AI Case Study
AI system predicts risk of diabetes with an 88% accuracy rate in tests
Shanghai’s Ruijin Hospital has partnered with the Chinese AI startup 4Paradigm to apply AI in healthcare, particularly chronic health conditions. They have tested an AI-backed diabetes prediction and management product, which they hope will help them identify patients at risk of developing diabetes up to 15 years in advance. The system showed an 88% accuracy in tests on information from 170,000 people.
Healthcare Providers And Services
"According to Tu Weiwei, a machine learning specialist at the tech company, the system was designed to identify those most at risk of developing type 2 diabetes – the most common form of the chronic disease – within the next three years.
It also gave risk forecasts for the next nine and 15 years as a reference, he said."
The model is known as Ruining Knows Sugar, or Ruining Zhitang in Chinese.
R And D
Core Research And Development
"Diabetes is one of the world’s most common and costly chronic illnesses, affecting one in 11 adults globally.
The ratio in China is similar, at about 10 per cent, but given the huge size of its population that means the country had about 110 million diabetes patients in 2016, according to figures from the International Diabetes Federation and World Health Organisation."
"Ruijin is one of the most highly reputed hospitals in China. Its Department of Endocrinology has topped national endocrinology rankings for eight consecutive years. Ruijin also leads the National Metabolic Clinical Research Center and the Key Laboratory of the Ministry of Health. Beijing-based 4Paradigm meanwhile is an expert in transfer learning with funding this year from three major Chinese state-owned banks. The partnership aims at changing the way chronic diseases are detected and managed, with an emphasis on early-stage detection.
Due to the low accuracy of chronic disease screening, the difficulty of targeted intervention, and the lack of health management tools, only 30 percent of Chinese adults with diabetes are aware they have the condition, according to the Ruijing Hospital." (Medium)
In tests the model achieved an accuracy rate of 88 per cent.
No details available
Medical information from 170,000 individuals from across the country, including gender, height, weight, blood sugar levels, smoking and drinking history, and education levels.