Acute Crit Care.  2018 Nov;33(4):269-270. 10.4266/acc.2018.00346.

Critical Care Research Using “Big Data”: A Reality in the Near Future

• Lee K

• KMID: 2441245
• DOI: http://doi.org/10.4266/acc.2018.00346

Abstract

No abstract available.

MeSH Terms

Critical Care*

Reference

1. Provost F, Fawcett T. Data science and its relationship to big data and data-driven decision making. Big Data. 2013; 1:51–9.

2. Bates DW, Saria S, Ohno-Machado L, Shah A, Escobar G. Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Aff (Millwood). 2014; 33:1123–31.

3. Docherty AB, Lone NI. Exploiting big data for critical care research. Curr Opin Crit Care. 2015; 21:467–72.

4. Sanchez-Pinto LN, Luo Y, Churpek MM. Big data and data science in critical care. Chest. 2018; 154:1239–48.

5. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985; 13:818–29.

6. Lee J, Lee JS, Park SH, Shin SA, Kim K. Cohort profile: the National Health Insurance Service-National Sample Cohort (NHISNSC), South Korea. Int J Epidemiol. 2017; 46:e15.

7. Oh SY, Cho S, Lee H, Chang EJ, Min SH, Ryu HG. Sepsis in patients receiving immunosuppressive drugs in Korea: analysis of the national insurance database from 2009 to 2013. Korean J Crit Care Med. 2015; 30:249–57.

8. Heo J, Hong Y, Han SS, Kim WJ, Kwon JW, Moon KW, et al. Changes in the characteristics and long-term mortality rates of intensive care unit patients from 2003 to 2010: a nationwide population-based cohort study performed in the Republic of Korea. Acute Crit Care. 2018; 33:135–45.

9. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987; 40:373–83.

10. Oh TK, Jo J, Jeon YT, Song IA. Impact of socioeconomic status on 30-day and 1-year mortalities after intensive care unit admission in South Korea: a retrospective cohort study. Acute Crit Care. 2018; 33:230–7.