Recommender system introduction for requests of cancer world
Keywords:Cancer, Health care, Recommender system
AbstractAwareness of cancer patients and their families, health care providers, and specialized cancer centers is achieved through access to up-to-date information about various items. Today, intelligent information technology systems have an important role in the awareness of people. Therefore, a type of technology is required that is capable of learning people’s needs, interests and suggesting appropriate information accordingly. The emergence of information technology systems, like recommender systems, is a step towards selecting appropriate information. With modeling the preferences, interests, needs, requests, and behaviors of the users, recommender systems seek to predict the future preferences, needs, and behaviors of the users to recommend appropriate and helpful services accordingly. Recommender systems can be a suitable tool for the information management of cancer-related screenings, diagnoses, treatments, operations, and rehabilitation programs. Access to treatment and health recommendations from valid sources is an important component of the natural processes of human decision making. The aim of this collection is to introduce recommender systems to use in cancer-related issues.
Nevidjon B. Using Leadership and Advocacy to Improve Cancer Pain Management-Based on a Presentation at the Cancer Pain, Suffering and Spirituality Course. Asian Pacific journal of cancer prevention: APJCP. 2010;11:13-6.
Yu Y, Zhou J, Li Q, Bian F, Cao C, Jin X, et al. The preliminary application of assessment system for cancer pain management. Eur Rev Med Pharmacol Sci. 2015;19(7):1164-9.
Min J-A, Yoon S, Lee C-U, Chae J-H, Lee C, Song K-Y, et al. Psychological resilience contributes to low emotional distress in cancer patients. Supportive care in cancer. 2013;21(9):2469-76.
Shi R-C, Meng A-F, Zhou W-L, Yu X-Y, Huang X-E, Ji A-J, et al. Effects of Home Nursing Intervention on the Quality of Life of Patients with Nasopharyngeal Carcinoma after Radiotherapy and Chemotherapy. Asian Pacific J cancer prevention. APJCP. 2014;16(16):7117-21.
Badr H, Carmack CL, Diefenbach MA. Psychosocial interventions for patients and caregivers in the age of new communication technologies: opportunities and challenges in cancer care. J health Communication. 2015;20(3):328-42.
Ruland CM, Andersen T, Jeneson A, Moore S, Grimsbø GH, Børøsund E, et al. Effects of an internet support system to assist cancer patients in reducing symptom distress: a randomized controlled trial. Cancer Nursing. 2013;36(1):6-17.
Saraiva RM, Bezerra J, Perkusich M, Almeida H, Siebra C. A Hybrid Approach Using Case-Based Reasoning and Rule-Based Reasoning to Support Cancer Diagnosis: A Pilot Study. Studies in health technology and informatics. 2015;216:862-6.
Miller AD, Mishra SR, Kendall L, Haldar S, Pollack AH, Pratt W, editors. Partners in care: design considerations for caregivers and patients during a hospital stay. Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing; 2016: ACM.
Shahrokni A, Mahmoudzadeh S, Lu BT. In whom do cancer survivors trust online and offline? Asian Pacific J cancer prevention APJCP. 2013;15(15):6171-6.
Taban M. A recommender system for breast cancer patients. Canada: Memorial University of Newfoundland; 2014.
Kav S, Tokdemir G, Tasdemir R, Yalili A, Dinc D. Patients with cancer and their relatives beliefs, information needs and information-seeking behavior about cancer and treatment. Asian Pacific Journal of Cancer Prevention. 2012;13(12):6027-32.
Obeidat RF, Lally RM. Health-related information exchange experiences of Jordanian women at breast cancer diagnosis. J Cancer Education. 2014;29(3):548-54.
Mohammadzadeh N, Safdari R, Rahimi A. Positive and negative effects of IT on cancer registries. Asian Pacific J Cancer Prevention. 2013;14(7):4455-7.
Mohammadzadeh N, Safdari R, Rahimi A. Multi-Agent Systems: Effective Approach for Cancer Care Information Management. Asian Pacific J Cancer Prevention. 2013;14(12):7757-9.
