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210512 ||| eng |
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|a books978-3-0365-0099-7
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| 020 |
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|a 9783036500997
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| 020 |
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|a 9783036500980
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| 100 |
1 |
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|a Nieminen, Pentti
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| 245 |
0 |
0 |
|a Medical Informatics and Data Analysis
|h Elektronische Ressource
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| 260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2021
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| 300 |
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|a 1 electronic resource (250 p.)
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| 653 |
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|a cervical injury
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| 653 |
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|a characteristic life
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| 653 |
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|a data mining
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| 653 |
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|a compartmental model
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| 653 |
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|a biostatistics
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| 653 |
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|a mathematical models
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| 653 |
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|a deep belief network
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| 653 |
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|a n/a
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| 653 |
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|a GVF
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| 653 |
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|a performance evaluation matrix (PEM)
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| 653 |
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|a data analysis
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| 653 |
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|a statistical computing
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| 653 |
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|a phased long short-term memory
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| 653 |
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|a prostate imaging
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| 653 |
|
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|a deep learning
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| 653 |
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|a neck pain
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| 653 |
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|a Medicine / bicssc
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| 653 |
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|a Monte Carlo
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| 653 |
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|a health
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| 653 |
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|a Active Contour Models
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| 653 |
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|a importance-satisfaction (I-S) model
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| 653 |
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|a skewed data
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| 653 |
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|a retirement threshold
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| 653 |
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|a service quality performance matrix (SQPM)
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| 653 |
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|a health care
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| 653 |
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|a voice of customer (VOC)
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| 653 |
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|a sparse FCM
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| 653 |
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|a ICD coding
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| 653 |
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|a bird swarm algorithm
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| 653 |
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|a inertial sensors
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| 653 |
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|a Type I error
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| 653 |
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|a heuristic approach
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| 653 |
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|a vocal fatigue
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| 653 |
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|a prostate cancer
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| 653 |
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|a Long-term care (LTC)
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| 653 |
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|a diabetes control
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| 653 |
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|a decision support system
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| 653 |
|
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|a South Korean female
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| 653 |
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|a case study
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| 653 |
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|a data presentation
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| 653 |
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|a software tool
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| 653 |
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|a snake segmentation
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| 653 |
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|a neck surface accelerometer
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| 653 |
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|a mobile assistant
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| 653 |
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|a hierarchical classification
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| 653 |
|
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|a statistics
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| 653 |
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|a publications
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| 653 |
|
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|a medical informatics
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| 653 |
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|a Iterative simulation
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| 653 |
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|a vocal distance dose
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| 653 |
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|a power simulation
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| 653 |
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|a heart disease diagnosis
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| 653 |
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|a reporting
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| 653 |
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|a maximum lifespan
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| 653 |
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|a surgery scheduling
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| 653 |
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|a electronic healthcare
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| 653 |
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|a data anonymization
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| 653 |
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|a castration-resistant prostate cancer
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| 653 |
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|a age-dependent stretched exponent
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| 653 |
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|a t-test
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| 653 |
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|a modified stretched exponential function
|
| 653 |
|
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|a medicine
|
| 653 |
|
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|a GLM
|
| 700 |
1 |
|
|a Nieminen, Pentti
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
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|b DOAB
|a Directory of Open Access Books
|
| 500 |
|
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 024 |
8 |
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|a 10.3390/books978-3-0365-0099-7
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/68422
|z DOAB: description of the publication
|
| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/3438
|7 0
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 610
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| 082 |
0 |
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|a 500
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| 082 |
0 |
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|a 700
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| 520 |
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|a During recent years, the use of advanced data analysis methods has increased in clinical and epidemiological research. This book emphasizes the practical aspects of new data analysis methods, and provides insight into new challenges in biostatistics, epidemiology, health sciences, dentistry, and clinical medicine. This book provides a readable text, giving advice on the reporting of new data analytical methods and data presentation. The book consists of 13 articles. Each article is self-contained and may be read independently according to the needs of the reader. The book is essential reading for postgraduate students as well as researchers from medicine and other sciences where statistical data analysis plays a central role.
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