Artificial Intelligence in order to facilitate Diagnoses and Treatment. The Opportunity Smart Cities give Subjects

By Sina Kiene

Bachelor Thesis from the year 2020 in the subject Computer Sciences - Artificial Intelligence, grade: 1,3, University of Applied Sciences Hamburg, language: English, abstract: This bachelor thesis is based on the approach of providing nowadays society with solutions through the advancement of Artificial Intelligence in order to improve their quality of life. For the reason that the obstacles within the health sector are evolving in a negative sense a special focus within this concept is laid on Artificial Intelligence systems impact within the health sector of mental illnesses. Thus being said the structure of the thesis focuses on four key theories in the beginning which arise over and over within the thesis. These four key theories included: The Wave Approach by Toeffler, the definition of three identities, Neuroscience and Mental Illnesses (burn-out, depression and anxiety). Nevertheless, the thesis was examined in several other parts such as Artificial Intelligence and the technology behind it, the implementation of AI in smart cities, pattern recognition and monitoring in the health sector. By focusing on such areas, analysing and connecting them with past approaches the impact of the data was described and analysed. Thus being said the thesis approach was coming to the conclusion that through the implementation of Artificial Intelligence systems such as voice recognition systems and facial recognition systems the area of diagnosing mental illnesses and improving treatment as well as reaching for quicker response rate - in regards to emergencies - can be reached.

• Format: Paperback
• Language: English
• ISBN: 3346397661
• ISBN13: 9783346397669
• Release Date: November 2021
• Publisher: Grin Verlag
• Length: 116 Pages
• Weight: 0.35 lbs.
• Dimensions: 0.3" x 5.8" x 8.3"