Advances in Decision Analytics

In psychology, decision-making is a cognitive process by which an individual decides on a course of action among various alternatives, based on personal beliefs or a combination of factors, or decides on an opinion that the individual wants to express outwardly. Each decision-making process will aim to produce a final decision, a selection of final choices. These choices can be in the form of an action or a chosen opinion. Analysis is the process of breaking down a complex topic or content into smaller parts in order to better understand it. 

In the present book, nine typical literatures about Decision Analytics published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on applications of advanced analytics, Big Data Analytics, a feedforward deep neural network, comparison performance analysis, systematic review, ect. We hope this book can demonstrate advances in Decision Analytics as well as give references to the researchers, students and other related people.

Components of the Book:
  • Chapter 1
    Translating clinical and patient‑reported data to tailored shared decision reports with predictive analytics for knee and hip arthritis
  • Chapter 2
    State‑of‑the‑art reviews predictive modeling in adult spinal deformity: applications of advanced analytics
  • Chapter 3
    The use of Big Data Analytics in healthcare
  • Chapter 4
    The Types, Roles, and Practices of Documentation in Data Analytics Open Source Software Libraries
  • Chapter 5
    A feedforward deep neural network for predicting the state-of-charge of lithium-ion battery in electric vehicles
  • Chapter 6
    A general model of ambiguous sets to a single-valued ambiguous numbers with aggregation operators
  • Chapter 7
    A comparison performance analysis of eight meta-heuristic algorithms for optimal design of truss structures with static constraints
  • Chapter 8
    A systematic review of sustainable business models: Opportunities, challenges, and future research directions
  • Chapter 9
    A three-stage fuzzy classifier method for Parkinson’s disease diagnosis using dynamic handwriting analysis
Readership: Students, academics, teachers and other people attending or interested in Decision Analytics
Patricia D. Franklin
Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 625 North Michigan Ave, Room 21-051, Chicago, IL 60611, USA.

Rushikesh S. Joshi
Department of Neurological Surgery, University of California, San Francisco, 400 Parnassus Avenue, A850, San Francisco, CA 94143, USA.

R. Stuart Geiger
Berkeley Institute for Data Science, University of California, Berkeley, 190 Doe Library, Berkeley, CA, 94730, USA.

Pritpal Singh
Deep Learning Lab, Department of Data Science and Analytics, Central University of Rajasthan, Ajmer 305817, India.

Nima Khodadadi
The Department of Civil and Architectural Engineering, University of Miami, Coral Gables, FL 33146-0630, USA.

Syed Mithun Ali
Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh.

and more...
Copyright © 2006-2024 Scientific Research Publishing Inc. All Rights Reserved.
Top