Una revisión sistemática de aplicaciones móviles mhealth para el cuidado de la piel.
Palabras clave:
MHealth, Mobile Applications, Skin Care, Smartphones, Systematic Review, Intelligent Systems.
Resumen
La adquisición del conocimiento e integración de nuevas tecnologías, ha demostrado que pueden mejorar el acceso a los servicios de salud, como el cuidado de la piel y el diagnóstico en dermatología, mediante la aplicación de tecnologías y aplicaciones móviles. La introducción de teléfonos inteligentes y tabletas, que brindan capacidades informáticas y de comunicación más avanzadas, ha llevado a una fuerte aparición de aplicaciones mHealth en el mercado. Esta revisión sistemática investiga tecnologías y aplicaciones móviles mHealth para el cuidado de la piel. La búsqueda fue realizada entre 2010 y 2022, encontrando 172 artículos que se asemejan al tema; se redujeron a 32 artículos con texto disponible, para ello se excluyeron estudios que no aportan a la investigación. Como resultado se puede concluir que hay una directriz para usar aplicaciones y tecnologías móviles mhealth para el cuidado y el diagnostico de patologías de la piel mediante la combinación de algoritmos, modelos, técnicas y métodos mediante la adopción de sistemas inteligentes. Cabe considerar que la integración de aplicaciones móviles directamente para el cuidado de la piel está en sus inicios dentro del campo de investigación, lo cual ofrece resultados prometedores.
Descargas
La descarga de datos todavía no está disponible.
Citas
Bae, J.-S., Lee, S.-H., Choi, K.-S., & Kim, J.-O. (2017). Robust skin-roughness estimation based on co-occurrence matrix. Journal of Visual Communication and Image Representation, 46, 13-22. https://doi.org/10.1016/j.jvcir.2017.03.003
Berndt, R.-D., Preik, P., & Takenga, C. (2019). [TeleDermatology: The teledermatological solution mSkin® for daily practice]. Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete, 70(5), 335-342. https://doi.org/10.1007/s00105-019-4375-y
Borrero, A. Felipe., Vasques, J., & Vargas, R. (2015). Implementation of a Mobile Application to Promote Self-care in Elder Diabetic Patients. En A. Braidot & A. Hadad (Eds.), VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014 (pp. 797-800). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-13117-7_203
Coates, S. J., Kvedar, J., & Granstein, R. D. (2015a). Teledermatology: From historical perspective to emerging techniques of the modern era: part I: History, rationale, and current practice. Journal of the American Academy of Dermatology, 72(4), 563-574; quiz 575-576. https://doi.org/10.1016/j.jaad.2014.07.061
Coates, S. J., Kvedar, J., & Granstein, R. D. (2015b). Teledermatology: From historical perspective to emerging techniques of the modern era: part II: Emerging technologies in teledermatology, limitations and future directions. Journal of the American Academy of Dermatology, 72(4), 577-586; quiz 587-588. https://doi.org/10.1016/j.jaad.2014.08.014
Diaz, A., Pineda, D., & Rangel, E. (s. f.). La ley de Moore: Nada es eterno en la computacio´n. 8.
Dugas, M., Crowley, K., Gao, G. G., Xu, T., Agarwal, R., Kruglanski, A. W., & Steinle, N. (2018). Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans. PloS One, 13(3), e0192807. https://doi.org/10.1371/journal.pone.0192807
El Mercado de Aplicaciones Móviles Tendencias. (2017, julio 7). Recuperado 16 de marzo de 2022, de Go-Host website: https://gohost.com.mx/el-mercado-de-aplicaciones-moviles-2017-estadisticas-tendencias-y-analisis/
Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118. https://doi.org/10.1038/nature21056
Evans, R. (s. f.). IMS Institute for Healthcare Informatics [Text]. https://doi.org/10.7748/ns2014.04.28.32.30.s36
Giotis, I., Molders, N., Land, S., Biehl, M., Jonkman, M. F., & Petkov, N. (2015). MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images. Expert Systems with Applications, 42(19), 6578-6585. https://doi.org/10.1016/j.eswa.2015.04.034
Hartanto, C. A., & Wibowo, A. (2020). Development of Mobile Skin Cancer Detection using Faster R-CNN and MobileNet v2 Model. 2020 7th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 58-63. https://doi.org/10.1109/ICITACEE50144.2020.9239197
Jun, Y. J., Shin, D., Choi, W. J., Hwang, J. H., Kim, H., Kim, T. G., … Hong, J. P. (Jp). (2016). A Mobile Application for Wound Assessment and Treatment: Findings of a User Trial. The International Journal of Lower Extremity Wounds, 15(4), 344-353. https://doi.org/10.1177/1534734616678522
Karargyris, A., Karargyris, O., & Pantelopoulos, A. (2012). DERMA/Care: An Advanced image-Processing Mobile Application for Monitoring Skin Cancer. 2012 IEEE 24th International Conference on Tools with Artificial Intelligence, 2, 1-7. https://doi.org/10.1109/ICTAI.2012.180
Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele, UK, Keele Univ., 33.
