{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T13:32:26Z","timestamp":1716557546805},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"17","license":[{"start":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T00:00:00Z","timestamp":1653955200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T00:00:00Z","timestamp":1653955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1007\/s00521-022-07397-w","type":"journal-article","created":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T11:12:51Z","timestamp":1653995571000},"page":"15095-15097","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Improving healthcare outcomes using multimedia big data analytics"],"prefix":"10.1007","volume":"34","author":[{"given":"Imran","family":"Razzak","sequence":"first","affiliation":[]},{"given":"Peter","family":"Eklund","sequence":"additional","affiliation":[]},{"given":"Guandong","family":"Xu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,5,31]]},"reference":[{"key":"7397_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05558-3","author":"Z Ali","year":"2021","unstructured":"Ali Z, Imran M, Shoaib M (2021) An iot-based smart healthcare system to detect dysphonia. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05558-3","journal-title":"Neural Comput Appl"},{"key":"7397_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05210-0","author":"M Alweshah","year":"2020","unstructured":"Alweshah M, Al Khalaileh S, Gupta BB, Almomani A, Hammouri AI, Al-Betar MA (2020) The monarch butterfly optimization algorithm for solving feature selection problems. Neur Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05210-0","journal-title":"Neur Comput Appl"},{"key":"7397_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05429-x","author":"M Amin","year":"2020","unstructured":"Amin M, Shehwar D, Ullah A, Guarda T, Ali Tanveer T, Anwar S (2020) A deep learning system for health care IoT and smartphone malware detection. Neur Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05429-x","journal-title":"Neur Comput Appl"},{"key":"7397_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05588-x","author":"X Chen","year":"2021","unstructured":"Chen X, Tao X, Wang FL, HXie, (2021) Global research on artificial intelligence-enhanced human electroencephalogram analysis. Neur Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05588-x","journal-title":"Neur Comput Appl"},{"key":"7397_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-05866-2","author":"D Gupta","year":"2021","unstructured":"Gupta D, Borah P, Sharma UM, Prasad M (2021) Data-driven mechanism based on fuzzy lagrangian twin parametric-margin support vector machine for biomedical data analysis. Neur Comput Appl. https:\/\/doi.org\/10.1007\/s00521-021-05866-2","journal-title":"Neur Comput Appl"},{"key":"7397_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05624-w","author":"C Ieracitano","year":"2021","unstructured":"Ieracitano C, Mammone N, Hussain A, Morabito FC (2021) A novel explainable machine learning approach for eeg-based brain-computer interface systems. Neur Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05624-w","journal-title":"Neur Comput Appl"},{"key":"7397_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-05719-y","author":"KK Jena","year":"2021","unstructured":"Jena KK, Bhoi SK, Prasad M, Puthal D (2021) A fuzzy rule-based efficient hospital bed management approach for coronavirus disease-19 infected patients. Neur Comput Appl. https:\/\/doi.org\/10.1007\/s00521-021-05719-y","journal-title":"Neur Comput Appl"},{"key":"7397_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05394-5","author":"M Masud","year":"2020","unstructured":"Masud M, Eldin Rashed AE, Shamim Hossain M (2020) Convolutional neural network-based models for diagnosis of breast cancer. Neur Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05394-5","journal-title":"Neur Comput Appl"},{"key":"7397_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05408-2","author":"M Mazher","year":"2020","unstructured":"Mazher M, Qayyum A, Ahmad I, Alassafi MO (2020) Beyond traditional approaches: a partial directed coherence with graph theory-based mental load assessment using eeg modality. Neur Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05408-2","journal-title":"Neur Comput Appl"},{"key":"7397_CR10","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/j.neunet.2019.08.030","volume":"121","author":"I Razzak","year":"2020","unstructured":"Razzak I, Saris RA, Blumenstein M, Xu G (2020) Integrating joint feature selection into subspace learning: a formulation of 2dpca for outliers robust feature selection. Neur Netw 121:441\u2013451","journal-title":"Neur Netw"},{"issue":"9","key":"7397_CR11","doi-asserted-by":"publisher","first-page":"4417","DOI":"10.1007\/s00521-019-04095-y","volume":"32","author":"MI Razzak","year":"2020","unstructured":"Razzak MI, Imran M, Xu G (2020) Big data analytics for preventive medicine. Neur Comput Appl 32(9):4417\u20134451","journal-title":"Neur Comput Appl"},{"key":"7397_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-05721-4","author":"B Richhariya","year":"2021","unstructured":"Richhariya B, Tanveer M (2021) A fuzzy universum least squares twin support vector machine (fulstsvm). Neur Comput Appl. https:\/\/doi.org\/10.1007\/s00521-021-05721-4","journal-title":"Neur Comput Appl"},{"key":"7397_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05410-8","author":"A Sedik","year":"2021","unstructured":"Sedik A, Hammad M, El-Samie A, Fathi E, Gupta BB, El-Latif A, Ahmed A (2021) Efficient deep learning approach for augmented detection of coronavirus disease. Neur Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05410-8","journal-title":"Neur Comput Appl"},{"key":"7397_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05673-1","author":"M Stricker","year":"2021","unstructured":"Stricker M, Asim MN, Dengel A, Ahmed S (2021) Circnet: An encoder\u2013decoder-based convolution neural network (cnn) for circular rna identification. Neur Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05673-1","journal-title":"Neur Comput Appl"},{"key":"7397_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05347-y","author":"M Tahir","year":"2020","unstructured":"Tahir M, Tubaishat A, Al-Obeidat F, Shah B, Halim Z, Waqas M (2020) A novel binary chaotic genetic algorithm for feature selection and its utility in affective computing and healthcare. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05347-y","journal-title":"Neural Comput Appl"},{"key":"7397_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05519-w","author":"I Yaqoob","year":"2021","unstructured":"Yaqoob I, Salah K, Jayaraman R, Al-Hammadi Y (2021) Blockchain for healthcare data management: opportunities, challenges, and future recommendations. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05519-w","journal-title":"Neural Comput Appl"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07397-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-07397-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07397-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,13]],"date-time":"2022-08-13T21:32:01Z","timestamp":1660426321000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-07397-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,31]]},"references-count":16,"journal-issue":{"issue":"17","published-print":{"date-parts":[[2022,9]]}},"alternative-id":["7397"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-07397-w","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,31]]},"assertion":[{"value":"4 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 May 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 May 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}