Answers.Body: <p><strong>This question seems to be specifically about your idea so I'll answer as such</strong> - any general 'can digital activity be used to predict suicide attempts' is probably too broad for this site.</p>
  <p>As I see it you want to use what a person types, across all types of digital media, to get some measure of their risk of suicide attempt.</p>
  <h1>Two key questions in any machine learning problem</h1>
  <ul>
  <li>Can we create variables as predictors?</li>
  <li>Is the data there? i.e. do we have labelled data already</li>
  </ul>
  <p>As far as creating variables goes a lot of people don't realise that machine learning (or 'AI') isn't about dumping a load of unedited data into an algorithm and letting it figure it out - 90% of the work is in making those variables into something sensible. In this case it may involve a fair bit of psychology. Perhaps you look at changes in message length - has someone gone from writing essays to short answers? (I'm not a psychologist, that may well be way off the mark). The use of particular words or phrases may come into it - you would need to do a fair bit of research into the differences between those who attempted suicide and those who didn't (perhaps ranking words by frequency and see if there are distinct differences).</p>
  <p>This brings us to our second question (or perhaps it should be the first) 'is the data there'? You want to predict suicide risk from digital activity so you'll need the digital activity of all different types of people with a label of whether or not they attempted suicide (and when - no point collecting the data two years after their attempt). <strong>Do you think this dataset exists?</strong> I'm sceptical - the level of detail you would need (both into someone's digital activity and their personal mental state) is unlikely to be recorded.</p>
  <p>It isn't to say I think its an idea to be thrown out, only that you need to be realistic about the amount of effort required to do something like this. You would need to carry out research to collect this data, need to plan out your ideas before hand to know what you would like to collect (the worst thing is to find, after a year of data collection, that you didn't monitor a variable you would have now found vital).</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-07-14T08:31:28.990Z
Answers.LastActivityDate: 2019-07-14T08:31:28.990Z
Answers.LastEditDate: 2020-06-17T09:57:20.710Z
Answers.UserDisplayName: Lio Elbammalf
Body: <p>Suicide is on the increase in my country and most victims tend to leave early traces from text messages, social media accounts, search engine queries. So I came up with the idea to develop an AI system with the following features:</p>
  
  <ul>
  <li>Ability to read text messages searching for suicide trigger words</li>
  <li>Read chats also for the same trigger words</li>
  <li>Incorporate synchronization of words from software/browsers on recent words typed</li>
  <li>Learning algorithm to predict the next action after taking notes of the use of these suicide trigger words</li>
  <li>Ability to access any cellphone, Android, computer, websites </li>
  </ul>
  
  <p>Is this feasible or not feasible?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-07-12T12:37:15.313Z
Comments.Text: By feasibility do you mean whether you can accurately predict suicide attempts with the assumption you get all this data or is it feasible anyone would let you record all this information (it all sounds very 'big brother')? To train a model you would need records of these where you knew customers went on to attempt suicide and records where people didn't.
Comments.UserDisplayName: Lio Elbammalf
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-07-13T12:28:51.617Z
Comments.Text: That's right bro. If I can't develop a model can it be simulated and what software can I use to simulate
Comments.UserDisplayName: Hadassah Airekun
Tags: <deep-learning><ai-design><applications><prediction>
Title: Suicide Predictor and Locator
UserDisplayName: Hadassah Airekun
ThreadText: # Suicide Predictor and Locator
  
  (Asked by: username_0 on 2019-07-12)
  
  Suicide is on the increase in my country and most victims tend to leave early traces from text messages, social media accounts, search engine queries. So I came up with the idea to develop an AI system with the following features:
  
  * Ability to read text messages searching for suicide trigger words
  * Read chats also for the same trigger words
  * Incorporate synchronization of words from software/browsers on recent words typed
  * Learning algorithm to predict the next action after taking notes of the use of these suicide trigger words
  * Ability to access any cellphone, Android, computer, websites
  
  Is this feasible or not feasible?
  
  **Tags:** deep-learning, ai-design, applications, prediction
  
  > **Comments:**
  > **username_1**: By feasibility do you mean whether you can accurately predict suicide attempts with the assumption you get all this data or is it feasible anyone would let you record all this information (it all sounds very 'big brother')? To train a model you would need records of these where you knew customers went on to attempt suicide and records where people didn't.  
  > **username_0**: That's right bro. If I can't develop a model can it be simulated and what software can I use to simulate  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2019-07-14. Score: 2
  
  **This question seems to be specifically about your idea so I'll answer as such** - any general 'can digital activity be used to predict suicide attempts' is probably too broad for this site.
  
  As I see it you want to use what a person types, across all types of digital media, to get some measure of their risk of suicide attempt.
  
  # Two key questions in any machine learning problem
  
  * Can we create variables as predictors?
  * Is the data there? i.e. do we have labelled data already
  
  As far as creating variables goes a lot of people don't realise that machine learning (or 'AI') isn't about dumping a load of unedited data into an algorithm and letting it figure it out - 90% of the work is in making those variables into something sensible. In this case it may involve a fair bit of psychology. Perhaps you look at changes in message length - has someone gone from writing essays to short answers? (I'm not a psychologist, that may well be way off the mark). The use of particular words or phrases may come into it - you would need to do a fair bit of research into the differences between those who attempted suicide and those who didn't (perhaps ranking words by frequency and see if there are distinct differences).
  
  This brings us to our second question (or perhaps it should be the first) 'is the data there'? You want to predict suicide risk from digital activity so you'll need the digital activity of all different types of people with a label of whether or not they attempted suicide (and when - no point collecting the data two years after their attempt). **Do you think this dataset exists?** I'm sceptical - the level of detail you would need (both into someone's digital activity and their personal mental state) is unlikely to be recorded.
  
  It isn't to say I think its an idea to be thrown out, only that you need to be realistic about the amount of effort required to do something like this. You would need to carry out research to collect this data, need to plan out your ideas before hand to know what you would like to collect (the worst thing is to find, after a year of data collection, that you didn't monitor a variable you would have now found vital).
  
  
  ---
  
  