scholarly journals National Surveys of Population Health: Big Data Analytics for Mobile Health Monitors

Big Data ◽  
2015 ◽  
Vol 3 (4) ◽  
pp. 219-229 ◽  
Author(s):  
Bruce R. Schatz
Keyword(s):  
Big Data ◽  
Population Health ◽  
Mobile Health ◽  
Data Analytics ◽  
Big Data Analytics ◽  
National Surveys

scholarly journals Big Data Analytics

2019 ◽  
Vol 87 (2) ◽  
pp. 24-26
Author(s):  
Shawna Bourne ◽  
Tarun Rihal
Keyword(s):  
Big Data ◽  
Health Outcomes ◽  
Environmental Health ◽  
Population Health ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Factors Affecting ◽  
Water Test ◽  
Safe Food ◽  
The Impact

Utilizing big data to guide decision-making for environmental health outcomes can provide the next level of health outcome improvements on a population basis. Historical shifts in overall health and longevity came with environmental health interventions such as safe food and water supplies, the treatment of waste and the establishment of standards that have reduced acute illnesses in the population. Big data analysis approaches have the potential to have a similar impact on quality and length of life by analyzing the factors leading to chronic illness in the population, and improving outcomes. Through the use of big data and machine learning, we can learn more about the environmental factors affecting population health. This article presents an opportunity to utilize pre-existing data to explore a novel way of assessing the impact of known health hazards. This is demonstrated by using drinking water test results as a case example. We demonstrate how big data analytics can be used in such a scenario to identify environmental public health risk. This approach is beginning to be used to collect new and better organized data with the intent of improving population health outcomes.

scholarly journals Prospects and Challenges of Population Health with Online and other Big Data in Africa

2019 ◽  
Vol 6 (1) ◽  
pp. 57-63 ◽  
Author(s):  
Rowland Edet ◽  
Bolarinwa Afolabi
Keyword(s):  
Health Care ◽  
Big Data ◽  
Population Health ◽  
Data Analytics ◽  
Healthcare Service ◽  
Positive Impact ◽  
Health Care Service ◽  
Big Data Analytics ◽  
Big Data Applications ◽  
The Impact

Big data analytics offers promises to many health care service challenges and can provide answers to many population health issues. Big data is having a positive impact in almost every sphere of life in more advanced world while developing countries are striving to meet up. Even though healthcare systems in the developed world are recording some breakthroughs due to the application of big data, it is important to research the impact of big data in developing regions of the world, such as Africa and identify its peculiar needs. The purpose of this review was to summarize the challenges faced by big data analytics and the prospects that big data opens in health care services in Africa. The systematic review examined the key research questions to address whether big data applications can improve healthcare service delivery in Africa especially during epidemics or health crises and through the population health system. The paper examined prospects and challenges that are associated with the use of big data and healthcare service in relation to population health needs through influencing factors. In this study, literatures are reviewed to present cases of big data applications in healthcare in Africa and to understand the prospect and challenges of such applications to population health.

Big Data Analytics: The Next Big Thing

2019 ◽  
Vol 54 (5) ◽  
pp. 20
Author(s):  
Dheeraj Kumar Pradhan
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics

Strategy in Discovery Mode - Wie Big Data & Analytics strategisches Denken verdrängen kann

2020 ◽  
Vol 49 (5) ◽  
pp. 11-17
Author(s):  
Thomas Wrona ◽  
Pauline Reinecke
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics

Big Data & Analytics (BDA) ist zu einer kaum hinterfragten Institution für Effizienz und Wettbewerbsvorteil von Unternehmen geworden. Zu viele prominente Beispiele, wie der Erfolg von Google oder Amazon, scheinen die Bedeutung zu bestätigen, die Daten und Algorithmen zur Erlangung von langfristigen Wettbewerbsvorteilen zukommt. Sowohl die Praxis als auch die Wissenschaft scheinen geradezu euphorisch auf den „Datenzug“ aufzuspringen. Wenn Risiken thematisiert werden, dann handelt es sich meist um ethische Fragen. Dabei wird häufig übersehen, dass die diskutierten Vorteile sich primär aus einer operativen Effizienzperspektive ergeben. Strategische Wirkungen werden allenfalls in Bezug auf Geschäftsmodellinnovationen diskutiert, deren tatsächlicher Innovationsgrad noch zu beurteilen ist. Im Folgenden soll gezeigt werden, dass durch BDA zwar Wettbewerbsvorteile erzeugt werden können, dass aber hiermit auch große strategische Risiken verbunden sind, die derzeit kaum beachtet werden.

A Review on Big Data Analytics Tools in Context with Scalability

2019 ◽  
Vol 7 (2) ◽  
pp. 273-277
Author(s):  
Ajay Kumar Bharti ◽  
Neha Verma ◽  
Deepak Kumar Verma
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics

Big Data Analytics Solutions and Challenges

2017 ◽  
Vol 49 (004) ◽  
pp. 825--830
Author(s):  
A. AHMED ◽  
R.U. AMIN ◽  
M. R. ANJUM ◽  
I. ULLAH ◽  
I. S. BAJWA
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics
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