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2020 – today
- 2020
[j6]Christopher Baechle, C. Derrick Huang, Ankur Agarwal, Ravi S. Behara, Jahyun Goo:
Latent topic ensemble learning for hospital readmission cost optimization. Eur. J. Oper. Res. 281(3): 517-531 (2020)
2010 – 2019
- 2019
- [j5]Piyush Jain
, Ankur Agarwal, Ravi S. Behara, Christopher Baechle:
HPCC based framework for COPD readmission risk analysis. J. Big Data 6: 26 (2019) - 2018
- [j4]Ankur Agarwal, Christopher Baechle, Ravi S. Behara, Xingquan Zhu:
A Natural Language Processing Framework for Assessing Hospital Readmissions for Patients With COPD. IEEE J. Biomed. Health Informatics 22(2): 588-596 (2018) - 2017
- [b1]Christopher Baechle:
A Clinical Decision Support System for the Identification of Potential Hospital Readmission Patients. Florida Atlantic University, USA, 2017 - [j3]Christopher Baechle, Ankur Agarwal, Xingquan Zhu:
Big data driven co-occurring evidence discovery in chronic obstructive pulmonary disease patients. J. Big Data 4: 9 (2017) - [j2]Christopher Baechle, Ankur Agarwal:
A framework for the estimation and reduction of hospital readmission penalties using predictive analytics. J. Big Data 4: 37 (2017) - [c3]Christopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu:
A cost sensitive approach to predicting 30-day hospital readmission in COPD patients. BHI 2017: 317-320 - [c2]Christopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu:
Co-occurring evidence discovery for COPD patients using natural language processing. BHI 2017: 321-324 - [c1]Christopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu:
Latent topic ensemble learning for hospital readmission cost reduction. IJCNN 2017: 4594-4601 - 2016
- [j1]Ankur Agarwal, Christopher Baechle, Ravi S. Behara, Vinaya Rao:
Multi-method approach to wellness predictive modeling. J. Big Data 3: 15 (2016) - 2013
- [r1]Ankur Agarwal, Borko Furht, Mark Conatser, Chris Baechle:
Secure Mobile Framework for Monitoring Medical Sensor Data. Handbook of Medical and Healthcare Technologies 2013: 355-369
Coauthor Index
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