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Medical researchers have unlocked an unsettling ability in artificial intelligence (AI): predicting a person's early death.
Scientists recently trained an AI system to evaluate a decade of general health data submitted by more than half a million people in the United Kingdom. Then, they tasked the AI with predicting if individuals were at risk of dying prematurely — in other words, sooner than the average life expectancy — from chronic disease, they reported in a new study.
The predictions of early death that were made by AI algorithms were "significantly more accurate" than predictions delivered by a model that did not use machine learning, lead study author Dr. Stephen Weng, an assistant professor of epidemiology and data science at the University of Nottingham (UN) in the U.K., said in a statement. [Can Machines Be Creative? Meet 9 AI 'Artists']
To evaluate the likelihood of subjects' premature mortality, the researchers tested two types of AI: "deep learning," in which layered information-processing networks help a computer to learn from examples; and "random forest," a simpler type of AI that combines multiple, tree-like models to consider possible outcomes.
Then, they compared the AI models' conclusions to results from a standard algorithm, known as the Cox model.
Using these three models, the scientists evaluated data in the UK Biobank — an open-access database of genetic, physical and health data — submitted by more than 500,000 people between 2006 and 2016. During that time, nearly 14,500 of the participants died, primarily from cancer, heart disease and respiratory diseases.
The Cox model leaned heavily on ethnicity and physical activity, while the machine-learning models did not. By comparison, the random forest model placed greater emphasis on body fat percentage, waist circumference, the amount of fruit and vegetables that people ate, and skin tone, according to the study. For the deep-learning model, top factors included exposure to job-related hazards and air pollution, alcohol intake and the use of certain medications.
When all the number crunching was done, the deep-learning algorithm delivered the most accurate predictions, correctly identifying 76 percent of subjects who died during the study period. By comparison, the random forest model correctly predicted about 64 percent of premature deaths, while the Cox model identified only about 44 percent.
originally posted by: neoholographic
3. Would you want to know if AI marked you for death?
originally posted by: BrianFlanders
I wonder how it calculates a sudden death by freak accident?
originally posted by: BrianFlanders
I wonder how it calculates a sudden death by freak accident?
EDIT - I can see health insurance companies using this garbage to deny claims for treatments. Which, you know. Fine. If there's 99.999% probability that said treatment will NOT have any good impact on the outcome, it makes sense. In every way but one. If a person knows all that but still wants to fight until the last breath, they shouldn't be denied by a greedy insurance company.
originally posted by: Blue Shift
originally posted by: neoholographic
3. Would you want to know if AI marked you for death?
I don't need a machine to know that my time is running out. Odds are very good that I'll die either from cancer or heart disease when I'm around 83. Unless I get hit by a drunk driver or a meteorite lands on me before then.
I will die when I am no longer relevant to the world.
originally posted by: AlexandrosTheGreat
originally posted by: BrianFlanders
I wonder how it calculates a sudden death by freak accident?
EDIT - I can see health insurance companies using this garbage to deny claims for treatments. Which, you know. Fine. If there's 99.999% probability that said treatment will NOT have any good impact on the outcome, it makes sense. In every way but one. If a person knows all that but still wants to fight until the last breath, they shouldn't be denied by a greedy insurance company.
I know you are jonkig but for people who did not read and think it predicts peoples deaths, in reality the study took 500000 people over ten years and 14000 died. it fed the computer the number14000 and the computer guessed76 percent accurately who the 14000 were who died.
they tasked the AI with predicting if individuals were at risk of dying prematurely — in other words, sooner than the average life expectancy — from chronic disease, they reported in a new study.
AI can predict when someone will die with unsettling accuracy
originally posted by: DBCowboy
a reply to: neoholographic
I know this program.
It even told me that I'd die in the next few seco
originally posted by: DBCowboy
a reply to: InTheLight
Insanely happy.