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2
Academic Journal
Automated Triaging Medical Referral for Otorhinolaryngology Using Data Mining and Machine Learning Techniques

Authors: Wee, Chee Keong, Zhou, XuJuan, Gururajan, Raj, Tao, Xiaohui, Chen, Jennifer, Gururajan, Rashmi, Wee, Nathan, Barua, Prabal Datta

Subject Terms: Medical diagnostic imaging, Australia, Data mining, Biological neural networks, Natural language processing, Machine learning algorithms, Licenses, Artificial intelligence application, association rules mining, healthcare application of AI, machine learning and text classification, medical natural language processing, neural network

File Description: application/pdf

Relation: https://research.usq.edu.au/download/43ec39e4938be3c8fa7a47906bd9f94e77fef34e82e5efba54a2473086a3e49e/1589185/Automated_Triaging_Medical_Referral_for_Otorhinolaryngology_Using_Data_Mining_and_Machine_Learning_Techniques.pdf; https://doi.org/10.1109/ACCESS.2022.3168980; Wee, Chee Keong, Zhou, XuJuan, Gururajan, Raj, Tao, Xiaohui, Chen, Jennifer, Gururajan, Rashmi, Wee, Nathan and Barua, Prabal Datta. 2022. "Automated Triaging Medical Referral for Otorhinolaryngology Using Data Mining and Machine Learning Techniques ." IEEE Access. 10, pp. 44531-44548. https://doi.org/10.1109/ACCESS.2022.3168980

Availability: https://doi.org/10.1109/ACCESS.2022.3168980
https://research.usq.edu.au/item/q7476/automated-triaging-medical-referral-for-otorhinolaryngology-using-data-mining-and-machine-learning-techniques
https://research.usq.edu.au/download/43ec39e4938be3c8fa7a47906bd9f94e77fef34e82e5efba54a2473086a3e49e/1589185/Automated_Triaging_Medical_Referral_for_Otorhinolaryngology_Using_Data_Mining_and_Machine_Learning_Techniques.pdf

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3
Academic Journal
Water quality management using hybrid machine learning and data mining algorithms: An indexing approach

Authors: Aslam, Bilal, Maqsoom, Ahsen, Cheema, Ali Hassan, Ullah, Fahim, Alharbi, Abdullah, Imran, Muhammad

Subject Terms: Prediction algorithms, Water pollution, Classification algorithms, Water quality, Rivers, Random forests, Machine learning algorithms, Indexes, Machine learning, Data mining

File Description: application/pdf

Relation: https://research.usq.edu.au/download/5d8af6798992d3dd57d96f3ac28cccd5f39e286aa0b46fe3947dc4464d52cdcf/1723692/Water_Quality_Management_Using_Hybrid_Machine_Learning_and_Data_Mining_Algorithms_An_Indexing_Approach.pdf; https://doi.org/10.1109/ACCESS.2022.3221430; Aslam, Bilal, Maqsoom, Ahsen, Cheema, Ali Hassan, Ullah, Fahim, Alharbi, Abdullah and Imran, Muhammad. 2022. "Water quality management using hybrid machine learning and data mining algorithms: An indexing approach." IEEE Access. 10, pp. 119692 - 119705. https://doi.org/10.1109/ACCESS.2022.3221430

Availability: https://doi.org/10.1109/ACCESS.2022.3221430
https://research.usq.edu.au/item/q7wz6/water-quality-management-using-hybrid-machine-learning-and-data-mining-algorithms-an-indexing-approach
https://research.usq.edu.au/download/5d8af6798992d3dd57d96f3ac28cccd5f39e286aa0b46fe3947dc4464d52cdcf/1723692/Water_Quality_Management_Using_Hybrid_Machine_Learning_and_Data_Mining_Algorithms_An_Indexing_Approach.pdf

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7
Academic Journal
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

Authors: Sharifrazi, Danial, Alizadehsani, Roohallah, Roshanzamir, Mohamad, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Jafari, Mahboobeh, Hussain, Sadiq, Sani, Zahra Alizade, Hasanzadeh, Fereshteh, Khozeimeh, Fahime, Khosravi, Abbas, Nahavandi, Saeid, Panahiazar, Maryam, Zare, Assef, Islam, Sheikh Mohammed Shariful, Acharya, U. Rajendra