Wang S-L, Chen YL, Kuo AM-H, Chen H-M, Shiu YS. Design and evaluation of a cloud-based Mobile Health Information Recommendation system on wireless sensor networks. Computers & Electrical Engineering. 2016;49:221-35.
Kamran M, Javed A. A Survey of Recommender Systems and Their Application in Healthcare. Technical Journal University of Engineering and Technology Taxila. 2015;20(IV-2015):111-9.
Kim MC, Chen C. A scientometric review of emerging trends and new developments in recommendation systems. Scientometrics. 2015;104(1):239-63.
Lu J, Wu D, Mao M, Wang W, Zhang G. Recommender system application developments: a survey. Decision Support Systems. 2015;74:12-32.
Yang X, Guo Y, Liu Y, Steck H. A survey of collaborative filtering based social recommender systems. Computer Communications. 2014;41:1-10.
Alphy A, Prabakaran S. A Dynamic Recommender System for Improved Web Usage Mining and CRM Using Swarm Intelligence. The Scientific World Journal. 2015;2015:1-16.
Jonnalagedda N, Gauch S, Labille K, Alfarhood S. Incorporating popularity in a personalized news recommender system. Peer J Computer Science. 2016;2:1-2.
Pérez-Gallardo Y, Alor-Hernández G, Cortes-Robles G, Rodríguez-González A. Collective intelligence as mechanism of medical diagnosis: The iPixel approach. Expert Systems with Applications. 2013;40(7):2726-37.
Sophatsathit N, editor. The Use of Recommender Systems in Decision Support-A Case Study on Used Car Dealers. Proceedings of World Academy of Science, Engineering and Technology; 2013: World Academy of Science, Engineering and Technology (WASET).
Xia Z, Xu S, Liu N, Zhao Z. Hot news recommendation system from heterogeneous websites based on bayesian model. The Scientific World J. 2014;2014:1-8.
Marlin BM, Adams RJ, Sadasivam R, Houston TK, editors. Towards collaborative filtering recommender systems for tailored health communications. AMIA Annual Symposium Proceedings; 2013: American Medical Informatics Association.
Lafta R, Zhang J, Tao X, Li Y, Tseng VS, editors. An intelligent recommender system based on short-term risk prediction for heart disease patients. 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT); 2015: IEEE.
Khobreh M, Ansari F, Dornhöfer M, Fathi M, editors. An ontology-based Recommender System to Support Nursing Education and Training. German Conference on Learning, Knowledge, Adaptation (LWA-2013), Bamberg, Germany; 2013.
Lim TP, Husain W, Zakaria N. Recommender system for personalised wellness therapy. International Journal of Advanced Computer Science and Applications (IJACSA). 2013;4(9):85-9.
Li J, Zaman N, editors. Personalized Healthcare Recommender Based on Social Media. 2014 IEEE 28th International Conference on Advanced Information Networking and Applications; 2014: IEEE.
Raza S, Bashir SR, Hameed MT, Zaheer MJ. Design And Development Of Context-Aware Recommendation Strategy For E-Learning. VFAST Transactions on Software Engineering. 2015;7(2):1-11.
Ricci F, Rokach L, Shapira B. Introduction to recommender systems handbook: Springer; 2011. 1 p.
Chulyadyo R, Leray P. A personalized recommender system from probabilistic relational model and users’ preferences. Procedia Computer Science. 2014;35:1063-72.
Renganathan V, Babu AN, Sarbadhikari SN. A Tutorial on Information Filtering Concepts and Methods for Bio-medical Searching. Journal of Health & Medical Informatics. 2013;4(3):1-8.
Thai-Nghe N, Schmidt-Thieme L. Factorization forecasting approach for user modeling. J Comput Sci Cybern. 2015;31(2):133-48.
Bedi P, Agarwal SK. Aspect-Oriented trust based mobile recommender system. International Journal of Computer Information Systems and Industrial Management Applications. 2013;5:354-64.
