Text mining techniques for healthcare provider quality determination : methods for rank comparisons

著者

• Cerrito, Patricia

書誌事項

Text mining techniques for healthcare provider quality determination : methods for rank comparisons

Patricia Cerrito

（Premier reference source）

Medical Information Science Reference, c2010

注記

Includes bibliographical references and index

内容説明・目次

内容説明

Useful to healthcare providers, severity indices conclude which patients are most at risk for infection as well as the intensity of illness while in the hospital. ""Text Mining Techniques for Healthcare Provider Quality Determination: Methods for Rank Comparisons"" discusses the general practice of defining a patient severity index for risk adjustments and comparison of patient outcomes to assess quality factors. This ""Premier Reference Source"" examines the consequences of patient severity models and investigates the general assumptions required to perform standard severity adjustment.

目次

Central limit theorem Hospital reimbursements Kernel density estimation Introduction to ranking models Patient severity index Predictive modeling based on providers Predictive modeling in SAS enterprise miner Provider quality measures Risk adjustment based upon resource utilization Risk adjustment models for provider reimbursements Statistical examination of the Charlson Index Text mining to define patient severity

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BA91584393
• ISBN:
  • 9781605667522
• LCCN: 2009006954
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Hershey, Pa.
• ページ数/冊数: xi, 398 p.
• 大きさ: 29 cm
• 分類:
  • LCC : R853.O87
  • DC22 : 610.28/9
• 件名:
  • LCSH : Outcome assessment (Medical care)
  • LCSH : Data mining
  • LCSH : Medical care -- Evaluation
• 親書誌ID:
  • BA82101750