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Use the resources linked below to help complete this assessment.

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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.

· Chapter 21, “Nursing Research: Data Collection, Processing, and Analysis.”

· Safdari, R., 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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