Deep neuro‐fuzzy approach for risk and severity prediction using recommendation systems in connected health care

[1]  Manas Gaur,et al.  A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care , 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

[2]  Asmaa S. Hussein,et al.  Efficient Chronic Disease Diagnosis prediction and recommendation system , 2012, 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences.

[3]  Feng Li,et al.  Parameters Compressing in Deep Learning , 2020 .

[4]  J. Archenaa,et al.  Health Recommender System using Big data analytics , .

[5]  Bo Jin,et al.  Which Doctor to Trust: A Recommender System for Identifying the Right Doctors , 2016, Journal of medical Internet research.

[6]  B. Gerber,et al.  The Patient-Physician Relationship in the Internet Age: Future Prospects and the Research Agenda , 2001, Journal of medical Internet research.

[7]  Gunasekaran Manogaran,et al.  RETRACTED ARTICLE: Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System , 2017, Multimedia Tools and Applications.

[8]  Vijayan Sugumaran,et al.  Hidden Two-Stream Collaborative Learning Network for Action Recognition , 2020, Computers, Materials & Continua.

[9]  V. Shobana,et al.  A personalized recommendation engine for prediction of disorders using big data analytics , 2017, 2017 International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT).

[10]  Kee-Wook Rim,et al.  Design of Diet Recommendation System for Healthcare Service Based on User Information , 2009, 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology.

[11]  Haohan Liu,et al.  Overview Of Context-aware Recommender System Research , 2015, ICM 2015.

[12]  Jesús Bobadilla,et al.  Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization , 2018, IEEE Access.

[13]  Sevgi Ozkan,et al.  A systematic literature review on Health Recommender Systems , 2013, 2013 E-Health and Bioengineering Conference (EHB).

[14]  Ji Zhang,et al.  An Intelligent Recommender System Based on Short-Term Risk Prediction for Heart Disease Patients , 2015, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

[15]  Hans-Ulrich Prokosch,et al.  Empowerment of patients and communication with health care professionals through an electronic health record , 2003, Int. J. Medical Informatics.

[16]  Thomas Rist,et al.  CARE - extending a digital picture frame with a recommender mode to enhance well-being of elderly people , 2015, 2015 9th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth).

[17]  Kyung-Yong Chung,et al.  Knowledge-based dietary nutrition recommendation for obese management , 2016, Inf. Technol. Manag..

[18]  Jianming Zhang,et al.  Attribute-based knowledge transfer learning for human pose estimation , 2013, Neurocomputing.

[19]  Limei Peng,et al.  CADRE: Cloud-Assisted Drug REcommendation Service for Online Pharmacies , 2014, Mobile Networks and Applications.

[20]  Jin Wang,et al.  Lightweight deep network for traffic sign classification , 2019, Annals of Telecommunications.

[21]  Vahideh Zarea Gavgani,et al.  Health information need and seeking behavior of patients in developing countries' context; an Iranian experience , 2010, IHI.

[22]  Adam Prügel-Bennett,et al.  A Scalable, Accurate Hybrid Recommender System , 2010, 2010 Third International Conference on Knowledge Discovery and Data Mining.

[23]  Vincent S. Tseng,et al.  An interactive healthcare system with personalized diet and exercise guideline recommendation , 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

[24]  Wei Wang,et al.  A Novel Image Classification Approach via Dense-MobileNet Models , 2020, Mob. Inf. Syst..

[25]  Felix Gräßer,et al.  Neighborhood-based Collaborative Filtering for Therapy Decision Support , 2017, HealthRecSys@RecSys.

[26]  Sungyoung Lee,et al.  KARE: a hybrid reasoning approach for promoting active lifestyle , 2015, IMCOM.

[27]  Constantinos S. Pattichis,et al.  Assessment of the Risk Factors of Coronary Heart Events Based on Data Mining With Decision Trees , 2010, IEEE Transactions on Information Technology in Biomedicine.

[28]  Fulong Chen,et al.  Coupling a Fast Fourier Transformation With a Machine Learning Ensemble Model to Support Recommendations for Heart Disease Patients in a Telehealth Environment , 2017, IEEE Access.

[29]  Arun Kumar Sangaiah,et al.  Aspect based sentiment analysis by a linguistically regularized CNN with gated mechanism , 2019, J. Intell. Fuzzy Syst..

[30]  Syed Muhammad Anwar,et al.  A statistical analysis based recommender model for heart disease patients , 2017, Int. J. Medical Informatics.

[31]  R. Sherratt,et al.  Adversarial learning for distant supervised relation extraction , 2018 .

[32]  Qian Zhang,et al.  A Framework of Hybrid Recommender System for Personalized Clinical Prescription , 2015, 2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE).

[33]  Bo Tan,et al.  Electrocardiogram soft computing using hybrid deep learning CNN-ELM , 2020, Appl. Soft Comput..

[34]  Lior Rokach,et al.  Recommender Systems Handbook , 2010 .

[35]  Carlos Ordonez,et al.  Association rule discovery with the train and test approach for heart disease prediction , 2006, IEEE Transactions on Information Technology in Biomedicine.

[36]  Min Chen,et al.  iDoctor: Personalized and professionalized medical recommendations based on hybrid matrix factorization , 2017, Future Gener. Comput. Syst..

[37]  Ibrahim A. Hameed,et al.  Deep learning based classification for healthcare data analysis system , 2017, 2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC).

[38]  Yan Gui,et al.  Joint learning of visual and spatial features for edit propagation from a single image , 2019, The Visual Computer.