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010   $a981-19-1724-8
024 7 $a10.1007/978-981-19-1724-0
035   $a(MiAaPQ)EBC6998240
035   $a(Au-PeEL)EBL6998240
035   $a(CKB)22893529800041
035   $a(PPN)267815409
035   $a(OCoLC)1322062387
035   $a(DE-He213)978-981-19-1724-0
035   $a(EXLCZ)9922893529800041
100   $a20220520d2022      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPredictive Analytics of Psychological Disorders in Healthcare $eData Analytics on Psychological Disorders /$fedited by Mamta Mittal, Lalit Mohan Goyal
205   $a1st ed. 2022.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022.
215   $a1 online resource (310 pages)
225 1 $aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v128
311 08$aPrint version: Mittal, Mamta Predictive Analytics of Psychological Disorders in Healthcare Singapore : Springer,c2022 9789811917233 
327   $aPredictive 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. .
330   $aThis book discusses an interdisciplinary field which combines two major domains: healthcare and data analytics. It presents research studies by experts helping to fight discontent, distress, anxiety and unrealized potential by using mathematical models, machine learning, artificial intelligence, etc. and take preventive measures beforehand. Psychological disorders and biological abnormalities are significantly related with the applications of cognitive illnesses which has increased significantly in contemporary years and needs rapid investigation. The research content of this book is helpful for psychological undergraduates, health workers and their trainees, therapists, medical psychologists, and nurses.
410  0$aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v128
606   $aComputational intelligence
606   $aMedical informatics
606   $aCognitive psychology
606   $aMachine learning
606   $aQuantitative research
606   $aComputational Intelligence
606   $aHealth Informatics
606   $aCognitive Psychology
606   $aMachine Learning
606   $aData Analysis and Big Data
615  0$aComputational intelligence.
615  0$aMedical informatics.
615  0$aCognitive psychology.
615  0$aMachine learning.
615  0$aQuantitative research.
615 14$aComputational Intelligence.
615 24$aHealth Informatics.
615 24$aCognitive Psychology.
615 24$aMachine Learning.
615 24$aData Analysis and Big Data.
676   $a616.891
702   $aMittal$b Mamta
702   $aGoyal$b Lalit Mohan
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910574060103321
996   $aPredictive analytics of psychological disorders in healthcare$92992417
997   $aUNINA