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_e _e _aPasadilla, Catherine L.; Rubio, Joan H.; Signey, Jasmine Risha L. _d _b4 _u _c0 _q16 |
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_a _aHairhealth: A mobile application for alopecia and psoriasis identification using image processing and data mining / _d _b _n _cPasadilla, Catherine L.; Rubio, Joan H.; Signey, Jasmine Risha L. _h6 _p |
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_3 _3 _a _d _b _cJanuary 2024.46 |
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_e _e _c28 cm. _ax, 168 pp. _b |
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_b _atext _2rdacontent |
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_3 _30 _b _aunmediated _2rdamedia |
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_a _aUndergraduate Thesis: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2024. _d _b _c56 |
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_b _b _c _aABSTRACT: 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. _u |
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