Use the resources linked below to help complete this assessment. Collapse AllModels, Tools, and Data Exploration The set of

Use the resources linked below to help complete this assessment.

Collapse All

Models, Tools, and Data Exploration

The set of readings focus on the collection and use of data to monitor and produce quality outcomes.

· McGonigle, D., & Mastrian, K. (2022). 
Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett. 

Available in the courseroom via the VitalSource Bookshelf link.

·., Rezayi, S., Saeedi, S., Tanhapour, M., & Gholamzadeh, M. (2021). 

Using data mining techniques to fight and control epidemics: A scoping review.
 
Health Technol. 11, 759–771.

· Ristevski, B., & Chen, M. (2018). 

Big data analytics in medicine and healthcare

Journal of Integrative Bioinformatics
15(3), 1–5.

Scope and Standards of Practice

· American Nurses Association. (2015). 


Nursing informatics:
 
Scope and standards of practice

 (2nd ed.)
. Author.

Producing Applications in Practice With Tools

· McGonigle, D., & Mastrian, K. (2022). 
Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett. 

Available in the courseroom via the VitalSource Bookshelf link.

· Chapter 22, “Data Mining as a Research Tool.”

· Bahri, S., Zoghlami, N., Abed, M., & Tavares, J. M. (2018, December 21). 

Big data for healthcare: A survey

IEEE Access
7, 7397–7408.

· Dautov, R., Distefano, S., & Buyya, R. (2019). 

Hierarchical data fusion for smart healthcare

Journal of Big Data
6(1), 1–23.

· Sharma, M., Singh, G., & Singh, R. (2018). 

An advanced conceptual diagnostic healthcare framework for diabetes and cardiovascular disorders

EAI Endorsed Transactions on Scalable Information Systems
5(18), 1–11.

Knowledge Exploration and Data Mining

· McGonigle, D., & Mastrian, K. (2022). 
Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett. 

Available in the courseroom via the VitalSource Bookshelf link.

· Chapter 26, “Our Expanding Realities.”

· Mollayeva, T., Sutton, M., Chan, V., Colantonio, A., Jana, S., & Escobar, M. (2019). 

Data mining to understand health status preceding traumatic brain injury

Scientific Reports
9(1), 1–10.

· Sandhu, R., Kaur, N., Sood, S. K., & Buyya, R. (2018). 

TDRM: Tensor-based data representation and mining for healthcare data in cloud computing environments

The Journal of Supercomputing
74(2), 592–614.

· Zhang, X., Wang, S., Cong, G., & Cuzzocrea, A. (2019). 

Social big data: Mining, applications, and beyond

Complexity
2019, 1–2.

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