Predictive Analytics in Human Resource Management
Predictive Analytics in Human Resource Management

Author: Shivinder Nijjer

Publisher: Taylor & Francis

Published: 2020-12-03

Total Pages: 237

ISBN-13: 1000208079

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This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to apply and predict various HR outcomes which have an organisational impact, to aid in strategising and better decision-making. The book: Presents key concepts and expands on the need and role of HR analytics in business management. Utilises popular analytical tools like artificial neural networks (ANNs) and K-nearest neighbour (KNN) to provide practical demonstrations through R scripts for predicting turnover and applicant screening. Discusses real-world corporate examples and employee data collected first-hand by the authors. Includes individual chapter exercises and case studies for students and teachers. Comprehensive and accessible, this guide will be useful for students, teachers, and researchers of data analytics, Big Data, human resource management, statistics, and economics. It will also be of interest to readers interested in learning more about statistics or programming.

Trauma Informatics
Trauma Informatics

Author: Kimball I. Maull

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 288

ISBN-13: 1461216362

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Information and the technology to rapidly transmit, analyze, document, and disperse this information are increasing arithmetically, if not logarithmi cally. Arguably, no discipline better exemplifies this trend than medicine. It can be further argued that care of the trauma patient is one of the better examples of informatics and the potential benefit to the health profession als who care for these patients. Maull and Augenstein have provided us with a primer on informatics and its use in trauma care. The subject matter is timely and covers the gamut of trauma care from prehospital to rehabilitation. Who will benefit from trauma informatics? A simple answer would be anyone who takes care of trauma patients. From a broader perspective, however, at least three examples illustrate how trauma informatics can be used today to exert a positive effect on patient outcome. The first example is care of combat casualties, including battlefield resuscitation, evacuation, acute care, and ultimate return to the continental United States. Current technology is such that via global positioning satellite, a corpsman could transmit to a remote area the vital signs and pertinent physical findings of a combat casualty. Furthermore, the location of the corpsman and the casu alty would be precisely known, and consultation and destination disposition would be possible. The injured person, when admitted to a combat support hospital, could be continuously monitored and additional remote consulta tion obtained.