Data Driven Approaches for Healthcare

- Machine learning for Identifying High Utilizers

af

indgår i serie Chapman HallCrc Big Data


Data Driven Approaches for Healthcare
Format:
Bog, hardback
Udgivelsesdato:
07-10-2019
Sprog:
Engelsk
  • Beskrivelse
  • Yderligere info
  • Anmeldelser

Health care utilization routinely generates vast amounts of data from sources ranging from electronic medical records, insurance claims, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal important insights into disproportionate spending patterns. This book presents data driven methods, especially machine learning, for understanding and approaching the high utilizers problem, using the example of a large public insurance program. It describes important goals for data driven approaches from different aspects of the high utilizer problem, and identifies challenges uniquely posed by this problem.Key Features:Introduces basic elements of health care data, especially for administrative claims data, including disease code, procedure codes, and drug codesProvides tailored supervised and unsupervised machine learning approaches for understanding and predicting the high utilizersPresents descriptive data driven methods for the high utilizer populationIdentifies a best-fitting linear and tree-based regression model to account for patients' acute and chronic condition loads and demographic characteristics

Vis mereVis mindre

Udgivelsesdato:
07-10-2019
ISBN13:
9780367342906
Vægt:
376 g
Bredde:
178 mm
Højde:
254 mm
Format:
Hardback
  • Forfattere

  • Bibliotekernes beskrivelse

    25 Halftones, black and white

Vis mereVis mindre

Vis mereVis mindre

Data Driven Approaches for Healthcare

- Machine learning for Identifying High Utilizers

af

indgår i serie Chapman HallCrc Big Data

  • Leveringstid Kan forudbestilles

på lager

Fandt du ikke hvad du søgte?

Hvis denne bog ikke er noget for dig, kan du benytte kategorierne nedenfor til at finde andre titler. Klik på en kategori for at se lignende bøger.