By David D. Luxton
Artificial Intelligence in Behavioral and psychological future health Care summarizes fresh advances in synthetic intelligence because it applies to psychological healthiness scientific perform. each one bankruptcy offers a technical description of the improvement, overview of program in scientific perform, and empirical info on scientific efficacy.
In addition, every one bankruptcy features a dialogue of useful concerns in scientific settings, moral concerns, and boundaries of use. The ebook encompasses AI established advances in decision-making, in overview and remedy, in delivering schooling to consumers, robotic assisted job of completion, and using AI for learn and information gathering.
This e-book may be of use to psychological healthiness practitioners attracted to studying approximately, or incorporating AI advances into their perform and for researchers attracted to a complete overview of those advances in a single source.
- Summarizes AI advances to be used in psychological healthiness practice
- Includes advances in AI established decision-making and consultation
- Describes AI functions for overview and treatment
- Details AI advances in robots for scientific settings
- Provides empirical facts on scientific efficacy
- Explores functional problems with use in scientific settings
Read or Download Artificial Intelligence in Behavioral and Mental Health Care PDF
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Additional resources for Artificial Intelligence in Behavioral and Mental Health Care
If we can make predictions (regardless of the algorithm we choose) about the future, then those predicted probabilities can form the basis of our understanding of how the world changes over time.
A multitude of such rules could then be used to calculate probabilistic recommendations. One well-known early example of an expert system in health care was MYCIN, developed in the 1970s at Stanford University. The system was designed to identify bacterial infections and recommend appropriate antibiotic treatment (Shortliffe, 1976). Similar developments were also underway at the same time on the mental health side. For instance, DIAGNO was an early tool for computer-assisted psychiatric diagnosis that was developed at Columbia University in the 1960s and 1970s.
However, such arguments miss the point from a practical front, and obfuscate an important discussion. If we can make predictions (regardless of the algorithm we choose) about the future, then those predicted probabilities can form the basis of our understanding of how the world changes over time.
Artificial Intelligence in Behavioral and Mental Health Care by David D. Luxton