All posts by Lisa Balboa

Using data science to shape business and society

Strong technical skills and a firm code of ethics are central in using data science to drive positive value for business and society. This week I’ve embarked on a personal journey to further develop my analytics skills. Over the next 2 years, I’ll be studying an MSc in Business Analytics at Imperial College alongside my ...

Computers may solve the problems, but will we understand the answers?

From climate change to healthcare, computer algorithms are being developed to help solve some of the world’s biggest problems. But will we understand the answers? An article published yesterday presents this challenge – if we’re using computers to solve some of the key questions in life, then we need to be able to understand the ...

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.

Top 5 health analytics trends to watch out for in 2019

1. Improvements in AI driven by further advances in machine learning techniques  As more health-care specific algorithms are developed, automated clinical decision making is likely to improve. There’s potential to use AI in diagnostics, preventative care and medical treatment. Detecting different types of brain trauma is just one promising future use of AI. 2. Embedding ...

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 ...