用神经网络预测巴基斯坦的自杀率

Lahore Garrison University Research Journal of Computer Science and Information Technology Pub Date : 2020-04-21 DOI:10.54692/lgurjcsit.2019.030385

Muhammad Nadeem Ali, Hira Akram, Afifa Akram

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引用次数: 1

摘要

自杀在巴基斯坦是一个未被充分研究的课题，也是世界各地的一个死亡原因。75%的自杀发生在低收入和中等收入国家。在巴基斯坦，关于自杀的信息非常有限。这项研究是要找出巴基斯坦主要城市的自杀人数，然后用神经网络算法预测自杀人数。2001- 2018年，我们在巴基斯坦主要城市的研究中发现了约24639例病例。上吊和下毒是最常见的自杀方式。自杀者的高峰年龄为20-35岁，男女皆有。自杀人数最少的是巴哈瓦尔布尔(2001年至2018年为130人)，最高的是拉合尔(2001年至2018年为5925人)。

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Suicide Rate Predictions In Pakistan By using Neural Networks

Suicide is the understudied subject in Pakistan that is a cause of death all over the world. Seventy-fivepercent of suicide occurs in LMIC.In Pakistan information about suicide is limited. The study is about tofind the number of suicide from major cities of Pakistan and then predict the number of suicides by usingNeural Networks Algorithm. About 24639 cases were found in our research from 2001-18 in majorcities of Pakistan. Hanging and poisoning were the most common methods of suicide. The peak age ofsuicide committers was 20-35 included males and females. The lowest number of suicide was inBahawalpur (130 from 2001 to 2018) and the Highest was in Lahore (5925 from 2001 to 2018).

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Lahore Garrison University Research Journal of Computer Science and Information Technology

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