Browsing by Subject "Schizophrenia"
Now showing items 1-7 of 7
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Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
(Brac University, 2024-01)Schizophrenia is one of the destructive personality disorders where people have unusual interpretations of reality and are lured to develop harmful actions if not diagnosed promptly. This study focuses on identifying ... -
Application of deep learning in MRI classification of Schizophrenia
(Brac University, 2023-01-23)In today’s world, when people are suffering from complex brain diseases, MRI has been playing a very significant part in understanding brain functionalities and its abnormalities. Deep learning has been recently used for ... -
Concomitant use of multiple antipsychotics to treat Schizophrenia: Risk benefit analysis
(Brac University, 2022-06)This article discusses about what schizophrenia and its symptoms are and what antipsychotics can be used to treat the disease. The main cause of schizophrenia is not found and some hypothesis and pathways for the disease ... -
Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
(Brac University, 2021-06)The proper prediction of schizophrenia at an early stage can be very beneficial to those who are at risk of developing it at a severe stage later on. The early signs of schizophrenia include extreme reaction to criticism, ... -
A review on optogenetics and its potential in neurological disorder management
(BRAC University, 2022-10)Neuroscientists have a remarkable capacity to influence neurons because of the latest research technology known as optogenetics. Optogenetics offers significant possibilities as a treatment option for neurological disorders ... -
A review on the use of Lumateperone in the treatment of Schizophrenia
(2024-03)Schizophrenia is a typical, possibly extreme psychotic problem found in patients around the world. It is an ongoing disease influencing roughly one percent of the general population. Consistently, approximately 1 out of ... -
Utilization of machine learning classifiers to predict different forms of mental illness: schizophrenia, PTSD, bipolar disorder and depression
(Brac University, 2021-06)The most alarming, yet abstained issue of our so-called ‘Generation Z’ is mental health. While there are seminars, psychotherapy and awareness procedures initi ated to tackle this issue in many developed countries, it is ...
