Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline

From medical charts to national census, healthcare has traditionally operated under a paper-based paradigm. However, the past decade has marked a long and arduous transformation bringing healthcare into the digital age. Ranging from electronic health records, to digitized imaging and laboratory reports, to public health datasets, today, healthcare now generates an incredible amount of digital information. Such a wealth of data presents an exciting opportunity for integrated machine learning solutions to address problems across multiple facets of healthcare practice and administration. Unfortunately, the ability to derive accurate and informative insights requires more than the ability to execute machine learning models. Rather, a deeper understanding of the data on which the models are run is imperative for their success. While a significant effort has been undertaken to develop models able to process the volume of data obtained during the analysis of millions of digitalized patient records, it is important to remember that volume represents only one aspect of the data. In fact, drawing on data from an increasingly diverse set of sources, healthcare data presents an incredibly complex set of attributes that must be accounted for throughout the machine learning pipeline. This chapter focuses on highlighting such challenges, and is broken down into three distinct components, each representing a phase of the pipeline. We begin with attributes of the data accounted for during preprocessing, then move to considerations during model building, and end with challenges to the interpretation of model output. For each component, we present a discussion around data as it relates to the healthcare domain and offer insight into the challenges each may impose on the efficiency of machine learning techniques.Comment: Healthcare Informatics, Machine Learning, Knowledge Discovery: 20 Pages, 1 Figur

Real-time model of switched reluctance drive based on a LUT magnetization curve for educational purposes

This paper discusses the implementation of a real-time model of a switched reluctance motor drive for which the parameters of its magnetisation curve are represented by the data in a look-up table. A method of cubic interpolation has been applied for the look-up table approximation in order to provide a high accuracy and realistic performance of the modelled motor drive. The model structure has been optimised for real-time execution in a motion control microcontroller operating under PWM frequency up to 40 kHz. The model is designed to be used in the students' coursework on the specialist subject of electric drive control

Real-time model of switched reluctance drive based on a LUT magnetization curve for educational purposes

This paper discusses the implementation of a real-time model of a switched reluctance motor drive for which the parameters of its magnetisation curve are represented by the data in a look-up table. A method of cubic interpolation has been applied for the look-up table approximation in order to provide a high accuracy and realistic performance of the modelled motor drive. The model structure has been optimised for real-time execution in a motion control microcontroller operating under PWM frequency up to 40 kHz. The model is designed to be used in the students' coursework on the specialist subject of electric drive control

Constructing living buildings: a review of relevant technologies for a novel application of biohybrid robotics

Biohybrid robotics takes an engineering approach to the expansion and exploitation of biological behaviours for application to automated tasks. Here, we identify the construction of living buildings and infrastructure as a high-potential application domain for biohybrid robotics, and review technological advances relevant to its future development. Construction, civil infrastructure maintenance and building occupancy in the last decades have comprised a major portion of economic production, energy consumption and carbon emissions. Integrating biological organisms into automated construction tasks and permanent building components therefore has high potential for impact. Live materials can provide several advantages over standard synthetic construction materials, including self-repair of damage, increase rather than degradation of structural performance over time, resilience to corrosive environments, support of biodiversity, and mitigation of urban heat islands. Here, we review relevant technologies, which are currently disparate. They span robotics, self-organizing systems, artificial life, construction automation, structural engineering, architecture, bioengineering, biomaterials, and molecular and cellular biology. In these disciplines, developments relevant to biohybrid construction and living buildings are in the early stages, and typically are not exchanged between disciplines. We, therefore, consider this review useful to the future development of biohybrid engineering for this highly interdisciplinary application.publishe

Santa Clara Magazine, Volume 39 Number 1, Spring 1997

6 - BLUE SKY INVASION Searching for the American Dream, aerospace workers transform the Santa Clara Valley. By David Beers \u2779, Illustrations by Dug Waggoner 15 - SEEING IS BELIEVING Professor Sally Wood develops software to help students visualize basic engineering concepts. By Laura Trujillo \u2792 18 - CONFRONTING THE SCARS OF CENTURIES A legal challenge to California\u27s Proposition 209 is the latest round in a long- running debate over affirmative action. By Margaret M. Russell 26 - SHADOWY ALLIANCE A recent expose alleging CIA links to the crack cocaine epidemic in California\u27s inner cities raises questions about responsibility and truth in journalism. By Peter Kornbluhhttps://scholarcommons.scu.edu/sc_mag/1063/thumbnail.jp

Perspectives on Human Nature and Their Implications for Business Organizations

Employing psychological principles to reform the structure and agendas of business organizations increases employee fulfillment. This Essay proposes changes in corporate structure in order to nurture employee\u27s mental health in a way that also benefits companies by resulting in greater employee productivity. This Essay argues that the decentralization of business organizations and greater employee involvement in decision-making will improve both quality of life and the environment