More than 10 million older adults aged 60 or over in India could have dementia, akin to the prevalence charges for international locations such because the US and the UK, in accordance with a first-of-its-kind study. Image for Representation.
| Photo Credit: Ok Murali Kumar
More than 10 million older adults aged 60 or over in India could have dementia, akin to the prevalence charges for international locations such because the US and the UK, in accordance with a first-of-its-kind study.
The analysis, printed in the journal Neuroepidemiology, used a man-made intelligence (AI) method referred to as semi-supervised machine studying to analyse knowledge from 31,477 older adults.
The worldwide staff of researchers discovered that the prevalence fee of dementia in adults aged 60 or over in India might be 8.44% — equating to 10.08 million older adults in the nation.
This compares to prevalence charges recorded in comparable age teams of 8.8% in the US, 9% in the UK and between 8.5 and 9% in Germany and France, they mentioned.
The prevalence of dementia was better for many who had been older, had been females, obtained no schooling, and lived in rural areas, the researchers discovered.
“Our research was based on the first and only nationally representative aging study in India with more than 30,000 participating older adults in the country,” mentioned Haomiao Jin, co-author of the study and Lecturer in Health Data Sciences on the University of Surrey, UK.
“AI has a unique strength in interpreting large and complex data like this, and our research found that the prevalence of dementia may be higher than prior estimates from local samples,” Jin mentioned in a press release.
The analysis staff from the University of Surrey, University of Southern California, University of Michigan, each in the US, and All India Institute of Medical Sciences, New Delhi developed an AI studying mannequin.
The mannequin was educated on knowledge, which consisted of 70% labelled dataset with dementia diagnoses from a novel on-line consensus.
The remaining 30% of the information was reserved as a take a look at set to evaluate the AI’s predictive accuracy.
The AI taught itself to foretell dementia standing for unlabelled observations with out dementia diagnoses in the dataset.
“As we are seeing with this research, AI has a huge potential to discover patterns in complex data, improving our understanding of how diseases impact people across very different communities to support the development of precision medical interventions to save lives,” Professor Adrian Hilton, Director of the University of Surrey’s Institute for People-Centered AI, added.
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