviewJournal of the Royal Society of Medicine · 2019Radenkovic D, Keogh SB, Maruthappu MDOI: 10.1177/0141076819871055
- Harnessing data science to advance radiation oncology.ReviewMolecular oncology · 2020Vogelius IR, Petersen J, Bentzen SMDOI: 10.1002/1878-0261.12685
- Data Science and Graduate Nursing Education: A Critical Literature Review.ReviewClinical nurse specialist CNS · 2020Foster M, Tasnim ZDOI: 10.1097/NUR.0000000000000516
via PubMed