Predictive model for bipolar disorder episodes

By: Yashaswini K.AContributor(s): Saxena, Aditya KMaterial type: Text

TextPublication details: Bengaluru: Presidency University, 2022Description: xi, 132 pISBN: 20183CSE0018Subject(s): Bipolar disorder | Computer Science Engineering - SOEDDC classification: 006.312 YAS Online resources: Click here to access online

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Holdings
Item type	Current library	Collection	Shelving location	Call number	Materials specified	URL	Status	Date due	Barcode
Thesis	Presidency University Library	Reference	Computer Science Engineering	006.312 YAS (Browse shelf(Opens below))		Link to resource	Access Restricted		T48

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Previous	006.3 PAL Osteoportic bone detection using soft computing methods	006.31 ALA Optimal semantic web enrichment and classification using similarity identification, NLP and machine learning approaches	006.31 RED Designing a machine learning and deep learning frameworks for early pancreatic disease diagnosis	006.312 YAS Predictive model for bipolar disorder episodes	006.4 BHA Development of secure hidden biometric template through brain structural analysis	006.4 GOW Dynamic and volumetric approach for segmentation and classification of lung CT images	153.94004 TRI GATE computer science and information technology	Next

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