FrancisKamundia/Kenya-s-mental-survey-analysis

Applying Machine Learning Algorithms and USSD to Diagnose Mental Illness in Kenya # Kenya-s-mental-survey-analysis Applying Machine Learning Algorithms and USSD to Diagnose Mental Illness in Kenya INTRODUCTION Overview of the topic. The World Health Organization characterizes mental health disorders by a combination of abnormal thoughts, perception, emotions, behavior and relationships with others in the society. Mental health disorders include the following conditions, depression, bipolar disorder, schizophrenia and other psychoses dementia and developmental disorders including autism (World Health Organization (WHO), 2019). The prevalence of mental health disorders among individuals has affected many regardless of geographical location, employment status, religion or sex. These mental health disorders have affected individuals to the extent of some attempting suicide with a good number of them succeeding in comiting the act. Governments and non governmental organizations have initiated steps towards trying to curb the prevalence of mental health disorders in the general population, some of these steps include setting up rehabilitation centers to combat drug and substance abuse. The application of modern technology such as artificial intelligence which is part of machine learning has also helped ease the effects of the mental health disorders in both the patients and health care providers. Despite mental health disorders being the 5th largest disease burden globally and it being in the top three disease burdens in most countries in the world (Datoni et al, 2021) its awareness is still low among the world population especially in low income countries. Relevant news or research articles. Major depression being one of the most common mental illnesses in the world has led to some serious effects in individuals, the New York Times has concluded that, globally symptoms of anxiety and depression doubled during the pandemic. For example between the period of 2011-2015 in the united states emergency room visits related to depression, anxiety and simi …