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Record Nr. |
UNINA9910574060103321 |
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Titolo |
Predictive Analytics of Psychological Disorders in Healthcare : Data Analytics on Psychological Disorders / / edited by Mamta Mittal, Lalit Mohan Goyal |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (310 pages) |
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Collana |
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Lecture Notes on Data Engineering and Communications Technologies, , 2367-4520 ; ; 128 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Medical informatics |
Cognitive psychology |
Machine learning |
Quantitative research |
Computational Intelligence |
Health Informatics |
Cognitive Psychology |
Machine Learning |
Data Analysis and Big Data |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Predictive analysis of psychological disorders on health -- AI-Based predictive analytics for Patients' psychological disorder -- Predicting depression through social media -- Measuring Mental Health at Workplaces using Machine Learning Techniques -- Tertiary Students Stress Detection during Online Learning in Jos, Nigeria -- Challenges & Privacy Concerns Related to Use of Information Technology in Mental Healthcare. . |
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Sommario/riassunto |
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This book discusses an interdisciplinary field which combines two major domains: healthcare and data analytics. It presents research studies by experts helping to fight discontent, distress, anxiety and unrealized potential by using mathematical models, machine learning, artificial intelligence, etc. and take preventive measures beforehand. |
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Psychological disorders and biological abnormalities are significantly related with the applications of cognitive illnesses which has increased significantly in contemporary years and needs rapid investigation. The research content of this book is helpful for psychological undergraduates, health workers and their trainees, therapists, medical psychologists, and nurses. |
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