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Estd Yr 2000 Arya 1st Old Campus REAP Code : 14

Admission Contact

Dr Arun Arya

+91-9314881683 +91-9829158955 1800-266-2000

Contact for Admission

Arun Arya

Prof. (Dr.) Arun Arya

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Can machine learning decode depression in engineering students?

  /  Student Blog   /  Can machine learning decode depression in engineering students?

Can machine learning decode depression in engineering students?

How B Tech graduates can diagnose their depression?

Depression and anxiety symptoms are common among B Tech students in many regions of the world. According to research, anxiety and depression are the top reasons that college students seek counseling. This trend has been growing over the last four years.

Mental health problems like depression and anxiety can interfere with a student’s studies and hinder performance. Depression is associated with poor academic performance and dropping out of schools and colleges. Traditionally, clinicians have interviewed patients, asking questions about mood, lifestyle, and previous mental problems. This aims at identifying whether a patient is in depression or not. That method is obsolete. Machine learning at Top Engineering Colleges in Jaipur might step in to diagnose depression in patients.

Machine learning

Recently, machine learning has emerged as a possible tool to diagnose depression for the students of Engineering Colleges in Jaipur. However, it is an application of artificial intelligence (AI) that provides the ability to the systems to automatically learn and improve from experience without performing programming.

Machine-learning models can detect words and intonations in the speech that may indicate depression. Although these methods are accurate. There is a limit to them as they depend on specific answers to specific questions to make the diagnosis.

A neural-network model

Students of Best Engineering Colleges in Jaipur have developed a neural-network model that can scrutinize raw text and audio data from interviews. It helps them to discover speech patterns that may point to depression. However, this model does not need information about questions and answers to make an accurate prediction.

With further development, this model could be deployed in Smartphone apps. In this, the model would monitor a user’s text and voice for signs of emotional and mental distress and then alert someone appropriate. This could be a boon to the students of B Tech Colleges in Jaipur who are suffering from depression but do not realize that what they are going through is depression and that they need treatment for it.

Predicts severity and length of depression

Research conducts on the Major Depressive Disorder (MDD) by the students of Top 10 Engineering Colleges in Jaipur to predict the severity and length of the participants’ depression. For this, they compared the use of traditional analytics and a machine learning approach. With this, they found that the machine learning approach was superior. However, machine learning could predict the characteristics of an individual’s depression more effectively using less information than traditional analytics.

Links clinical depression with biomarkers

Machine learning has employed to link clinical depression with biomarkers of Best B Tech College in Jaipur. They make use of machine learning tools and traditional statistics in their surveys to analyze the relationship between 67 biomarkers in 5,227 research subjects. In addition, three biomarkers for depression were found: red cell distribution of width, serum glucose, and total bilirubin.