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machine learning (5) 5
feature extraction (4) 4
support vector machines (4) 4
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feature selection (3) 3
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IEEE Access, ISSN 2169-3536, 2018, Volume 6, pp. 1292 - 1301
Journal Article
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 10/2016, Volume 10008, pp. 1000816 - 1000816-12
Falls are the most critical health problem for elderly people, which are often, cause significant injuries. To tackle a serious risk that made by the fall, we... 
Accelerometer | Activities of daily living | Fall detection | Smartphone | Wearable sensors | Machine learning
Conference Proceeding
by Guo, Shengwen and Lai, Chunren and Wu, Congling and Cen, Guiyin and Hariharan, A and Vijayakumari, Anupa A and Aarabi, Mohammad Hadi and Aballi, John and Nour, Abd Elazeim Abd Alla Mohamed and Abdelaziz, Mohammed and Abdolalizadeh, AmirHussein and Abdollahi, Mahsa and Abdul Aziz, Siti Aishah and Salam, Amritha Abdul and Abdulaziz, Nidhal and Abdulkadir, Ahmed and Abdullah, Sachal and Abdullah, Osama and Abrigo, Jill and Adachi, Noriaki and Adamson, Christopher and Adduru, Viraj and Adel, Tameem and Aderghal, Karim and Ades-Aron, Benjamin and Adeyosoye, Michael and Adlard, Paul and Srinivasa, Ag and Aganj, Iman and Agarwal, Ayush and Agarwal, Anupam and Agarwal, Anchit and Aguero, Cinthya and Aguiar, Pablo and Ahdidan, Jamila and Ahmad, Fayyaz and Ahmad, Rziwan and Ahmadi, Hessam and Ahmed, Nisar and Sid, Farid Ahmed and Ai, Edward and Ai, Qing and Aicha, Benyahia and Aitharaju, Sai and Aiyer, Aditya and Akkus, Zeynettin and Akodad, Sanae and Akramifard, Hamid and Aksman, Leon and Aktas, Said and Al-Janabi, Omar and Al-Nuaimi, Ali and AlAila, BahaaEddin and Alakwaa, Fadhl and Alam, Saruar and Alam, Fakhre and Alam Zaidi, Syed Farhan and Alan, Wiener and Alansari, Mukhtar and Alareqi, Ebrahim and Alberdi, Ane and Albsoul, Mohammad and Alderson, Thomas and Aleem, Hassan and Alex, Aishwarya and Alexander, Jacob and Alexopoulos, Panagiotis and Alfoldi, Jessica and Ali, Ayesha and Ali, Imdad and Alimoradian, Shirin and Aljabar, Paul and Aljabbouli, Hasan and Aljovic, Almir and Allen, Genevera and Alliende, Luz Maria and Almaguel, Frankis and Almgren, Hannes and Montes, Carmen Alonso and Alowaisheq, Tasneem and Alryalat, Saif Aldeen and Alsado, Majd and Alsaedi, Abdalrahman and Alshehri, Haifa and Altaf, Tooba and Altendahl, Marie and Altmann, Ane and Alvand, Ashkan and Filho, Manoel Alves and Alzubi, Raid and Amaral, Robert and Ambatipudi, Mythri and Amernath, Remya and Amlien, Inge and Amoroso, Nicola and Amri, Hakima and Anastasiou, Athanasios and Anbarasi, Jani and Anbarjafari, Gholamreza and Anderson, Wes and ... and Alzheimer's Dis Neuroimaging and Alzheimer's Disease Neuroimaging Initiative and The Alzheimer's Disease Neuroimaging Initiative
Frontiers in aging neuroscience, ISSN 1663-4365, 2017, Volume 9, Issue MAY, pp. 146 - 146
Journal Article
2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 08/2017, pp. 1 - 7
Machine learning techniques have the potential to revolutionise medical diagnosis. Single Nucleotide Polymorphisms (SNPs) are one of the most important sources... 
Support vector machines | Autism | Hybrid algorithms | Redundancy | Genomics | Single Nucleotide Polymorphism (SNP) | Feature extraction | Autism Spectrum Disorder(ASD) | machine learning | Mutual information | feature selection | Diseases
Conference Proceeding
2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE), 08/2018, pp. 41 - 46
Alcohol use is one of the main risk factors related to many diseases. However, alcohol use information is buried in the patient's clinical records, and... 
Support vector machines | Rule-based systems | NLP | alcohol use | Keyword search | MIMICs | Machine learning | Alcoholic beverages | Feature extraction | Data mining | clinical records | Clinical records | Alcohol use
Conference Proceeding
2018 24th International Conference on Automation and Computing (ICAC), 09/2018, pp. 1 - 6
Machine learning and data mining techniques have recently gained more popularity in the field of Medical diagnosis, especially for the analysis of the human... 
Support vector machines | Hypertension | Hypertension disease | ensemble classification | Genomics | Machine learning | SNPs | Feature extraction | Bioinformatics | feature selection | Diseases
Conference Proceeding
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