Normal view MARC view ISBD view

Hairhealth: A mobile application for alopecia and psoriasis identification using image processing and data mining / Pasadilla, Catherine L.; Rubio, Joan H.; Signey, Jasmine Risha L. 6

By: Pasadilla, Catherine L.; Rubio, Joan H.; Signey, Jasmine Risha L. 4 0 16, [, ] | [, ] |

Contributor(s): 5 6 [] |

Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; January 2024.46Edition: Description: 28 cm. x, 168 ppContent type: text Media type: unmediated Carrier type: volumeISBN: ISSN: 2Other title: 6 []Uniform titles: | | Related works: 1 40 6 []Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- -- -- 20 -- | -- -- -- 20 -- --Genre/Form: -- 2 -- Additional physical formats: DDC classification: | LOC classification: | | 2Other classification:

Contents:

Action note: In: Summary: ABSTRACT: HairHealth, a cutting-edge mobile application, addresses the complex challenges fced by individuals dealing with alopecia and psoriasis. Focusing on conditions like Androgenetic Alopecia Areata, Telogen Alopecia, Traction Alopecia. Trichotillomania, and Scalp Psoriasis, the application aims to minimize delays in diagnosis and provide vital support for both physical and emotional well-being. Leveraging advanced image processing and data mining techniques. HairHealth excels in identifying specific hair and scalp issues, offering personalized care tips, and educating users about the causes and effective management strategies for their unique conditions. One of HairHealth's key features is the certain of a supportive and interactive community within the application. Users can connect with others who share similar challenges, fostering an environment where experiences can be exchanged, coping strategies shared, and emotional support provided. This community-driven approach not only addresses the emotional distress often associated with these conditions but also empowers users with a sense of belonging and mutual encouragement. To enhance user understanding and management. HairHealth incorporate a user-friendly Chabot. This tool assists individuals in recognizing and navigating factors that worsen their conditions. While continuously evolving based on user feedback, the Chabot proves to be a valuable asset in improving user's comprehension and effective management of their specific hair and scalp health challenges. The study concludes with an evaluation of HairHealth against ISO 25010 standards, encompassing Functional Suitability. Performance Efficiency, Usability, and Security Characteristics. The results showcase high user satisfaction across these domains, positioning HairHealth as a versatile and reliable tool. Overall, HairHealth emerges as a holistic solution, combining detection capabilities, community support, and user-friendly features, making it an invaluable resource for individuals seeking a comprehensive approach to understand and manage their unique hair and scalp health challenges. Other editions:

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes
Comments ( 0 )

Item type	Current location	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	PLM	PLM Filipiniana Section	Filipiniana-Thesis	T58.5 P37 2024 (Browse shelf)	Available		FT7790

Total holds: 0

Browsing PLM Shelves , Shelving location: Filipiniana Section , Collection code: Filipiniana-Thesis Close shelf browser

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	T58.5 E94 2024 A web-based E-learning platform for teaching Filipino sign language to speech impaired children using computer vision	T58.5 M38 2025 URent: IoT-based apartment management system for automated utility and rent billing	T58.5 P36 2025 Forenseek: Gamifying learning experiences in digital forensics using unity engine and augmented reality (AR) technology	T58.5 P37 2024 Hairhealth: A mobile application for alopecia and psoriasis identification using image processing and data mining /	T58.5 P47 2023 Earthquake: simulation application for Gusaling Corazon Aquino Building in Pamantasan ng Lungsod ng Maynila /	T58.5 R49 2025 LibVision: A mobile application for PLM Library System	T58.5 R49 2025 LibVision: A mobile application for PLM Library System	Next

Undergraduate Thesis: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2024. 56

ABSTRACT: HairHealth, a cutting-edge mobile application, addresses the complex challenges fced by individuals dealing with alopecia and psoriasis. Focusing on conditions like Androgenetic Alopecia Areata, Telogen Alopecia, Traction Alopecia. Trichotillomania, and Scalp Psoriasis, the application aims to minimize delays in diagnosis and provide vital support for both physical and emotional well-being. Leveraging advanced image processing and data mining techniques. HairHealth excels in identifying specific hair and scalp issues, offering personalized care tips, and educating users about the causes and effective management strategies for their unique conditions. One of HairHealth's key features is the certain of a supportive and interactive community within the application. Users can connect with others who share similar challenges, fostering an environment where experiences can be exchanged, coping strategies shared, and emotional support provided. This community-driven approach not only addresses the emotional distress often associated with these conditions but also empowers users with a sense of belonging and mutual encouragement. To enhance user understanding and management. HairHealth incorporate a user-friendly Chabot. This tool assists individuals in recognizing and navigating factors that worsen their conditions. While continuously evolving based on user feedback, the Chabot proves to be a valuable asset in improving user's comprehension and effective management of their specific hair and scalp health challenges. The study concludes with an evaluation of HairHealth against ISO 25010 standards, encompassing Functional Suitability. Performance Efficiency, Usability, and Security Characteristics. The results showcase high user satisfaction across these domains, positioning HairHealth as a versatile and reliable tool. Overall, HairHealth emerges as a holistic solution, combining detection capabilities, community support, and user-friendly features, making it an invaluable resource for individuals seeking a comprehensive approach to understand and manage their unique hair and scalp health challenges.

There are no comments for this item.

to post a comment.