Register for the launch event on 29 March 2021 here (registration has passed). Click here to visit the dashboard.
Visit our What Women Want dashboard!
Fast Data Science - London
Fast Data Science has been working on a digital Natural Language Processing dashboard for White Ribbon Alliance (WRA). WRA is a global nonprofit which promotes reproductive, maternal and newborn health and rights.
In 2019, WRA did a survey called What Women Want, where they asked over a million women and adolescent girls around the world:
What is your top request for your maternal and reproductive healthcare?
From 25 March 2021, you will be able to explore their responses on our interactive dashboard, powered by Plotly Dash and Python and running on Google Cloud Platform.
Using bespoke Natural Language Processing, we have categorised their responses into 39 categories, such as Water, Sanitation, and Hygiene (WASH). Using our dashboard, you can see clearly how survey responses in natural language are related to age, location, and type of ask. We even have an N-gram explorer view (unigrams, bigrams, trigrams).
Please click here (registration has passed) to register for the launch event on 25 March at midday UK time.
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We are excited to introduce the new Harmony Meta platform, which we have developed over the past year. Harmony Meta connects many of the existing study catalogues and registers.
Guest post by Jay Dugad Artificial intelligence has become one of the most talked-about forces shaping modern healthcare. Machines detecting disease, systems predicting patient deterioration, and algorithms recommending personalised treatments all once sounded like science fiction but now sit inside hospitals, research labs, and GP practices across the world.
If you are developing an application that needs to interpret free-text medical notes, you might be interested in getting the best possible performance by using OpenAI, Gemini, Claude, or another large language model. But to do that, you would need to send sensitive data, such as personal healthcare data, into the third party LLM. Is this allowed?
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