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"base:title": "0oo - 收集死亡因果图以防止死亡"
"og:title": "收集死亡因果图以防止死亡"
"og:description": "为防止死亡和保持年轻，需要了解其中的原因，若能从医院获得更多细节将更有效，如进行尸检探明死亡的根本原因，然后设法减少可能导致死亡的这些原因的数量。 换言之就像收集因果树： 状况**A**由**C**引起的**B**引起 可能很多医生诊断时**P(B|C)**和**P(A|B)**的条件概率很高，它意味着我们要预防**C**。 最终原因（例如**A**）通常是公开可用的，如美国疾病控制和预防中心（&quot;CDC&quot;）提供了1968年至2016年所有匿名死亡的[数据集](https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm)，提供了[这些](https://gist.github.com/mindey/6e217406b723f65d70910db844da6f37#file-columns-mortality-us-txt-L59)类型的栏目。 可以收集各国的可比较数据集，将其解析成深层的因果树，计算原因的概率，推荐早期诊断模型（基于广告收入的诊断推荐可以自负盈亏），以及推荐如何改变生活方式，是实现此想法的一个示例。"
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"item:parent:intents": [{"url": "/intent/69/", "title": "反熵"}, {"url": "/intent/681/", "title": "零死亡率人类"}, {"url": "/intent/951/", "title": "生命长寿"}, {"url": "/intent/9/", "title": "保持人体的年轻状态"}]
"item:title": ".:en:Collect Death Causal Graphs to Prevent Death.:cn:收集死亡因果图以防止死亡"
"item:summary": ".:en:Collecting medical tracebacks from hospitals around the world and computing risk of deeper causes to recommend early diagnostics and lifestyle changes.:cn:从世界各地的医院收集医疗回溯信息，计算疾病风险的更深层原因，提供早期诊断和生活方式改变建议。"
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"item:body": |
    .:en
    To prevent deaths and preserve youth, we have to understand their causes, and the idea is that we could do this very efficiently with more details from hospitals, which perform autopsies and determining root causes, and then, trying to reduce the number of events that lead to occurrence of these causes.
    
    In other words, imagine collecting causal trees:
    
    condition **A**
    caused by **B**
    caused by **C**
    
    While many doctors in the diagnosis of , maybe the conditional probabilities of **P(B|C)** and **P(A|B)** are high, and that means, we have to prevent **C**.
    
    The final causes (such as **A**) are generally publicly available, for example, the U.S. Centers for Disease Control and Prevention ("CDC") provides the [datasets](https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm) of all anonymized deaths from 1968 to 2016, with the following kind of [columns](https://gist.github.com/mindey/6e217406b723f65d70910db844da6f37#file-columns-mortality-us-txt-L59) are available.
    
    The idea could be implemented by collecting comparable datasets from all countries, parsing them into deep causal trees, computing probabilities of causes, a model for early diagnostics recommender (advertising revenue-based diagnostics recommender could pay for itself), as well as life styles changes recommender would be an example of the realization of this idea.
    .:cn
    为防止死亡和保持年轻，需要了解其中的原因，若能从医院获得更多细节将更有效，如进行尸检探明死亡的根本原因，然后设法减少可能导致死亡的这些原因的数量。
    
    换言之就像收集因果树：
    
    状况**A**由**C**引起的**B**引起
    
    可能很多医生诊断时**P(B|C)**和**P(A|B)**的条件概率很高，它意味着我们要预防**C**。
    
    最终原因（例如**A**）通常是公开可用的，如美国疾病控制和预防中心（"CDC"）提供了1968年至2016年所有匿名死亡的[数据集](https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm)，提供了[这些](https://gist.github.com/mindey/6e217406b723f65d70910db844da6f37#file-columns-mortality-us-txt-L59)类型的栏目。
    
    可以收集各国的可比较数据集，将其解析成深层的因果树，计算原因的概率，推荐早期诊断模型（基于广告收入的诊断推荐可以自负盈亏），以及推荐如何改变生活方式，是实现此想法的一个示例。
"item:source-date": ""
"item:permalink": "/method/682/?l=cn"
"item:owner": "Mindey"
"item:created": "2018-04-15T15:49:30.563000"
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- "id": "p-61001"
  "title": "Death-Cause Removal"
  "url": "/project/61001/"
  "mission": ""
  "owner": "Mindey"
  "ownerlink": "/user/147/Mindey"
  "created": "2023-07-23T01:32:15.239556"
  "permalink": "/method/682/?l=cn#p-61001"

# <!-- COMMENTS
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"item:comment:items":
- "id": "a-1080"
  "mtrans": |

    这是很明显的事情，但是我们没有这样做，那么是什么在阻止人类像人类的系统日志一样起作用呢？

  "text": |
    This is an obvious thing to do, but we don't do it, so what's preventing humans from having like a syslog of human body?
  "owner": "Inyuki"
  "ownerlink": "/user/206/Inyuki"
  "permalink": "/method/682/?l=cn#a-1080"
  "created": "2021-02-08T15:27:48.644464"
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