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Triage narratives – exploring a widely collected but dramatically underexplored source of emergency department data
DownloadSpring 2023
Emergency departments (ED) around the globe rely on triage to sort which patients can wait safely for care when the demand for service outstrips the resources available. The triage process is typically performed by experienced emergency nurses and can be the earliest documented assessment for...
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The Infinite and the Intimate: Exploring AI Narratives and the Centrality of the Couple-Form
DownloadSpring 2021
This thesis explores how the couple form is represented in four filmic objects: Her (2013), Bladerunner 2049 (2017), Ex Machina (2015), and “Be Right Back,” an episode of the TV series Black Mirror. I will argue that each of these films demonstrate that the couple fixates on the discreteness...
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Fall 2023
Curiosity appears to motivate and guide effective learning in humans, which has led to high hopes in the machine learning community for machine analogues of curiosity. While a variety of machine curiosity algorithms have been introduced, they are rarely compared with other existing curiosity...
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2022-04-05
Konnikov, Alla, Rets, Irina, Hughes, Karen D., Al-Ani, Jabir Alshehabi, Denier, Nicole, Ding, Lei, Hu, Shenggang, Hu, Yang, Jiang, Bei, Kong, Linglong, Tarafdar, Monideepa, Yu, Dengdeng
The BIAS case study describes the aims and objectives of the ‘BIAS: Responsible AI for labour market equality’ project, the research process, and the lessons learned at the mid-way point of the project. It draws on two main sources of information: interviews conducted internally with six founding...
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Proxying the Data Body: Artificial Intelligence, Federated Identity, and Machinic Subjection
Download2020-08-06
Academic libraries have recently seen a shift from self-management of user-authentication of licensed resources themselves, to cloud-based implementations of "federated identity" technologies. Such technologies aim to solve the problems of fragile access to licensed resources while also better...
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Predicting Uterine Deformation Due to Applicator Insertion in Pre-Brachytherapy MRI Using Deep Learning
DownloadSpring 2023
In locally advanced cervical cancer (LACC), brachytherapy (BT) remains the gold standard for boosting to curative doses in radiotherapy. Progress towards balancing target and routine tissue dosimetry for better clinical outcomes has been made possible by magnetic resonance imaging (MRI)-guided...
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Learning Individual Readmission-Free Survival Distributions using Longitudinal Medical Events
DownloadFall 2023
The rate of 30-day hospital readmission is a common measurement of hospital quality, which can affect the funding a hospital receives. Over a quarter of readmissions are estimated to be preventable with adequate interventions, but these interventions are themselves costly. For this reason, many...
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2020
Healthcare Fraud is an act that causes a loss of billions of dollars every year across the world. The impact of healthcare fraud is very far-reaching and affects the efficiency of healthcare systems. To thwart the perpetrators early on, intelligent fraud detection technologies are required to...
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Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences
DownloadFall 2020
Policy gradient methods typically estimate both explicit policy and value functions. The long-extant view of policy gradient methods as approximate policy iteration---alternating between policy evaluation and policy improvement by greedification---is a helpful framework to elucidate algorithmic...
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Fall 2018
The objective of this work is to design a scheme to control the power flow of a hybrid renewable energy system with multiple renewable energy sources with the focus on solar energy and wind energy and multiple energy storage systems. The use of energy storage is necessary due to the intermittency...