World Health
By A. Blenkinsop. 1957
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Franccoise Beaufays
- Hubert Eichner
- Galen Andrew
- Daniel Ramage
- Timothy Yang
- S. Clift
- Haicheng Sun
- Vijay Kumar
Citations in the corpus
- APPLIED FEDERATED LEARNING: IMPROVING GOOGLE KEYBOARD QUERY SUGGESTIONS (2018, background): “These developing markets tend to have less reliable network and power access which contributes to low round completions [19, 20, 21].”
- Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019 (2019, background): “Globally, an estimated 30 million people develop sepsis and 6 million people die of sepsis each year (5).”
- Choral singing and psychological wellbeing: Quantitative and qualitative findings from English choirs in a cross-national survey (2010, result): “This is in line with previous large-scale normative studies using the WHOQOL-BREF, which report significantly lower means for women compared with men on this scale (Skevington et al. 2004).”
- Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks (2020, background): “World Health Organization (WHO) de-clared the outbreak of nCoV as a “ Public Health Emergency of International Concern ” on 30 January 2020 [2].”
- Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning (2021, background): “Various unhealthy activities are the reason for the increase in the risk of heart disease like high cholesterol, obesity, increase in triglycerides levels, hypertension, etc. [1].”
- Advances in Agriculture Robotics: A State-of-the-Art Review and Challenges Ahead (2021, unknown): “…generated by the Coronavirus pandemic (COVID-19), which in addition to causing a large number of deaths around the world (about 2,527,891 confirmed deaths until 01/03/2021, according to the World Health Organization (WHO) [6]), imposed several forms of restriction of social and economic activities.”
- Digital health is a cultural transformation of traditional healthcare. (2017, background): “A 2013 WHO report revealed that health literacy is a stronger predictor of the formation of the state of health than income, education or belonging to various ethnic groups (38).”
- Cyber security in the age of COVID-19: A timeline and analysis of cyber-crime and cyber-attacks during the pandemic (2020, unknown): “Time range: We attempted to find the earliest reported cyber-attack which was associated with the COVID-19 pandemic.”
- The global burden of low back pain: estimates from the Global Burden of Disease 2010 study (2014, unknown): “Additional information on prevalence of LBP was derived from the World Health Surveys (50 countries; 1495 data points) 32 ; Australian National Health Surveys (1995, 2001, 2003/2004 and 2007/2008; 43 data points) 33 ; Australian Surveys of Disability, Ageing and Carers (2003 and 2009; 41 data…”
- Tackling the wider social determinants of health and health inequalities: evidence from systematic reviews (2009, unknown): “8 However, turning this need for better evidence about interventions around the social determinants of health into action requires the identi fi cation of what we already know in terms of the effects of interventions and also identifying areas where new studies are needed.”