AI Death Prediction Calculator Online


Artificial intelligence algorithms can now predict when you will die. Advances in artificial intelligence algorithms claim to predict when people will die within four years more than 75% of the time. The project will shed light on the development of AI, whose involvement in predicting deaths has been going on for years, by looking at factors such as income, occupation and whether they have broken a bone.

It is based on an AI machine learning transformer, OpenAI’s GPT AI model. It learns to predict what will happen next based on the words before it, and for this the developers used data from 6 million Danes. Well, it is extremely accurate; it’s a matter of life and death. AI Death is designed to predict with eerily precise accuracy when a person will die. Have you ever been obsessed with online death calculators? The new AI death prediction calculator trains a deep neural network using 2 million hospital records to predict when a patient will die with up to 90% accuracy.

Life2vec: AI Calculator for Death Prediction

Danish researchers have developed Life2vec, a machine learning tool that can predict human deaths. It continues to evolve to be able to build ‘individual human life trajectories’, using health, social and environmental factors to predict when you will die.

Not only that, but it can also predict how much money you will have when death is near. Life2vec has been tested on an age group between 35 and 65 years, half of whom died between 2016 and 2020. It can predict almost anything, including death, because people have been working on it for years (e.g. insurance companies), giving a good idea of ​​what is possible.

The tool tracks social trends and makes predictive predictions, especially in the insurance sector, which is based on protection. Analysts used it to discover which subjects were likely to live at least four years, and the dataset enables the construction of sequence-level representations of individual human life trajectories by combining risk and analysis with personal data entered by users, such as age, gender, diet, lifestyle habits, family medical history, etc.

It is used to collect data from users, including age, health, education, job, income and other life events, but not to predict individual outcomes. Observations show that individual lives develop in the space of different types of events. It almost perfectly predicted who would die more than three-quarters of the time in 2020. Previous research shows that certain lifestyles can lead to longer or shorter lives.

None of the study participants were informed of their death prediction. It was said that AI would predict who would die in 2020 about 78% of the time. This program can predict personalities and decisions to take an international step. It could predict the results of a personality test more accurately than a model trained specifically for the task.

Developers have acknowledged the concerns and are working to improve privacy, but they have also established guidelines to prevent misuse of tools. In addition, Life2vec uses information such as income, occupation and medical data to determine how long you will live. Insurers are certainly interested in this new predictive method. The majority of decisions are made using a type of AI called a generalized linear model, which is rudimentary compared to this research.

AI death calculator

Using the pre-trained AI model, Life2vec death calculators include factors such as smoking, exercise habits, gender and poor mental health. The tool is not yet public because it is trained on Danish data, making it not suitable for certain situations or regions. Accuracy depends on the dataset being trained on. On average the margin of error is +/- 5 years. Forecasts are more accurate in the short term and become less accurate over longer periods.

To generate a report on the overall forecast, it gives users a code. For example, S52 for a broken forearm or IND4726 for working in a tobacconist. Using the code, it generates a report on the user’s data in a sentence that supports general predictions.

Life2vec report

The report was published in the Nature Computational Science Online Journal. The report found that factors influencing early deaths include mental health problems, with men being more susceptible. Skilled professionals in leadership roles with higher incomes are reportedly associated with longer lifespans.

Therefore, the predictions may not translate outside Denmark, despite the tools used to evaluate the model’s performance and efficiency. However, it should not be used to predict real people.

Life2vec says that an insurance company should not use this AI model because the idea of ​​insurance is to share knowledge. To know about the death of unfortunate individuals affected by an incident or death.


Scientists have worked to predict death using blood and other physical and medical characteristics. These algorithms can prevent deaths. However, machine learning-based AI Life2vec data may not be useful in the future. Potential applications include clinical decision making, patient empowerment, health management, drug and clinical trials, and healthcare policy planning.

To protect users’ privacy, the dataset will not be made public. Consumers will inevitably be able to obtain information based on their own predictions. We have yet to determine whether this AI has ethical considerations, privacy risks, psychological harm, algorithmic bias, dehumanization effects, or unintended consequences.

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