Kitchenham, B., & Charters, S. (2007). Guidelines for performing Systematic Literature Reviews in Software Engineering. 2.
Li, H.-H., Liao, Y.-H., Huang, Y.-N., & Cheng, P.-J. (2020). Based on machine learning for personalized skin care products recommendation engine. 2020 International Symposium on Computer, Consumer and Control (IS3C), 460-462. https://doi.org/10.1109/IS3C50286.2020.00125
Liaw, S. T. (1993). Patient and general practitioner perceptions of patient-held health records. Family practice, 10(4), 406-415.
Marketing móvil en 2018: Datos y tendencias que debes conocer. (2018, abril 24). Recuperado 29 de marzo de 2022, de Dyadigital website: https://dyadigital.com/noticias-marketing/todo-lo-que-debes-saber-sobre-el-marketing-movil-en-2018/
Moreno-Ramírez, D., & Argenziano, G. (2017). Teledermatology and Mobile Applications in the Management of Patients with Skin Lesions. Acta Dermato Venereologica, 0. https://doi.org/10.2340/00015555-2718
Othman, M., Halil, N. M., Yusof, M. M., Mohamed, R., & Abdullah, M. H. A. (2018). Empowering Self-Management through M-Health Applications. MATEC Web of Conferences, 150, 05018. https://doi.org/10.1051/matecconf/201815005018
Parmanto, B., Pramana, G., Yu, D. X., Fairman, A. D., & Dicianno, B. E. (2015). Development of mHealth system for supporting self-management and remote consultation of skincare. BMC Medical Informatics and Decision Making, 15(1), 114. https://doi.org/10.1186/s12911-015-0237-4
Pérez-Gandía, C., García-Sáez, G., Subías, D., Rodríguez-Herrero, A., Gómez, E. J., Rigla, M., & Hernando, M. E. (2018). Decision Support in Diabetes Care: The Challenge of Supporting Patients in Their Daily Living Using a Mobile Glucose Predictor. Journal of Diabetes Science and Technology, 12(2), 243-250. https://doi.org/10.1177/1932296818761457
Phongtraychack, A., & Dolgaya, D. (2018). Evolution of Mobile Applications. MATEC Web of Conferences, 155, 01027. https://doi.org/10.1051/matecconf/201815501027
Puente-Mansilla, F., Boza-Quispe, G., Lapa-Velasquez, G., Matos-Avalos, C., & Rosales-Huamani, J. (2016). A wearable UV sensor and accessible smartphone application for blind people. 2016 IEEE International Symposium on Consumer Electronics (ISCE), 81-82. Sao Paulo, Brazil: IEEE. https://doi.org/10.1109/ISCE.2016.7797382
Romero, G., Garrido, J. A., & García-Arpa, M. (2008). Telemedicina y teledermatología (I): Concepto y aplicaciones. Actas Dermo-Sifiliográficas, 99(7), 506-522. https://doi.org/10.1016/S0001-7310(08)74735-5
Sáenz, J. P., Novoa, M. P., Correal, D., & Eapen, B. R. (2017). Skinhealth, A Mobile Application for Supporting Teledermatology: A Case Study in a Rural Area in Colombia. En P. Perego, G. Andreoni, & G. Rizzo (Eds.), Wireless Mobile Communication and Healthcare (pp. 160-163). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-58877-3_21
Sarwar, C. M. S., Vaduganathan, M., Anker, S. D., Coiro, S., Papadimitriou, L., Saltz, J., … Butler, J. (2018). Mobile health applications in cardiovascular research. International Journal of Cardiology, 269, 265-271. https://doi.org/10.1016/j.ijcard.2018.06.039
Tellez, W. A., Nieto-Gutierrez, W., & Taype-Rondan, A. (2017). Sunscreen mobile apps: A content analysis. European Research in Telemedicine / La Recherche Européenne En Télémédecine, 6(3-4), 157-163. https://doi.org/10.1016/j.eurtel.2017.08.001
Trawley, S., Browne, J. L., Hagger, V. L., Hendrieckx, C., Holmes-Truscott, E., Pouwer, F., … Speight, J. (2016). The Use of Mobile Applications Among Adolescents with Type 1 Diabetes: Results from Diabetes MILES Youth—Australia. Diabetes Technology & Therapeutics, 18(12), 813-819. https://doi.org/10.1089/dia.2016.0233
