Decision Making in Medical Application-An Algorithmic Approach

Ashwin Kumar UM (u. a.)

ISBN 10: 6204203908 / ISBN 13: 9786204203904

Published by LAP LAMBERT Academic Publishing, 2021

About this Item

Decision Making in Medical Application-An Algorithmic Approach | Ashwin Kumar UM (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204203904 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 120753383

Bibliographic Details

• Title: Decision Making in Medical Application-An Algorithmic Approach
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 6204203908
• ISBN 13: 9786204203904
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 155 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

A large number of hospitals and healthcare set-ups are continuing to evolve, as they are finding better ways to institutionalize the adoption and universalize the use of healthcare information system (HIS), that assists in data gathering and sharing among inter-departmental (within hospitals) and inter-hospital (between hospitals) networks. Data mining techniques can be used in these settings to eliminate inefficiencies and overcome challenges in health care delivery, as identifying key patterns within the patient level data will help in understanding and thus timely action upon the key determinants of health prevents disease related burden. Finding an optimum algorithm based on data mining technique that is both effective and efficient, while extracting useful information for decision support from such ever growing HIS databases continues to be an unmet need.This work was subjected to ethical clearance and review at the Ethical Review Board (ERB) of the BGS Global hospital, Bangalore, India, and was duly approved before the study initiation. The book demonstrates results of cascading feature selection with Classification algorithm for medical datasets.