Health data sharing for clinical research : Designing a patient-centric approach

The use of Electronic Health Records (EHRs) has seen a breakthrough in clinical research for personalized treatments (Hamburg & Collins, 2010.) Despite the potential advantages of vast EHR data available, constraints of privacy and legislation hinder its use (Rieke et al., 2020.) Health data exists in an interconnected healthcare system ...

Image watermarking for Machine Learning datasets: Using SVD based image watermarking techniques to watermark numerical ML datasets

The media watermarking technique domain has had the last 30 years to develop itself. The non-media side, however, is a way newer sub-domain. [1] The data-gathering process for machine learning algorithms is a tedious and time consuming task. This becomes worse as the scale of these algorithms increases. Thus, protecting the datasets against...

Shapley Values: A Comparison of Definitions and Approximation Methods

The Shapley value method is an explanatory method that describes the feature attribution of Machine Learning models. There are three different definitions of the Shapley values, namely Conditional Expectation Shapley, Marginal Expectation Shapley and Baseline Shapley. A comparison is made between the three definitions and they are applied to one...

Using Machine Learning for University Admission: Mapping the Socio-Technical Issue

Machine learning algorithms were used in in the past decade to assist humans with recruitment and grades assessments in the academic field. For the most part, the algorithms either exacerbated existing biases or output unfair results. This could often be traced back to an ill-implementation of the systems in the social context. The academic...

“What is OUV” revisited: A computational interpretation on the statements of outstanding universal value

The Statements of Outstanding Universal Value (OUV) concerns the core justification for nominating and inscribing cultural and natural heritage properties on the UNESCO World Heritage List, ever since 2007. Ten criteria are specified and measured independently for the selection process. The 2008 ICOMOS Report “What is OUV” has been a successful...

Towards Explaining Automated Credit Decisions: The design of an Explicability Assessment Framework (EAF) for Machine Learning Systems

The use of machine learning systems has great potential to better predict probabilities of default for credit underwriting. Despite this advantage, herewith there exists the substantial risk of discrimination. Moreover, machine learning models with the highest prediction-accuracy are often the least explicable (i.e. explainable). Nonetheless,...

DataDonor: Crowdsourcing health care through digitalization

The importance of value-based health care<br/>Worldwide, health care systems are struggling to control costs while improving care outcomes. An ageing population, increase in chronic patients and shortage in care professionals result in high burdens on our health care systems. Current health care systems are organized around delivering quantity....

Multi-period adaptive fleet planning problem: with Approximate Dynamic Programming

This MSc thesis presents a stochastic modelling approach to the multi-period airline fleet planning problem. Approximate Dynamic Programming (ADP) is used to model the impact of demand uncertainty on fleet decisions. The proposed ADP algorithm applies local value function approximations resulting from Gaussian kernel regressions to estimate...