Category: Data Science

Actuaries championing data science

It’s great to see John Taylor championing data science within the actuarial profession as he begins his term as IFoA President. Actuaries are uniquely placed to leverage the latest data science techniques. We can combine these with our strong understanding of business, finance and risk management. By embedding data science into our actuarial work we ...

Embedding fairness into algorithmic decision-making

Last month, ethics guidelines for trustworthy AI were presented by the European Commission’s High-Level Group on AI. They highlight the principle of fairness as one of the 4 ethical principles for trustworthy AI and provided a pilot assessment list to help stakeholders verify that key ethical requirements have been met in operationalising AI. One area ...

Divining with data

Health service, everyday (wearables & IoT) and genomic big data could be harnessed to forecast and overcome bottlenecks in the health system. Read my article on Divining with Data published in the April 2019 edition of The Actuary magazine.

Leveraging big data to transform healthcare through predictive modelling

This week, I’ll be presenting at the Erasmus+ Jean Monnet Conference on Competition, Big Data and Fundamental Rights on the topic of leveraging big data to transform healthcare through predictive modelling. I will look at how big data sets are already being used in predictive models to improve healthcare. I’ll also be exploring the challenges ...

Can we use wearable tech to reduce society’s disease burden?

The chronic disease burden is continuing to rise – with record numbers being diagnosed with conditions including cardiovascular disease, diabetes, cancer, chronic respiratory disease and mental illness. In developed countries, chronic diseases are often the most expensive health conditions to treat and they account for more than 60% of deaths worldwide. An increase in physical ...

Using Predictive Analytics to Improve Healthcare Forecasting

On 28 November, I’ll be presenting my latest research paper for the IFoA on the topic of Using Predictive Analytics to Improve Healthcare Demand Forecasting. In simple terms, predictive analytics is the process of learning from historical data to make predictions about future unknowns and can involve either supervised or unsupervised learning. The paper looks ...

Using data science to help reduce hospital admissions

Nearly 350,000 patients spend more than three weeks in NHS hospitals in England each year. This week NHS England announced plans to try to reduce the number of long-staying patients by 25% ahead of the winter flu season. The plan appears to be focused on reducing admissions by increasing access to primary care, providing more ...

Preventing the NHS winter crisis through predictive analytics

Despite plans put in place in September for 3,000 more beds to be made available this winter, between Christmas Day and New Year more than 20 NHS Trusts in England reported that they were at 100% operating capacity. As a result of demand for hospital care exceeding supply, non-urgent operations have been cancelled this month ...