Huete JF, Fernández-Luna JM, de Campos LM, Rueda-Morales MA. Using past-prediction accuracy in recommender systems. Information Sciences. 2012;199:78-92.
Uçar T, Karahoca A. Personalizing trip recommendations: A framework proposal. Global Journal of Computer Science. 2015;5(1):30-5.
Martinez-Cruz C, Porcel C, Bernabé-Moreno J, Herrera-Viedma E. A model to represent users trust in recommender systems using ontologies and fuzzy linguistic modeling. Information Sciences. 2015;311:102-18.
Son L, Thong NT. Intuitionistic fuzzy recommender systems: an effective tool for medical diagnosis. Knowledge-Based Systems. 2015;74:133-50.
Duan L, Street W, Lu D, editors. A nursing care plan recommender system using a data mining approach. 3rd INFORMS Workshop on Data Mining and Health Informatics, Washington, DC; 2008.
Abbas A, Bilal K, Zhang L, Khan SU. A cloud based health insurance plan recommendation system: A user centered approach. Future Generation Computer Systems. 2015;43-44:99-109.
Nassabi MH, op den Akker H, Vollenbroek-Hutten MM, editors. An ontology-based recommender system to promote physical activity for pre-frail elderly. Mensch & Computer Workshopband; 2014.
Narducci F, Musto C, Polignano M, de Gemmis M, Lops P, Semeraro G, editors. A Recommender System for Connecting Patients to the Right Doctors in the HealthNet Social Network. Proceedings of the 24th International Conference on World Wide Web; 2015: ACM.
Hidalgo JI, Maqueda E, Risco-Martín JL, Cuesta-Infante A, Colmenar JM, Nobel J. glucmodel: A monitoring and modeling system for chronic diseases applied to diabetes. J biomedical informatics. 2014;48:183-92.
Monteiro E, Valente F, Costa C, Oliveira JL. A Recommender System for Medical Imaging Diagnostic. Digital Healthcare Empowering Europeans: Proceedings of MIE2015. 2015;210:461-3.
Geetha K, Manimekalai M. Healthy Diet Recommendation System using Apriori Algorithm Decision Rules for Breast Cancer Data. International Journal of Scientific & Engineering Research. 2013:1-5.
Yang L, Hsieh C-K, Yang H, Dell N, Belongie S, Estrin D. Yum-me: Personalized Healthy Meal Recommender System. arXiv preprint arXiv:160507722. 2016:1-13.
de Magalhães CVC, Souza E, Neto J, Vilar G, editors. Recommender Systems: an Experience With GenNet Health-Care Social Network. eTelemed: The Fifth International Conference on eHealth, Telemedicine and Social Medicine; 2013.
Wiesner M, Pfeifer D. Health recommender systems: concepts, requirements, technical basics and challenges. International journal of environmental research and public health. 2014;11(3):2580-607.
Elmisery AM, Rho S, Botvich D. A distributed collaborative platform for personal health profiles in patient-driven health social network. International Journal of Distributed Sensor Networks. 2015;2015:1-12.
Hamilton SN, Scali EP, Yu I, Gusnowski E, Ingledew P-A. Sifting through it all: characterizing melanoma patients’ utilization of the Internet as an information source. J Cancer Education. 2015;30(3):580-4.
McNamara M, Arnold C, Sarma K, Aberle D, Garon E, Bui AA. Patient portal preferences: perspectives on imaging information. Journal of the Association for Information Science and Technology. 2015;66(8):1606-15.
Ekstedt M, Børøsund E, Svenningsen IK, Ruland CM. Reducing errors through a web-based self-management support system. Stud Health Technol Inform. 2014;201:328-34.
Schook RM, Linssen C, Schramel FM, Festen J, Lammers E, Smit EF, et al. Why do patients and caregivers seek answers from the internet and online lung specialists? A qualitative study. J medical Internet research. 2014;16(2):1-12.
