Whale Optimization Algorithm with Deep Learning-Based Usability Recommendation Model for Medical Mobile
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2022 by IJETT Journal|
|Year of Publication : 2022|
|Authors : P. Sumathi, N. Malarvizhi
|DOI : 10.14445/22315381/IJETT-V70I5P227|
MLA Style: Sumathi, P., and Malarvizhi, N. "Whale Optimization Algorithm with Deep Learning-Based Usability Recommendation Model for Medical Mobile." International Journal of Engineering Trends and Technology, vol. 70, no. 5, May. 2022, pp. 251-257. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I5P227
APA Style:Sumathi, P., & Malarvizhi, N. (2022). Whale Optimization Algorithm with Deep Learning-Based Usability Recommendation Model for Medical Mobile. International Journal of Engineering Trends and Technology, 70(5), 251-257. https://doi.org/10.14445/22315381/IJETT-V70I5P227
Mobile applications or `apps` assist people in managing health and chronic illnesses have become common and gained significant attention. But in-depth analysis is needed to know about the acceptability and usability for low-income, ethnically/nationally different populations who face a disproportionate chronic disease problem and its complications. The study intends to examine the usability of mobile medical applications to avail development and tailoring of patient-facing apps for various populations. In this view, this study develops a novel Whale Optimization Algorithm with long short-term memory (WOA-LSTM) Based Usability Recommendation Model for Medical Mobile Applications. A survey was conducted using a set of questionnaires for software quality assurance and software quality management practices. In this case, the LSTM model is employed for the recommendation process. The hyperparameters involved in the LSTM model are optimally tuned by WOA, resulting in improved performance. The WOA-LSTM model produces context-specific judgment and generalized suggestions for App recommendation in related extreme samples. A series of experiments were carried out to determine the effective performance of the WOA-LSTM model, and the results pointed out the efficient outcomes on user recommendation.
Deep learning, Usability recommendation, Medical mobile application, Recommendation model, Whale optimization.
 Adesina N, Dogan H, Green S, and Tsofliou F, Effectiveness and Usability of Digital Tools to Support Dietary Self-Management of Gestational Diabetes Mellitus: A Systematic Review, Nutrients. 14(1) (2021) 10.
 Azad-Khaneghah P, Neubauer N, Miguel Cruz A, and Liu L, Mobile Health App Usability and Quality Rating Scales: A Systematic Review, Disability and Rehabilitation: Assistive Technology. 16(7) (2021) 712-721.
 Tiffany B, Blasi P, Catz S.L, and McClure J.B, Mobile Apps for Oral Health Promotion: Content Review and Heuristic Usability Analysis, JMIR mHealth and uHealth. 6(9) (2018) e11432.
 Jayamathi A, Jayasankar T, & Vinoth Kumar K, Novel Selective Mapping with Oppositional Hosted Cuckoo Optimization Algorithm for PAPR Reduction in 5G UFMC Systems, Technical Vjesnik. 29(2) (2022) 464-471.
 Liew M.S, Zhang J, Lee J, and Ong Y.L, Usability Challenges for Health and Wellness Mobile Apps: A Mixed-Methods Study among mhealth Experts and Consumers, JMIR mHealth and uHealth. 7(1) (2019) e12160.
 Vlachogianni P, and Tselios N, Perceived Usability Evaluation of Educational Technology Using the System Usability Scale (SUS): A Systematic Review, Journal of Research on Technology in Education. (2021) 1-18.
 Puig J, Echeverría P, Lluch T, Herms J, Estany C, Bonjoch A, Ornelas A, París D, Loste C, Sarquella M, and Clotet B, A Specific Mobile Health Application for Older HIV-Infected Patients: Usability and Patient`s Satisfaction, Telemedicine and E-Health. 27(4) (2021) 432-440.
 Rasheedy D, Mohamed H.E, Saber H.G, and Hassanin H.I, Usability of a Self Administered Geriatric Assessment Mhealth: Cross Sectional Study in a Geriatric Clinic, Geriatrics & Gerontology International. 21(2) (2021) 222-228.
 Nwagwu W.E, Usability of Mobile Phones for Personal Health Care by People Living with HIV/AIDS, Health and Technology. 11(3) (2021) 491-504.
 Karita T, Carvajal T.M, Ho H.T, Lorena J.M.O, Regalado R.A, Sobrepeña G.D, and Watanabe K, Early Detection of Dengue Fever Outbreaks Using a Surveillance App (Mozzify): Cross-Sectional Mixed-Methods Usability Study, JMIR Public Health and Surveillance. 7(3) (2021) e19034.
 Overdijkink S.B, Velu A.V, Rosman A.N, Van Beukering M.D, Kok M, and Steegers-Theunissen R.P, The Usability and Effectiveness of Mobile Health Technology-Based Lifestyle and Medical Intervention Apps Supporting Health Care During Pregnancy: A Systematic Review, JMIR mHealth and uHealth. 6(4) (2018) e8834.
 Cruz Zapata B, Fernández-Alemán J.L, Toval A, and Idri A, Reusable Software Usability Specifications for mhealth Applications, Journal of Medical Systems. 42(3) (2018) 1-9.
 Cho H, Powell D, Pichon A, Thai J, Bruce J, Kuhns L.M, Garofalo R, and Schnall R, A Mobile Health Intervention for HIV Prevention Among Racially and Ethnically Diverse Young Men: Usability Evaluation, JMIR mHealth and uHealth. 6(9) (2018) e11450.
 Ormel I, Onu C.C, Magalhaes M, Tang T, Hughes J.B, and Law S, Using a Mobile App-Based Video Recommender System of Patient Narratives to Prepare Women for Breast Cancer Surgery: Development and Usability Study Informed by Qualitative Data, JMIR Formative Research. 5(6) (2021) e22970.
 Yu Y, Si X, Hu C, and Zhang J, A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures, Neural Computation. 31(7) (2019) 1235-1270.
 Wang J, Li J, Wang X, Wang J, and Huang, M, Air Quality Prediction using CT-LSTM, Neural Computing and Applications. 33(10) (2021) 4779-4792.
 Mirjalili S, and Lewis A, The Whale Optimization Algorithm, Advances in Engineering Software. 95 (2016) 51-67.
 N B Arunekumar, K Suresh Joseph, A Novel Multi Social Communicative HHO Based Neural Networks with Quasi L1 – Regularization for ASD Bio Marker Identification, International Journal of Engineering Trends and Technology. 69(9) (2021) 220-229.
 U.Sivaji, Dr.P.Srinivasa Rao, An Improved Uniform Illustration Based Regression Testing by a Novel Heuristic Based Machine Learning Model, International Journal of Engineering Trends and Technology. 69(5) (2021) 177-185.
 Jayakumar Sadhasivam, Senthil Jayavel, Arpit Rathore, Survey of Genetic Algorithm Approach in Machine Learning, International Journal of Engineering Trends and Technology. 68(2) (2020) 115-133