Knygos.lt nariams
Knygos.lt nariams
- Išsiųsime per 12–18 d.d.
/images/books/11425479/9781615207237.jpg)
- Leidėjas: Medical Information Science Reference
- Metai: 2011
- Puslapiai: 443
- ISBN-10: 1615207236
- ISBN-13: 9781615207237
- Formatas: 22.1 x 28.5 x 3.3 cm, kieti viršeliai
- Kalba: Anglų
Cases on Health Outcomes and Clinical Data Mining (el. knyga) (skaityta knyga) | knygos.lt
Atsiliepimai
Aprašymas
With the healthcare industry becoming increasingly more competitive, there exists a need for medical institutions to improve both the efficiency and the quality of their services. In order to do so, it is important to investigate how statistical models can be used to study health outcomes. Cases on Health Outcomes and Clinical Data Mining: Studies and Frameworks provides several case studies developed by faculty and graduates of the University of Louisville's PhD program in Applied and Industrial Mathematics. The studies in this book use non-traditional, exploratory data analysis and data mining tools to examine health outcomes, finding patterns and trends in observational data. This book is ideal for the next generation of data mining practitioners.
- Leidėjas: Medical Information Science Reference
- Metai: 2011
- Puslapiai: 443
- ISBN-10: 1615207236
- ISBN-13: 9781615207237
- Formatas: 22.1 x 28.5 x 3.3 cm, kieti viršeliai
- Kalba: Anglų
With the healthcare industry becoming increasingly more competitive, there exists a need for medical institutions to improve both the efficiency and the quality of their services. In order to do so, it is important to investigate how statistical models can be used to study health outcomes. Cases on Health Outcomes and Clinical Data Mining: Studies and Frameworks provides several case studies developed by faculty and graduates of the University of Louisville's PhD program in Applied and Industrial Mathematics. The studies in this book use non-traditional, exploratory data analysis and data mining tools to examine health outcomes, finding patterns and trends in observational data. This book is ideal for the next generation of data mining practitioners.
Atsiliepimai