Eminder: Mental health companion bot for daily monitoring and notification (Record no. 37040)

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fixed length control field 02155nam a22002417a 4500
003 - CONTROL NUMBER IDENTIFIER
control field FT8773
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control field 20251106125124.0
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fixed length control field 251106b ||||| |||| 00| 0 eng d
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Language code of text/sound track or separate title engtag
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Classification number T58.64 E83 2025
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100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Escoto, Louis Mariae C.; Maranan, Gerwin Marie V.; Panajon, Karyll Kaye B.
245 ## - TITLE STATEMENT
Title Eminder: Mental health companion bot for daily monitoring and notification
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture .
Name of producer, publisher, distributor, manufacturer .
Date of production, publication, distribution, manufacture, or copyright notice c2025
300 ## - PHYSICAL DESCRIPTION
Other physical details Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025
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Source unmediated
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Formatted contents note ABSTRACT: Anxiety and depression have become increasingly prevalent in the Philippines, especially after the COVID-19 pandemic, with the Department of Health estimating that 3.6 million Filipino suffer from these issues. Individuals often find it challenging to express their emotions or seek help, leading to challenges in emotional regulation and communication. In response, researchers from Pamantasan ng Lungsod ng Maynila (PLM) developed Eminder: Mental Health Companion Bot for Daily Monitoring and Notification, a mobile application aimed at assessing emotional states and offering support. The study involved 150 respondents who experienced anxiety, stress, and depression and applied the ISO/IEC 25010 standard to evaluate functional suitability, performance efficiency, reliability, and security. Results indicate high ratings across all categories. The mean per category is as follows: 3.99 for functional suitability, 4.02 performance efficiency, 4.11 for reliability, and 4.04 for security, all rated as “Very Good.” These findings suggest Eminder’s potential to enhance emotional well-being. However, the Support Vector Machine (SVM) model used for emotion detection achieved only 48% accuracy, and the decision tree had an accuracy of 50%. Both models misclassify “fear” and “surprise” as other emotion, indicating the need for further improvements.
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Classification Filipiniana
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Genre/form data or focus term academic writing
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Source of classification or shelving scheme
Item type Thesis/Dissertation
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Item type
          Filipiniana-Thesis PLM PLM Filipiniana Section 2025-10-15   T58.64 E83 2025 FT8773 2025-11-06 2025-11-06 Thesis/Dissertation

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