國立虎尾科技大學 |

Predictive Analytics of Psychological Disorders in Healthcare = Data Analytics on Psychological Disorders /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Predictive Analytics of Psychological Disorders in Healthcare/ edited by Mamta Mittal, Lalit Mohan Goyal.
其他題名:	Data Analytics on Psychological Disorders /
其他作者:	Goyal, Lalit Mohan.
面頁冊數:	XVI, 303 p. 122 illus., 102 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Data Analysis and Big Data. -
電子資源:	https://doi.org/10.1007/978-981-19-1724-0
ISBN:	9789811917240

Predictive Analytics of Psychological Disorders in Healthcare = Data Analytics on Psychological Disorders /
Predictive Analytics of Psychological Disorders in HealthcareData Analytics on Psychological Disorders /[electronic resource] :edited by Mamta Mittal, Lalit Mohan Goyal. - 1st ed. 2022. - XVI, 303 p. 122 illus., 102 illus. in color.online resource. - Lecture Notes on Data Engineering and Communications Technologies,1282367-4520 ;. - Lecture Notes on Data Engineering and Communications Technologies,3.

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. .

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. 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.

ISBN: 9789811917240

Standard No.: 10.1007/978-981-19-1724-0doiSubjects--Topical Terms:

1366136
Data Analysis and Big Data.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Predictive Analytics of Psychological Disorders in Healthcare = Data Analytics on Psychological Disorders /
LDR:02643nam a22003975i 4500 001 1082065
003 DE-He213
005 20220520192121.0
007 cr nn 008mamaa
008 221228s2022 si | s |||| 0|eng d
020 $a 9789811917240 $9 978-981-19-1724-0
024 7 $a 10.1007/978-981-19-1724-0 $2 doi
035 $a 978-981-19-1724-0
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Predictive Analytics of Psychological Disorders in Healthcare $h [electronic resource] : $b Data Analytics on Psychological Disorders / $c edited by Mamta Mittal, Lalit Mohan Goyal.
250 $a 1st ed. 2022.
264 1 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a XVI, 303 p. 122 illus., 102 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes on Data Engineering and Communications Technologies, $x 2367-4520 ; $v 128
505 0 $a 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. .
520 $a 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. 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.
650 2 4 $a Data Analysis and Big Data. $3 1366136
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Cognitive Psychology. $3 593892
650 2 4 $a Health Informatics. $3 593963
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Quantitative research. $3 635913
650 0 $a Machine learning. $3 561253
650 0 $a Cognitive psychology. $3 556029
650 0 $a Medical informatics. $3 583858
650 0 $a Computational intelligence. $3 568984
700 1 $a Goyal, Lalit Mohan. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1299292
700 1 $a Mittal, Mamta. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1227268
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811917233
776 0 8 $i Printed edition: $z 9789811917257
830 0 $a Lecture Notes on Data Engineering and Communications Technologies, $x 2367-4512 ; $v 3 $3 1279482
856 4 0 $u https://doi.org/10.1007/978-981-19-1724-0
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)