Expanding access to mental healthcare with Artificial Intelligence & machine learning enabled chatbots to detect the behavior and mental activities of students.

Today’s fast-paced life has multiple challenges, which has ushered to the Millenials being called the Burnout Generation. A report by the World Health Organisation (WHO) predicts that by next year, depression will be the second-largest disease hindrance for the entire world. 

As the healthcare community continues to combat the physical effects of COVID-19, it is crucial that we offer solutions to also address related mental health issues. Virtual mental health tools can help you restore your sense of control, so you are better able to address your feelings and concerns.

But now, artificial intelligence is making its presence felt in this sector. For example, researchers at IBM are using transcripts and audio inputs from psychiatric interviews, coupled with machine learning techniques to find patterns in speech. This method will eventually help the clinicians to accurately predict and monitor psychosis, schizophrenia, mania, and depression.

To reduce the effect of such issues, support mental health patients, various organizations have been developing AI-based applications for smartphones to improve the user’s wellbeing.

One such app is Bolster.

Bolster is one of the popular chatbot companions powered by artificial intelligence. This unique chatbot AI companion helps to develop a user’s personality, talk about feelings or anything that’s on a user’s mind, have fun, calm anxiety as well as grow together.

A mental therapist which is always there to talk and listen. Personalized conversation with Bolster can help students let go of the menace of stress, anxiety, thoughts, depression. Powered by Artificial Intelligence (AI) and Machine learning enabled chatbot with NLP (Natural Language Processing) ability can tackle the widespread symptoms of depression among students through deep behavioral analysis.

Natural Language Understanding (NLU) encompasses one of the more narrow but especially complex challenges of AI: how to best handle unstructured inputs that are governed by poorly defined and flexible rules and convert them into a structured form that a machine can understand and act upon. While humans can effortlessly handle mispronunciations, swapped words, contractions, colloquialisms, and other quirks, machines are less adept at handling unpredictable inputs.

Natural language processing (NLP) and its subdiscipline of Information Extraction (IE) are commonly employed within clinical records to process large quantities of unstructured (human authored) text and return structured information about its meaning. 

Behaviour, thoughts and feelings are driven by the unconscious mind – it’s our unconscious mind that runs the strategies or patterns of behaviour that run every second of every day – most of them you’re not even aware of.

The thing with NLP is that we look to change things at an unconscious level, which for most people  is permanent (vs. CBT and Counselling  which work only with the conscious mind which means the change is harder, is less effective and takes much longer). Medical entities frequently targeted include medications, diagnoses, smoking status and other factors influencing risk, course or outcome for disorders of interest.

A huge benefit of this platform is that it broadens our reach in terms of being able to provide support to a larger number of students – some of whom are not ready to seek professional help or like to access support in other modalities. Another benefit is the self-check component in the app where students can check on their mental health and, if indicated, that can move them towards getting professional help.

Provides CBT cognitive behavior therapy and auxiliary training to help patients. Data suggests Psybot is capable of replacing 70 percent of the communication normally conducted by human mental health consultants. Bolster uses artificial intelligence and data analytics to deliver personalized answers to any question related to mental health.

Taking care of mental health is one side, bolster also works alongside therapy and other treatments. Moreover, it also supports feature pinpoints of the locations of psychiatrists and mental health experts on the map so that students can seek solutions of their mental illness directly in-person.

Bolster chatbot is developed to give empathetic reactions and comes with the proficiency to improve its existing interactive experiences through ongoing human interactions. It is simple to operate. The user client adjusted reactions of the chatbot have also been verified. And since it is based on cognitive technology, it conveys mental interventions for depression and tension dependent on cognitive behavioral therapy (CBT).

First access to the AI-automated chatbot to check on your mental health. If it suggests anything suspicious, go through the customized lessons. And then if you want to meet the mental experts, go to the support feature and find their locations to meet them in person.

University of Washington amasses thousands of students. Unfortunately, if 0.5 percent of students are affected through some mental trauma, it would be difficult to deliver them particular solutions for a particular problem. Bolster is trying to solve this problem through its analytical and AI capability and even designed customized lessons to practice to get rid of any sort of mental strength.

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