Data analysisData analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.
Mental health counselorA mental health counselor (MHC), or counselor (counsellor in British English), is a person who works with individuals and groups to promote optimum mental and emotional health. Such persons may help individuals deal with issues associated with addiction and substance abuse; family, parenting, and marital problems; stress management; self-esteem; and aging. The United States Bureau of Labor Statistics distinguishes "Mental Health Counselors" from "Social Workers", "Psychiatrists", and "Psychologists".
Community mental health serviceCommunity mental health services (CMHS), also known as community mental health teams (CMHT) in the United Kingdom, support or treat people with mental disorders (mental illness or mental health difficulties) in a domiciliary setting, instead of a psychiatric hospital (asylum). The array of community mental health services vary depending on the country in which the services are provided. It refers to a system of care in which the patient's community, not a specific facility such as a hospital, is the primary provider of care for people with a mental illness.
Data warehouseIn computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is considered a core component of business intelligence. Data warehouses are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place that are used for creating analytical reports for workers throughout the enterprise. This is beneficial for companies as it enables them to interrogate and draw insights from their data and make decisions.
Global mental healthGlobal mental health is the international perspective on different aspects of mental health. It is 'the area of study, research and practice that places a priority on improving mental health and achieving equity in mental health for all people worldwide'. There is a growing body of criticism of the global mental health movement, and has been widely criticised as a neo-colonial or "missionary" project and as primarily a front for pharmaceutical companies seeking new clients for psychiatric drugs.
General Data Protection RegulationThe General Data Protection Regulation (Regulation (EU) 2016/679, abbreviated GDPR) is a European Union regulation on Information privacy in the European Union (EU) and the European Economic Area (EEA). The GDPR is an important component of EU privacy law and human rights law, in particular Article 8(1) of the Charter of Fundamental Rights of the European Union. It also governs the transfer of personal data outside the EU and EEA.
Pattern recognitionPattern recognition is the automated recognition of patterns and regularities in data. While similar, pattern recognition (PR) is not to be confused with pattern machines (PM) which may possess (PR) capabilities but their primary function is to distinguish and create emergent pattern. PR has applications in statistical data analysis, signal processing, , information retrieval, bioinformatics, data compression, computer graphics and machine learning.
Occupational health psychologyOccupational health psychology (OHP) is an interdisciplinary area of psychology that is concerned with the health and safety of workers. OHP addresses a number of major topic areas including the impact of occupational stressors on physical and mental health, the impact of involuntary unemployment on physical and mental health, work-family balance, workplace violence and other forms of mistreatment, psychosocial workplace factors that affect accident risk and safety, and interventions designed to improve and/or protect worker health.
Data modelA data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real-world entities. For instance, a data model may specify that the data element representing a car be composed of a number of other elements which, in turn, represent the color and size of the car and define its owner. The corresponding professional activity is called generally data modeling or, more specifically, database design.
Statistical inferenceStatistical inference is the process of using data analysis to infer properties of an underlying distribution of probability. Inferential statistical analysis infers properties of a population, for example by testing hypotheses and deriving estimates. It is assumed that the observed data set is sampled from a larger population. Inferential statistics can be contrasted with descriptive statistics. Descriptive statistics is solely concerned with properties of the observed data, and it does not rest on the assumption that the data come from a larger population.