Subject Terms: CNN, Image processing, Data mining, Machine learning, Deep learning, Feature extraction, Covid-19, Sobel operator, SVM

Relation: https://doi.org/10.1016/j.bspc.2021.102622; Sharifrazi, Danial, Alizadehsani, Roohallah, Roshanzamir, Mohamad, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Jafari, Mahboobeh, Hussain, Sadiq, Sani, Zahra Alizade, Hasanzadeh, Fereshteh, Khozeimeh, Fahime, Khosravi, Abbas, Nahavandi, Saeid, Panahiazar, Maryam, Zare, Assef, Islam, Sheikh Mohammed Shariful and Acharya, U. Rajendra. 2021. "Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images." Biomedical Signal Processing and Control. 68. https://doi.org/10.1016/j.bspc.2021.102622

Availability: https://doi.org/10.1016/j.bspc.2021.102622
https://research.usq.edu.au/item/z1w09/fusion-of-convolution-neural-network-support-vector-machine-and-sobel-filter-for-accurate-detection-of-covid-19-patients-using-x-ray-images

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11
Conference
MeKG: building a medical knowledge graph by data mining from MEDLINE ; 12th International Conference on Brain Informatics (BI 2019)

Authors: Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhou, Xujuan, Gururajan, Raj

Subject Terms: MeSH, MEDLINE, knowledge graph, data mining

Relation: https://doi.org/10.1007/978-3-030-37078-7_16; Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhou, Xujuan and Gururajan, Raj. 2019. "MeKG: building a medical knowledge graph by data mining from MEDLINE." Liang, Peipeng, Goel, Vinod and Shan, Chunlei (ed.) 12th International Conference on Brain Informatics (BI 2019). Haikou, China 13 - 15 Dec 2019 Switzerland. Springer. https://doi.org/10.1007/978-3-030-37078-7_16

Availability: https://doi.org/10.1007/978-3-030-37078-7_16
https://research.usq.edu.au/item/q5963/mekg-building-a-medical-knowledge-graph-by-data-mining-from-medline

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14
Academic Journal
High average-utility sequential pattern mining based on uncertain databases

Authors: Lin, Jerry Chun-Wei, Li, Ting, Pirouz, Matin, Zhang, Ji, Fournier-Viger, Philippe

Subject Terms: data mining, high average-utility sequential pattern mining, sequential patterns, uncertain database

Relation: https://doi.org/10.1007/s10115-019-01385-8; Lin, Jerry Chun-Wei, Li, Ting, Pirouz, Matin, Zhang, Ji and Fournier-Viger, Philippe. 2020. "High average-utility sequential pattern mining based on uncertain databases." Knowledge and Information Systems. 62 (3), pp. 1199-1228. https://doi.org/10.1007/s10115-019-01385-8

Availability: https://doi.org/10.1007/s10115-019-01385-8
https://research.usq.edu.au/item/q59y8/high-average-utility-sequential-pattern-mining-based-on-uncertain-databases

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19
Conference
PPSF: an open-source privacy-preserving and security mining framework ; IEEE International Conference on Data Mining ; ICDM ; 18th IEEE International Conference on Data Mining Workshops (ICDMW 2018)

Authors: Lin, Jerry Chun-Wei, Fournier-Viger, Philippe, Wu, Lintai, Gan, Wensheng, Djenouri, Youcef, Zhang, Ji

Subject Terms: privacy-preserving data mining, privacy-preservingutility mining, security, data anonymity

Relation: https://doi.org/10.1109/ICDMW.2018.00208; Lin, Jerry Chun-Wei, Fournier-Viger, Philippe, Wu, Lintai, Gan, Wensheng, Djenouri, Youcef and Zhang, Ji. 2018. "PPSF: an open-source privacy-preserving and security mining framework." Tong, Hanghang, Li, Zhenhui (Jessie), Zhu, Feida and Yu, Jeffrey (ed.) 18th IEEE International Conference on Data Mining Workshops (ICDMW 2018). Singapore 17 - 20 Nov 2018 New York, United States. https://doi.org/10.1109/ICDMW.2018.00208

Availability: https://doi.org/10.1109/ICDMW.2018.00208
https://research.usq.edu.au/item/q52w2/ppsf-an-open-source-privacy-preserving-and-security-mining-framework

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