Author:
Nambiar Jyothi Ravindran,Prakash Gopalakrishnan
Reference23 articles.
1. Cucciare MA, O’Donohue W (2006) Predicting future healthcare costs: how well does risk-adjustment work? J Health Organ Manag 20(2):150–162. pMID:16869351
2. Medicaid. A small share of enrollees consistently accounted for a large share of expenditures, no. 15-460. United States Government Accountability Office
3. Pandey S, Supriya M, Shrivastava A (2017) Data classification using machine learning Approach. In: Thampi S, Mitra S, Mukhopadhyay J, Li KC, James A, Berretti S (eds) Intelligent systems technologies and applications, ISTA 2017. Advances in intelligent systems and computing, vol 683. Springer
4. Sheeran M, Steele R (2017) A framework for big data technology in health and healthcare. In: 2017 IEEE 8th annual ubiquitous computing, electronics and mobile communication conference (UEMCON)
5. Nambiar R, Bhardwaj R, Sethi A, Vargheese R (2013) A look at challenges and opportunities of big data analytics in health care. In: International conference on big data 2013. IEEE.
http://dx.doi.org/10.1109/BigData.2013.6691753
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. AI in Healthcare;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2024-05-14
2. An overview of Business Intelligence research in healthcare organizations using a topic modeling approach;2023 13th International Conference on Computer and Knowledge Engineering (ICCKE);2023-11-01
3. Health Insurance Amount Prediction Using Supervised Learning;2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS);2022-10-10
4. Medical Insurance Cost Prediction Using Machine Learning Algorithms;Cyber Technologies and Emerging Sciences;2022-08-30
5. Implicit Multidimensional Projection of Local Subspaces;IEEE Transactions on Visualization and Computer Graphics;2021-02