WHO Global Observatory for eHealth. (2011). mHealth: New horizons for health through mobile technologies: second global survey on eHealth. World Health Organization. Recuperado de World Health Organization website: https://apps.who.int/iris/handle/10665/44607
Berndt, R.-D., Preik, P., & Takenga, C. (2019). [TeleDermatology: The teledermatological solution mSkin® for daily practice]. Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete, 70(5), 335-342. https://doi.org/10.1007/s00105-019-4375-y
Borrero, A. Felipe., Vasques, J., & Vargas, R. (2015). Implementation of a Mobile Application to Promote Self-care in Elder Diabetic Patients. En A. Braidot & A. Hadad (Eds.), VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014 (pp. 797-800). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-13117-7_203
Coates, S. J., Kvedar, J., & Granstein, R. D. (2015a). Teledermatology: From historical perspective to emerging techniques of the modern era: part I: History, rationale, and current practice. Journal of the American Academy of Dermatology, 72(4), 563-574; quiz 575-576. https://doi.org/10.1016/j.jaad.2014.07.061
Coates, S. J., Kvedar, J., & Granstein, R. D. (2015b). Teledermatology: From historical perspective to emerging techniques of the modern era: part II: Emerging technologies in teledermatology, limitations and future directions. Journal of the American Academy of Dermatology, 72(4), 577-586; quiz 587-588. https://doi.org/10.1016/j.jaad.2014.08.014
Diaz, A., Pineda, D., & Rangel, E. (s. f.). La ley de Moore: Nada es eterno en la computacio´n. 8.
Dugas, M., Crowley, K., Gao, G. G., Xu, T., Agarwal, R., Kruglanski, A. W., & Steinle, N. (2018). Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans. PloS One, 13(3), e0192807. https://doi.org/10.1371/journal.pone.0192807
El Mercado de Aplicaciones Móviles Tendencias. (2017, julio 7). Recuperado 16 de marzo de 2022, de Go-Host website: https://gohost.com.mx/el-mercado-de-aplicaciones-moviles-2017-estadisticas-tendencias-y-analisis/
Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118. https://doi.org/10.1038/nature21056
Evans, R. (s. f.). IMS Institute for Healthcare Informatics [Text]. https://doi.org/10.7748/ns2014.04.28.32.30.s36
Giotis, I., Molders, N., Land, S., Biehl, M., Jonkman, M. F., & Petkov, N. (2015). MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images. Expert Systems with Applications, 42(19), 6578-6585. https://doi.org/10.1016/j.eswa.2015.04.034
Hartanto, C. A., & Wibowo, A. (2020). Development of Mobile Skin Cancer Detection using Faster R-CNN and MobileNet v2 Model. 2020 7th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 58-63. https://doi.org/10.1109/ICITACEE50144.2020.9239197
Jun, Y. J., Shin, D., Choi, W. J., Hwang, J. H., Kim, H., Kim, T. G., … Hong, J. P. (Jp). (2016). A Mobile Application for Wound Assessment and Treatment: Findings of a User Trial. The International Journal of Lower Extremity Wounds, 15(4), 344-353. https://doi.org/10.1177/1534734616678522
Karargyris, A., Karargyris, O., & Pantelopoulos, A. (2012). DERMA/Care: An Advanced image-Processing Mobile Application for Monitoring Skin Cancer. 2012 IEEE 24th International Conference on Tools with Artificial Intelligence, 2, 1-7. https://doi.org/10.1109/ICTAI.2012.180
Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele, UK, Keele Univ., 33.
Kitchenham, B., & Charters, S. (2007). Guidelines for performing Systematic Literature Reviews in Software Engineering. 2.
