eBooks :: Kembali

eBooks

Practical predictive analytics and decisioning systems for medicine: informatics accuracy and cost-effectiveness for healthcare administration and delivery including medical research

Nomor Panggil e20480354
Pengarang/kontributor lain
Subjek
Penerbitan Amsterdam: Academic Press, 2015
Kata Kunci medicine · healthcare administration · medical research ·
 Info Lainnya
Sumber Pengatalogan LibUI eng rda
Tipe Konten text (rdacontent)
Tipe Media computer (rdamedia)
Tipe Carrier online resource (rdacarrier)
Deskripsi Fisik xxxv, 1074 pages : illustration
Tautan https://www.sciencedirect.com/book/9780124116436/practical-predictive-analytics-and-decisioning-systems-for-medicine
  • Ketersediaan
  • File Digital: 1
  • Ulasan
  • Sampul
  • Abstrak
  • Tampilan MARC
Nomor Panggil No. Barkod Ketersediaan
e20480354 02-18-077484579 TERSEDIA
Ulasan:
Tidak ada ulasan pada koleksi ini: 20480354
With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses some of the most pressing issues and challenges where data integrity is compromised: patient safety, patient communication, and patient information. Through the use of predictive analytic models and applications, this book is an invaluable resource to predict more accurate outcomes to help improve quality care in the healthcare and medical industries in the most cost efficient manner.
Practical Predictive Analytics and Decisioning Systems for Medicine provides the basics of predictive analytics for those new to the area and focuses on general philosophy and activities in the healthcare and medical system. It explains why predictive models are important, and how they can be applied to the predictive analysis process in order to solve real industry problems. Researchers need this valuable resource to improve data analysis skills and make more accurate and cost-effective decisions.
004
0209780124116436
022
040LibUI eng rda
041eng
049[02-18-077484579]
053[02-18-077484579]
082
090e20480354
100
110
111
240
245|a Practical predictive analytics and decisioning systems for medicine: informatics accuracy and cost-effectiveness for healthcare administration and delivery including medical research |c Linda A. Winters-Miner, Pat S. Bolding, Joseph M. Hilbe, Mitchell Goldstein, Thomas Hill, Robert Nisbet, Nephi Walton, Gary D. Miner
246
250
260
260|a Amsterdam |b Academic Press |c 2015
270
300xxxv, 1074 pages : illustration
310
321
336text (rdacontent)
337computer (rdamedia)
338online resource (rdacarrier)
340pdf
362
490
500
502
504
515
520With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses some of the most pressing issues and challenges where data integrity is compromised: patient safety, patient communication, and patient information. Through the use of predictive analytic models and applications, this book is an invaluable resource to predict more accurate outcomes to help improve quality care in the healthcare and medical industries in the most cost efficient manner. Practical Predictive Analytics and Decisioning Systems for Medicine provides the basics of predictive analytics for those new to the area and focuses on general philosophy and activities in the healthcare and medical system. It explains why predictive models are important, and how they can be applied to the predictive analysis process in order to solve real industry problems. Researchers need this valuable resource to improve data analysis skills and make more accurate and cost-effective decisions.
533
534
536[Damas 2016]
546
590
650Medicine -- Data processing
653medicine; healthcare administration; medical research
700Winters-Miner, Linda A., author; Bolding, Pat S., author; Hilbe, Joseph M., author; Goldstein, Mitchell, author; Hill, Thomas, author; Nisbet, Robert, author; Walton, Nephi, author; Miner, Gary D., author
710
711
850
852
856https://www.sciencedirect.com/book/9780124116436/practical-predictive-analytics-and-decisioning-systems-for-medicine
866
900[03/12/2018]
902[]
903[]