A new one Research According to the Chat GPT-like, trained from the life stories of more than a million citizens Artificial intelligence The system can predict people’s lives as well as their risk of early death very accurately.
Scientists at the Technical University of Denmark (DTU) said the artificial intelligence model was trained with personal data from the Danish population and predicted people’s chances of dying more accurately than any existing system. is able to predict.
In the study, researchers analyzed health and labor market data on six million Danish people collected from 2008 to 2020, including people’s education, doctor and hospital visits, disease diagnoses, income and occupation.
Scientists trained a large language model dubbed ‘life2vec’ by converting the data set into words, similar to the technology behind AI apps like ChatGPT.
According to the study, published Tuesday in the scientific journal Nature Computational Science, once an artificial intelligence model learns patterns in the data, it can outperform other advanced systems and accurately predict personality and time of death. Can predict outcomes.
Researchers took data from a group of people aged 35 to 65, half of whom died between 2016 and 2020, and asked an artificial intelligence system to predict who lived and who died. .
They found that the system’s predictions were 11 percent more accurate than any other existing artificial intelligence model and a method used by life insurance companies to price policies.
Study author Sun Lehmann of DTU said: ‘What is interesting about this system is that it treats human life as a long sequence of events, just as a sentence in a language consists of several words. .’
According to him: ‘This is usually the kind of task that transformer models are used for in artificial intelligence, but in our experiments we use them to analyze what we call life sequences, human life. Events that occurred in.’
Using the model, the researchers sought answers to common questions such as how likely a person is to die within four years.
They found that the model’s responses were consistent with existing findings such that, when all other factors were taken into account, those with higher positions or higher incomes were more likely to survive and were less likely to be male, skilled, or have mental illness. People with the diagnosis have a higher risk of dying.
“We used the model to address the fundamental question of how well we can predict your future events based on your past circumstances and events,” Dr. Lehmann said.
This section contains related reference points (Related Nodes field).
“What excites us scientifically is not the prediction, but the aspects of the data that enable the model to provide such accurate answers,” he added.
The model can also accurately predict personality test results in a segment of the population much better than existing artificial intelligence systems.
“Our framework allows researchers to identify new potential mechanisms that influence life outcomes and the likelihood associated with personalized interventions,” the researchers wrote in the study.
However, scientists cautioned that life insurance firms should not use this model due to ethical concerns.
Dr Lehmann told the journal ‘New Scientist’: ‘Obviously our model should not be used by any insurance company because the concept in terms of insurance is who is the unfortunate victim of an accident or death or losing a bag. Maybe, we can sort of share the burden by not adding information about it.’
The researchers also warn that there are other ethical issues regarding the use of the ‘life2vec’ system such as the protection of sensitive data, privacy and the role of bias in the data.
He said: ‘We emphasize that our job is to explore possible scenarios but it should only be used in real-world applications under regulations that protect people’s rights.’
For authentic news and current affairs analysis, join Independent Urdu’s WhatsApp channel here. click do
!function(f,b,e,v,n,t,s)
{if(f.fbq)return;n=f.fbq=function(){n.callMethod?
n.callMethod.apply(n,arguments):n.queue.push(arguments)};
if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version=’2.0′;
n.queue=[];t=b.createElement(e);t.async=!0;
t.src=v;s=b.getElementsByTagName(e)[0];
s.parentNode.insertBefore(t,s)}(window,document,’script’,
‘https://connect.facebook.net/en_US/fbevents.js’);
fbq(‘init’, ‘2494823637234887’);
fbq(‘track’, ‘PageView’);
#Artificial #intelligence #accurately #predict #time #death
2024-09-11 08:18:12
How does the Life2vec model improve predictions of life expectancy compared to traditional methods?
Table of Contents
Revolutionary AI Model Predicts Life Expectancy and Risk of Early Death with Unprecedented Accuracy
A groundbreaking study by researchers at the Technical University of Denmark (DTU) has led to the development of an artificial intelligence (AI) model that can predict people’s life expectancy and risk of early death with remarkable accuracy. This innovative model, dubbed “life2vec,” is trained on personal data from the Danish population and has outperformed existing systems in predicting life outcomes.
How Life2vec Works
Life2vec is a large language model that analyzes health and labor market data from over six million Danish citizens collected between 2008 and 2020. This data includes information on education, doctor and hospital visits, disease diagnoses, income, and occupation. By converting the data into words, similar to the technology behind AI apps like ChatGPT, the model can identify patterns and relationships that allow it to make accurate predictions about life expectancy and mortality risk.