Li, H.-H., Liao, Y.-H., Huang, Y.-N., & Cheng, P.-J. (2020). Based on machine learning for personalized skin care products recommendation engine. 2020 International Symposium on Computer, Consumer and Control (IS3C), 460-462. https://doi.org/10.1109/IS3C50286.2020.00125
Liaw, S. T. (1993). Patient and general practitioner perceptions of patient-held health records. Family practice, 10(4), 406-415.
Marketing móvil en 2018: Datos y tendencias que debes conocer. (2018, abril 24). Recuperado 29 de marzo de 2022, de Dyadigital website: https://dyadigital.com/noticias-marketing/todo-lo-que-debes-saber-sobre-el-marketing-movil-en-2018/
Moreno-Ramírez, D., & Argenziano, G. (2017). Teledermatology and Mobile Applications in the Management of Patients with Skin Lesions. Acta Dermato Venereologica, 0. https://doi.org/10.2340/00015555-2718
Othman, M., Halil, N. M., Yusof, M. M., Mohamed, R., & Abdullah, M. H. A. (2018). Empowering Self-Management through M-Health Applications. MATEC Web of Conferences, 150, 05018. https://doi.org/10.1051/matecconf/201815005018
Parmanto, B., Pramana, G., Yu, D. X., Fairman, A. D., & Dicianno, B. E. (2015). Development of mHealth system for supporting self-management and remote consultation of skincare. BMC Medical Informatics and Decision Making, 15(1), 114. https://doi.org/10.1186/s12911-015-0237-4
Pérez-Gandía, C., García-Sáez, G., Subías, D., Rodríguez-Herrero, A., Gómez, E. J., Rigla, M., & Hernando, M. E. (2018). Decision Support in Diabetes Care: The Challenge of Supporting Patients in Their Daily Living Using a Mobile Glucose Predictor. Journal of Diabetes Science and Technology, 12(2), 243-250. https://doi.org/10.1177/1932296818761457
Phongtraychack, A., & Dolgaya, D. (2018). Evolution of Mobile Applications. MATEC Web of Conferences, 155, 01027. https://doi.org/10.1051/matecconf/201815501027
Puente-Mansilla, F., Boza-Quispe, G., Lapa-Velasquez, G., Matos-Avalos, C., & Rosales-Huamani, J. (2016). A wearable UV sensor and accessible smartphone application for blind people. 2016 IEEE International Symposium on Consumer Electronics (ISCE), 81-82. Sao Paulo, Brazil: IEEE. https://doi.org/10.1109/ISCE.2016.7797382
Romero, G., Garrido, J. A., & García-Arpa, M. (2008). Telemedicina y teledermatología (I): Concepto y aplicaciones. Actas Dermo-Sifiliográficas, 99(7), 506-522. https://doi.org/10.1016/S0001-7310(08)74735-5
Sáenz, J. P., Novoa, M. P., Correal, D., & Eapen, B. R. (2017). Skinhealth, A Mobile Application for Supporting Teledermatology: A Case Study in a Rural Area in Colombia. En P. Perego, G. Andreoni, & G. Rizzo (Eds.), Wireless Mobile Communication and Healthcare (pp. 160-163). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-58877-3_21
Sarwar, C. M. S., Vaduganathan, M., Anker, S. D., Coiro, S., Papadimitriou, L., Saltz, J., … Butler, J. (2018). Mobile health applications in cardiovascular research. International Journal of Cardiology, 269, 265-271. https://doi.org/10.1016/j.ijcard.2018.06.039
Tellez, W. A., Nieto-Gutierrez, W., & Taype-Rondan, A. (2017). Sunscreen mobile apps: A content analysis. European Research in Telemedicine / La Recherche Européenne En Télémédecine, 6(3-4), 157-163. https://doi.org/10.1016/j.eurtel.2017.08.001
Trawley, S., Browne, J. L., Hagger, V. L., Hendrieckx, C., Holmes-Truscott, E., Pouwer, F., … Speight, J. (2016). The Use of Mobile Applications Among Adolescents with Type 1 Diabetes: Results from Diabetes MILES Youth—Australia. Diabetes Technology & Therapeutics, 18(12), 813-819. https://doi.org/10.1089/dia.2016.0233
WHO Global Observatory for eHealth. (2011). mHealth: New horizons for health through mobile technologies: second global survey on eHealth. World Health Organization. Recuperado de World Health Organization website: https://apps.who.int/iris/handle/10665/44607
Publicado
2021-11-17
Sección
Artículos