Elsner T, Muecke R, Micke O, Prott FJ, Muenstedt K, Waldmann A, et al. Survey on the worldwide Chronic Myeloid Leukemia Advocates Network regarding complementary and alternative medicine. J cancer research and clinical oncology. 2013;139(6):1025-31.
Kaltenbaugh DJ, Klem ML, Hu L, Turi E, Haines AJ, Hagerty LJ, editors. Using Web-based interventions to support caregivers of patients with cancer: a systematic review. Oncol Nurs Forum. 2015.
Murphy J, Worswick L, Pulman A, Ford G, Jeffery J. Translating research into practice: Evaluation of an e-learning resource for health care professionals to provide nutrition advice and support for cancer survivors. Nurse education today. 2015;35(1):271-6.
Nurgul K, Nursan C, Dilek K, Over OT, Sevin A. Effect of Web-supported Health Education on Knowledge of Health and Healthy-living Behaviour of Female Staff in a Turkish University. Asian Pacific J Cancer Prevention. 2015;16(2):489-94.
Shaw R, Thomas R. The information needs and media preferences of Canadian cancer specialists regarding breast cancer treatment related arm morbidity. European J cancer care. 2014;23(1):98-110.
Baldominos A, Saez Y, Albacete E, Marrero I, editors. An efficient and scalable recommender system for the smart web. Innovations in Information Technology (IIT), 2015 11th International Conference on; 2015: IEEE.
Bielik P, Tomlein M, Krátky P, Mitrík Š, Barla M, Bieliková M, editors. Move2Play: an innovative approach to encouraging people to be more physically active. Proceedings of the 2nd ACM SIGHIT international health informatics symposium; 2012: ACM.
Castillejo E, Almeida A, López-de-Ipiña D, editors. Social network analysis applied to recommendation systems: alleviating the cold-user problem. International Conference on Ubiquitous Computing and Ambient Intelligence; 2012: Springer.
Khede MA, Raikwal MJ. Applying Web Usage and Structural Mining for Web-Page Recommendations: A Survey. International Research Journal of Engineering and Technology. 2015;2(9):1932-5.
Mehta H, Bhatia SK, Bedi P, Dixit VS. Collaborative personalized web recommender system using entropy based similarity measure. International Journal of Computer Science Issues. 2012;8(6):231-40.
Sezgin E, Özkan S, editors. A systematic literature review on Health Recommender Systems. E-Health and Bioengineering Conference (EHB), 2013; 2013: IEEE.
Suguna R, Sharmila D. An efficient web recommendation system using collaborative filtering and pattern discovery algorithms. International Journal of Computer Applications. 2013;70(3):37-44.
Kabirbeyk F, Harounabadi A, Sabzekar M. A fuzzy method for improving the functionality of search engines based on user & quot; s web interactions. Management Science Letters. 2015;5(4):377-86.
Dubey P, Nair PS. Recommendation System for Web Mining: A Review. International Journal of Computer Applications. 2015;109(11):1-6.
Munshi A, Tanna S. A Survey on Various Approaches to Find Frequent Item-sets from web logs. International Journal of Engineering Development and Research. 2015;3(4):606-10.
Verma S, Manjhvar AK. Optimized Ranking Based Recommender System for Various Application Based Fields. International Journal of Database Theory and Application. 2016;9(2):137-44.
Isinkaye F, Folajimi Y, Ojokoh B. Recommendation systems: Principles, methods and evaluation. Egyptian Informatics J. 2015;16(3):261-73.
Bobadilla J, Ortega F, Hernando A, Gutiérrez A. Recommender systems survey. Knowledge-Based Systems. 2013;46:109-32.
Umanets A, Ferreira A, Leite N. GuideMe–A tourist guide with a recommender system and social interaction. Procedia Technology. 2014;17:407-14.
Russell S, Yoon V. Applications of wavelet data reduction in a recommender system. Expert Systems with Applications. 2008;34(4):2316-25.
Melville P, Sindhwani V. Recommender systems. Encyclopedia of machine learning: Springer; 2011. p. 829-38.