Accuracy and Capabilities
The life2vec model has been shown to be 11% more accurate than any other existing AI model and a method used by life insurance companies to price policies. It can accurately predict personality test results in a segment of the population and has been used to address fundamental questions about how well we can predict future events based on past circumstances and events.
Ethical Concerns
While the life2vec model has the potential to revolutionize the field of healthcare and insurance, scientists have raised ethical concerns about its use. Dr. Sun Lehmann, the study’s author, cautioned that life insurance firms should not use the model due to ethical concerns, including the protection of sensitive data, privacy, and the role of bias in the data. The researchers emphasize that their job is to explore possible scenarios, but the model should only be used in real-world applications under regulations that protect people’s rights.
Other Applications of Life2vec
The life2vec model has the potential to be used in a variety of applications beyond insurance and healthcare. For example, it could be used to identify new potential mechanisms that influence life outcomes and the likelihood associated with personalized interventions. However, it is essential to address the ethical concerns surrounding the use of this technology to ensure that it is used responsibly and for the greater good.
Online Platforms Utilizing Life2vec Technology
Several online platforms, such as AI Death Calculator [[1]]and Life2vec.io [[2]], have already begun utilizing the life2vec technology to estimate life expectancy and mortality risk. These platforms provide a valuable tool for individuals looking to understand their health risks and take proactive steps to improve their wellbeing.
the life2vec model is a groundbreaking AI technology that has the potential to revolutionize the field of healthcare and insurance. While it is essential to address the ethical concerns surrounding its use, the benefits of this technology cannot be ignored. As researchers continue to explore the capabilities and limitations of life2vec, it is crucial to prioritize responsible and ethical use of this technology.
References:
[1] AI Death Calculator – Life2vec (https://deathcalculator.ai/)
[2] Life2vec.io AI Death Calculator | Life Expectancy Calculator (https://life2vec.io/)
[3] Life2Vec the AI model that predicts the date of death (https://4imag.com/life2vec-the-ai-model-that-predicts-the-date-of-death/)
using sequences of life-events to predict human lives
Predicting Human Lives: A New Frontier in Artificial Intelligence
A recent breakthrough in artificial intelligence (AI) has led to the development of a system that can predict people’s lives, including their risk of early death, with uncanny accuracy. This groundbreaking research, conducted by scientists at the Technical University of Denmark (DTU), has the potential to revolutionize the way we understand human life and death.
The Life2Vec Model
The system, dubbed “life2vec,” is a large language model that was trained on personal data from the Danish population. By converting the data into words, similar to the technology behind AI apps like ChatGPT, the researchers were able to analyze the data and identify patterns that can predict human life outcomes [[1]].
Predicting Death and Personality
The life2vec model is able to predict people’s chances of dying more accurately than any existing system, outperforming other advanced models by a wide margin [[2]]. In addition, the model can also accurately predict personality test results in a segment of the population much better than existing AI systems.
Analyzing Life Sequences
The system treats human life as a long sequence of events, similar to a sentence in a language consisting of several words[[[3]]. By analyzing these life sequences, the model is able to identify patterns that can predict life outcomes, including the risk of early death.
Ethical Concerns
While the life2vec model holds great promise, the researchers are cautious about its potential use in certain industries, such as life insurance. Dr. Lehmann, the study author, warns that the model should not be used by insurance companies due to ethical concerns, as it could lead to unfair biases in the system [[4]].
Future Implications
The life2vec model has the potential to revolutionize various fields, including healthcare, education, and social sciences. By identifying new potential mechanisms that influence life outcomes, the model can help researchers develop personalized interventions and improve the overall quality of life.
Conclusion
The life2vec model is a groundbreaking innovation in artificial intelligence that has the potential to transform our understanding of human life and death. While there are ethical concerns surrounding its use, the model holds great promise for improving the human experience.
References
[1] Savcisens, G. (2024). Using sequences of life-events to predict human lives. Nature Computational Science.
[2] Japan Times. (2024). How long you got? Danish AI algorithm aims to predict life, death.
[3] Life2Vec. (2024). Official Model and Publication Source.
[4] New Scientist. (2024). AI can predict your personality and life expectancy – but should it?
