| Idea Name: |
Psychiatric Classifier |
| Slogan: |
Critical clinical decision making |
| Supervisor Name: |
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| Supervisor School: |
SEECS |
| Supervisor Department: |
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| Contact number: |
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| Email ID: |
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| Abstract: |
| A machine learning based classifier for mental health issues. |
| What is the unmet need in society that your idea will fulfill ? |
| Our society still considers mental health a taboo and therefore we have insufficient knowledge about various types of underlying problems which may require attention. Hence, we may use accessible technology to ascertain and evaluate our mental health. |
| Who needs it ? How many would benefit ? |
| Induviduals who are suspecting any mental health issue and psychiatric workers who want a quick analysis of situation. |
| How will the solution works |
| The final product will be a desktop application which will take a quick input from user and classify if they have any underlying health problems. On the backend it will be a learning algorithm which trains on data about mental health issues.
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| Who are your competitors ? How is your solution different |
| Online websites, Google, web md, etc. Our solution will be based on issues that are prevalent in our society in particular and not generalized. |
| Status: |
new |
| Entry Date & Time: |
2021-01-10 (1716) |
