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| Exploring, modelling and optimization of home care regions |
| Keywords | Computational Intelligence, Spatio-Temporal modelling, Clustering, Regression Analysis, Decision Trees, Heteregoenous Data Analysis. + |
|---|---|
| Level | Master + |
| OneLineSummary | This project is about developing tools and methods for optimization of health care resources using machine learning as the central technology. + |
| Prerequisites | Courses preferable: Learning Systems, Data Mining. Preferable programming skills: R, Python, Matlab. + |
| References | Madigan, E. A., & Curet, O. L. (2006). … Madigan, E. A., & Curet, O. L. (2006). A data mining approach in home healthcare: outcomes and service use. BMC health services research, 6(1), 1. Cheng, B. W., Chang, C. L., & Liu, I. S. (2005). Enhancing care services quality of nursing homes using data mining. Total Quality Management & Business Excellence, 16(5), 575-596. Hirdes, J. P., Poss, J. W., & Curtin-Telegdi, N. (2008). The Method for Assigning Priority Levels (MAPLe): a new decision-support system for allocating home care resources. BMC medicine, 6(1), 1. Harrington, C., Zimmerman, D., Karon, S. L., Robinson, J., & Beutel, P. (2000). Nursing home staffing and its relationship to deficiencies. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 55(5), S278-S287.ces and Social Sciences, 55(5), S278-S287. |
| StudentProjectStatus | Open + |
| Supervisors | Wagner O. De Morais + , Jens Lundström + |
| TimeFrame | Winter 2016 / Spring 2017 + |
| Title | Exploring, modelling and optimization of home care regions + |
| Categories | StudentProject + |
| Modification dateThis property is a special property in this wiki. | 17 October 2016 06:25:13 + |
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