Healthcare analytics

2020 ◽  
pp. 211-230
Author(s):  
Yogesh Sharma ◽  
Balusamy Balamurugan ◽  
Sreeji
Keyword(s):  
Healthcare Analytics

scholarly journals Leveraging Deep Learning for Designing Healthcare Analytics Heuristic for Diagnostics

2021 ◽  
Author(s):  
Sarah Shafqat ◽  
Maryyam Fayyaz ◽  
Hasan Ali Khattak ◽  
Muhammad Bilal ◽  
Shahid Khan ◽  
...  
Keyword(s):  
Deep Learning ◽  
Healthcare Analytics

The Promise of Healthcare Analytics

2015 ◽  
Vol 17 (2) ◽  
pp. 7-9 ◽  
Author(s):  
Seth Earley
Keyword(s):  
Healthcare Analytics

Healthcare Analytics

Data Science ◽  
2019 ◽  
pp. 159-172
Author(s):  
Carol Hargreaves
Keyword(s):  
Healthcare Analytics

Process Analytics Model Approach in Healthcare

2020 ◽  
pp. 186-196
Author(s):  
S. Santhosh Kumar ◽  
A. Sumathi
Keyword(s):  
Big Data ◽  
Research And Development ◽  
Process Model ◽  
Data Repository ◽  
Healthcare Analytics ◽  
Process Analytics ◽  
Healthcare Data ◽  
Innovative Solutions ◽  
Treatment Mechanisms ◽  
The Relationship

Process analytics involves the relationship between the doctor, diagnostic centers and patient. The primary advantages of using process analytics in healthcare are expert guidance, global medical assistance, and possible alternate treatment mechanisms. The secondary advantages are the analysis of the same type of disease complications and the creation of a disease-based healthcare data repository. This chapter focuses on the process model-based approach for healthcare analytics. The two emerging techniques Big data and IoT are needed to be incorporated with the process model for storing and analyzing the healthcare data. The first category assists administrators with identifying areas to streamline operations and concretely increase savings. Research and development are crucial aspects of healthcare, providing new innovative solutions and treatments that can be properly tracked, measured, and analyzed.

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