AI Review

What is AI Death Predictor? & How is it Work

The AI Death Predictor ek artificial intelligence model hai jo Denmark ke poore population ke personal data pe trained hai.

 Is model ko, jo Life2vec ke naam se jaana jata hai, ek insaan ki maut hone ki chances existing models se jyada accurately predict kar sakta hai, including wo jo insurance industry me use hote hain.

 Ye aadmi ki history banane waali life events ki series analyze karta hai aur isse dikhaya gaya hai ki ye death ka time aur other factors jaise personality ko high accuracy se predict kar sakta hai.

Predictions pata chala 11% se jyada accurate hai compared to koi bhi other existing AI model ya methods jo life insurance companies use karti hain.

Model pe ameer dataset pe train kiya gaya tha including doctor aur hospital visits, diagnoses, income aur occupation.

AI Death Predictor

AI Death Predictor personal data aur life events ke basis par mortality predict karne me AI ka istemaal karne me ek significant advancement hai.

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Yeh AI model healthcare me ek wider trend ka hissa hai, jaha AI algorithms develop kiye ja rahe hain mortality predict karne ke liye various factors ke basis par, jaise body measurements.

Ek study indicate karta hai ki an AI algorithm body composition measurements use karke lung cancer, cardiovascular disease, aur overall mortality predict kar sakta hai.

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How does AI Death Predictor work

The AI Death Predictor, Life2vec ke naam se jaana jata hai, ek insaan ki life events analyze karke unki maut hone ki chances predict karta hai, saath hi other factors jaise personality aur death ka time bhi.

 Ise Denmark ke population ke personal data pe, including health, education, occupation, aur income pe train kiya gaya tha.

 Model ko train kiya gaya tha taaki human life ko ek sequence of events ki tarah dekhe, jaise ek language me ek sentence words ki ek series hoti hai.

 In life sequences ko analyze karke, AI model ek individual ke future ke bare me unke past conditions aur events ke basis par predictions kar sakta hai.

AI Death Predictor ke predictions pata chala 11% jyada accurate hai compared to koi bhi existing AI model ya life insurance companies jo use karti hai.

Life2vec model ko ameer dataset pe train kiya gaya tha, including doctor aur hospital visits, diagnoses, income, aur occupation.

Ise 35 se 65 saal ke age group ke logon pe test kiya gaya tha, jinme se aadhe ka 2016 se 2020 ke bich maut ho chuki thi, aur pata chala prediction accuracy 79% thi chance predict karne me ki aadmi agle chaar saal me mar jayega.

AI Death Predictor ek insaan ki life events analyze karke unki mortality aur related factors predict karta hai, aur apne predictions me high accuracy dikhayi hai jispe Denmark ke population ke data pe training di gayi thi.

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Death Prediction Algorithm

The AI Death Predictor, Life2vec ke naam se bhi jaana jata hai, ek algorithm hai jo ek insaan ki life ke various aspects predict karne ke liye develop kiya gaya hai, including unki health, income, aur premature death hone ki possibility.

 Is model ko poore Denmark ke population ke personal data pe train kiya gaya tha, 2008 se 2016 tak ki period cover karke.

Ye algorithm ek insaan ki life events ko ek sequence of events ki tarah analyze karta hai, jaise ki ek sentence me hoti hai.

In life sequences me patterns identify karke, algorithm future ke liye predictions kar sakta hai, jaise death hone ke chances, personality, aur death ka time.

Model ke predictions 78% time accurate nikle, aur yeh current life insurance company models aur AI models se 11% jyada accurate hai.

Algorithm ki training data me health, employment aur financial records ke saath education, doctor aur hospital visits, diagnoses, income, aur occupation jaise rich dataset shamil tha.

AI ke istemaal se predictive analytics ke liye is model ki high accuracy ek significant advancement hai personal data aur life events ke basis par.

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What is the name of the AI Death Predictor model?

AI Death Predictor model ko Life2vec kehte hain. Is model ko Denmark ke Technical University ke scientists ne develop kiya hai aur Denmark ke population ke personal data pe train kiya gaya hai.

 jisme health, employment, aur financial records ke saath education, doctor aur hospital visits, diagnoses, income, aur occupation ka bhi data shamil hai.

Life2vec transformer models ka istemaal karke analyse karta hai jo researchers “life sequences” kehte hain, jo insaan ke life me hue events hote hain.

 Pata chala hai ki model death ka time aur other factors jaise personality ko high accuracy se predict kar sakta hai.

Aur iske predictions current AI models aur life insurance companies ke methods se 11% jyada accurate nikle hain.

Who developed the AI Death Predictor model?

AI Death Predictor model, jise Life2vec bhi kehte hain, Denmark ke Technical University (DTU) ke scientists ne develop kiya hai.

Is model ko researchers Sune Lehmann, Jørgensen, aur unke colleagues ne create kiya hai.

 AI model ko Denmark ki population ke personal data par train kiya gaya tha, jisme health, employment aur financial records ke saath education, doctor aur hospital visits, diagnoses, income aur occupation jaise data shamil tha.

Life2vec transformer models ka use karta hai AI me jo researchers “life sequences” kehte hain, jo ki insaan ke jeevan me hue events hote hain.

Model ke dwara death ki time aur personality jaise other factors ko high accuracy se predict karne ki salahiyat payi gayi hai, aur iske predictions me current AI models aur insurance companies ke methods se 11% jyada accuracy payi gayi

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What is the accuracy rate of the AI Death Predictor model?

AI Death Predictor model, jise Life2vec bhi kehte hai, ke pass chaar saal ke andar ek insaan ki maut hone ki chances predict karne me 79% accuracy rate hai.

Is model ko Denmark ki population ke personal data par train kiya gaya tha, jisme health, employment aur financial records ke saath education, doctor aur hospital visits, diagnoses, income, aur occupation jaise data shamil the.

AI Death Predictor ki predictions pata chala hai ki current kisi bhi AI model ya life insurance companies dwara istemal kie jaane wale methods se 11% jyada accurate hai.

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Jyotish mein, maut ki bhawishya phal deta hai ek controversial aur sensitive topic hai. Aaj ke jyotishi isse mostly unethical maante hai aur maut ke bare me prediction karne se parhez karte hai.

 Aaj ke jyotish me insaan ko apne bare me jankari dene par jor deta hai, aur maut predict karna ek fatalistic kadam maana jata hai.

Haalaki kuch traditional jyotishi special techniques aur indicators ka istemaal karke mortality par karya karte hai, jyadatar jyotishi maut ke time ke bare me specific jawab dene se katrate hai.

 Maut predict karne ke jurm aur ethical samasyae modern western jyotish me is sabd ko tyagi karne ka karan bani hai.

Jyotishi ke isthkultur aur history bhi maut predict karte waqt unke approach ko affect karte hai.

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