[HTML][HTML] Big data analysis for decision-making processes: challenges and opportunities for the management of health-care organizations

S Fanelli, L Pratici, FP Salvatore, CC Donelli… - Management …, 2023 - emerald.com
Purpose This study aims to provide a picture of the current state of art in the use of big data
for decision-making processes for the management of health-care organizations …

[HTML][HTML] Implications of big data analytics in developing healthcare frameworks–A review

V Palanisamy, R Thirunavukarasu - … of King Saud University-Computer and …, 2019 - Elsevier
The domain of healthcare acquired its influence by the impact of big data since the data
sources involved in the healthcare organizations are well-known for their volume …

[HTML][HTML] Obesity definition, diagnosis, bias, standard operating procedures (SOPs), and telehealth: an Obesity Medicine Association (OMA) Clinical Practice Statement …

AK Fitch, HE Bays - Obesity Pillars, 2022 - Elsevier
Abstract Background The Obesity Medicine Association (OMA) Clinical Practice Statement
(CPS) regarding definition, diagnosis, bias, standard operating procedures (SOPs) and …

[HTML][HTML] Making sense of big data in health research: towards an EU action plan

C Auffray, R Balling, I Barroso, L Bencze, M Benson… - Genome medicine, 2016 - Springer
Medicine and healthcare are undergoing profound changes. Whole-genome sequencing
and high-resolution imaging technologies are key drivers of this rapid and crucial …

Big data impacts and challenges: a review

ZA Al-Sai, R Abdullah - 2019 IEEE Jordan international joint …, 2019 - ieeexplore.ieee.org
Data is everywhere, organizations, governments, clicks, web server, business partner, and
even our body. Big Data comes to life with insights to improve the technology fashion and …

Obesity prevention: a proposed framework for translating evidence into action

B Swinburn, T Gill, S Kumanyika - Obesity reviews, 2005 - Wiley Online Library
Obesity as a major public health and economic problem has risen to the top of policy and
programme agendas in many countries, with prevention of childhood obesity providing a …

[HTML][HTML] Big data in science and healthcare: a review of recent literature and perspectives

MM Hansen, T Miron-Shatz, AYS Lau… - Yearbook of medical …, 2014 - thieme-connect.com
Objectives: As technology continues to evolve and rise in various industries, such as
healthcare, science, education, and gaming, a sophisticated concept known as Big Data is …

[HTML][HTML] Putting the data before the algorithm in big data addressing personalized healthcare

EM Cahan, T Hernandez-Boussard… - NPJ Digital …, 2019 - nature.com
Technologies leveraging big data, including predictive algorithms and machine learning, are
playing an increasingly important role in the delivery of healthcare. However, evidence …

[HTML][HTML] Potentiality of big data in the medical sector: focus on how to reshape the healthcare system

K Jee, GH Kim - Healthcare informatics research, 2013 - synapse.koreamed.org
Objectives The main purpose of this study was to explore whether the use of big data can
effectively reduce healthcare concerns, such as the selection of appropriate treatment paths …

Clinical epidemiology in the era of big data: new opportunities, familiar challenges

V Ehrenstein, H Nielsen, AB Pedersen… - Clinical …, 2017 - Taylor & Francis
Routinely recorded health data have evolved from mere by-products of health care delivery
or billing into a powerful research tool for studying and improving patient care through …