scholarly journals Leveraging Automated Machine Learning for the Analysis of Global Public Health Data: A Case Study in Malaria

2021 ◽  
Vol 66 ◽  
Author(s):  
Elisabetta Manduchi ◽  
Jason H. Moore
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Health Data ◽  
Global Public Health ◽  
Public Health Data ◽  
Automated Machine Learning

scholarly journals Machine Learning for Neonatal Mortality Risk Assessment: A Case Study Using Public Health Data from São Paulo

2020 ◽  
Author(s):  
Carlos Eduardo Beluzo ◽  
Luciana Correia Alves ◽  
Rodrigo Bresan ◽  
Natália Arruda ◽  
Ricardo Sovat ◽  
...  
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Risk Assessment ◽  
Network Architecture ◽  
Health Data ◽  
Sao Paulo ◽  
São Paulo ◽  
Public Health Data ◽  
Tools And Techniques

AbstractInfant mortality is a reflection of a complex combination of biological, socioeconomic and health care factors that require various data sources for a thorough analysis. Consequently, the use of specialized tools and techniques to deal with a large volume of data is extremely helpful. Machine learning has been applied to solve problems from many domains and presents great potential for the proposed problem, which would be an innovation in Brazilian reality. In this paper, an innovative method is proposed to perform a neonatal death risk assessment using computer vision techniques. Using mother, pregnancy care and child at birth features, from a dataset containing neonatal samples from São Paulo city public health data, the proposed method encodes images features and uses a custom convolutional neural network architecture to classification. Experiments show that the method is able to detect death samples with accuracy of 90.61%.

scholarly journals IoTs, Machine Learning (ML), AI and Digital Transformation Affects Various Industries - Principles and Cybersecurity Risks Solutions

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 501-513
Author(s):  
Nguyen Dinh Trung ◽  
Dinh Tran Ngoc Huy ◽  
Trung-Hieu Le
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Health Data ◽  
Digital Transformation ◽  
Development Path ◽  
Public Health Data ◽  
Infrared Rays ◽  
Manufacturing Sectors ◽  
Applications Of Machine Learning

Our purpose to conduct this research is that we would like to present advantages and applications of internet of things (IoTs), Machine learning (ML), AI - Artificial intelligence and digital transformation in Education, Medicine-hospitals, Tourism and Manufacturing Sectors. In this paper authors will use methods such as empirical research and practices and experiences in infrared rays system applications in emerging markets such as Vietnam. Research Results find out that in education sector, ML and IoTs and AI has affected methods of teaching and methods of evaluating students in classroom and from then, teachers or instructors can decide suitable career development path for learners. Last but not least, ML and IoTs and AI together also has certain impacts in hospitals and medicine sector where public health data and patients information and diseases information are recorded and processed faster with Big Data. Till the end, we have enough information to propose implications for future researches on applications of machine learning in each specific sector and also, cybersecurity Risk management also need for implementing and applying ML and IoTs and AI.

Initiative to Release Medicare, Public Health Data

2010 ◽  
Vol 43 (8) ◽  
pp. 46
Author(s):  
JANE ANDERSON
Keyword(s):  
Public Health ◽  
Health Data ◽  
Public Health Data

scholarly journals Opportunities and Challenges in Public Health Data Collection in Southern Asia: Examples from Western India and Kathmandu Valley, Nepal

2017 ◽  
Vol 9 (7) ◽  
pp. 1106 ◽  
Author(s):  
Amruta Nori-Sarma ◽  
Anobha Gurung ◽  
Gulrez Azhar ◽  
Ajit Rajiva ◽  
Dileep Mavalankar ◽  
...  
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Health Data ◽  
Kathmandu Valley ◽  
Western India ◽  
Southern Asia ◽  
Public Health Data

Omaha System Public Health Data: Analysis Methods

2010 ◽  
Vol 58 (2) ◽  
pp. e22-e23
Author(s):  
Karen A. Monsen ◽  
Karen S. Martin ◽  
Bonnie L Westra
Keyword(s):  
Public Health ◽  
Data Analysis ◽  
Health Data ◽  
Public Health Data ◽  
Analysis Methods ◽  
Omaha System ◽  
Data Analysis Methods

scholarly journals Experiences of Delivering a Public Health Data Service

2017 ◽  
Author(s):  
Emma Simpson ◽  
Rob Comber ◽  
Andrew Garbett ◽  
Ed Ian Jenkins ◽  
Madeline Balaam
Keyword(s):  
Public Health ◽  
Health Data ◽  
Data Service ◽  
Public Health Data
Sign in / Sign up

Export Citation Format

Share Document