Is this AI?
10 October 2024
The University of Leeds has helped train an AI system called Optimise, that looked at health records of more than two million people.
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Of those two million records that were scanned, more than 400,000 people were identified as being high risk for the likes of heart failure, stroke and diabetes.
ID | BMI | Age | IMD Decile | Smoker | Blood Pressure |
---|---|---|---|---|---|
1 | 17 | 49 | 3 | 1 | 110/70 |
2 | 25 | 67 | 1 | 1 | 129/70 |
3 | 20 | 39 | 8 | 0 | 140/90 |
4 | 28 | 81 | 6 | 0 | 130/85 |
5 | 29 | 41 | 4 | 0 | 120/80 |
Data is consistent within each column in the table.
ID | Notes |
---|---|
1 | Shortness of breath |
2 | Patient attended clinic following one week of fever, vomiting, and abdominal pain. |
The length of each sentence is different - data not consistent.
Clustering algorithms like K Nearest Neighbours (KNN) are on the more basic end of the scale, requiring very little computational power.
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“We used UK primary care EHR data from 2,081,139 individuals aged ≥ 30 years…
We trained a random forest classifier using age, sex, ethnicity and comorbidities (OPTIMISE).”1
Pros:
Cons:
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