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ORCIDInternational Journal of Medical Engineering and Informatics, Volume 15
Volume 15, Number 1, 2023
- Aayesha Hakim, R. N. Awale:
Harnessing the power of machine learning for breast anomaly prediction using thermograms. 1-22 - Shivani Saxena, Ritu Vijay, Pallavi Pahadiya, Kumod Kumar Gupta:
Classification of ECG arrhythmia using significant wavelet-based input features. 23-32 - Nikolay Alexeyevich Korenevskiy, Seregin Stanislav Petrovich, Riad Taha Al-Kasasbeh, Ayman Ahmad Alqaralleh, Gennadij Vjacheslavovich Siplivyj, Mahdi Salman Alshamasin
, Sofia Nikolaevna Rodionova, Ivan Mikhailovich Kholimenko, Maxim Yurievich Ilyash:
Managing infectious and inflammatory complications in closed kidney injuries on the basis of fuzzy models. 33-44 - Nan Li, Jiarui Yu, Xiaobo Mao, Yuping Zhao, Luqi Huang:
Analysis of body constitutions discrimination based on radial pulse wave by SVM. 45-57 - Sushil Ghildiyal, Saibal Manna, Nersisson Ruban:
Layer-based deep net models for automated classification of pulmonary tuberculosis from chest radiographs. 58-69 - Robin Singh Bhadoria, Yash Gupta, Ivan Perl:
Outbreak trends of fatality rate into coronavirus disease-2019 using deep learning. 70-83 - Himani S. Deshpande, Leena Ragha:
A hybrid random forest-based feature selection model using mutual information and F-score for preterm birth classification. 84-96 - Kamel Ferrat, Samir Benyahia:
Perception and confusion of speech in Algerian school children wearing hearing aids. 97-106
Volume 15, Number 2, 2023
- Sonal, S. R. N. Reddy, Dinesh Kumar:
Design and development of IoT-WBAN-based biomedical solutions via three-tier approach. 107-119 - Donald Douglas Atsa'am, Ruth Wario:
Class prediction of the prevalent transmission mode of COVID-19 within a geographic area. 120-130 - V. Ragul, Vishnu Priya Veeraraghavan, Surapaneni Krishna Mohan, Shanmugrathinam Alagarsamy, M. I. Niyas Ahamed:
A comprehensive review on the diagnosis and testing strategies for coronavirus disease. 131-138 - Ritam Sharma, Janki Ballabh Sharma, Ranjan Maheshwari:
Automatic detection of novel corona virus (SARS-CoV-2) infection in computed tomography scan based on local adaptive thresholding and kernel-support vectors. 139-152 - Gunjan Pahuja, Bhanu Prasad:
Early detection of Parkinson's disease by using neuroimaging and biomarkers through hard and soft classifiers. 153-165 - Esraa T. Sadek, Noha A. Seada, Said Ghoniemy:
Computer vision-based approach for detecting arm-flapping as autism suspect behaviour. 166-176 - Vibha Gujar, Shankar Srinivasan, Dinesh P. Mital, Frederick D. Coffman:
Patient related risks and outcome assessments on interhospital surgical site infection rates. 177-190 - Varun Gupta:
Application of chaos theory for arrhythmia detection in pathological databases. 191-202
Volume 15, Number 3, 2023
- Mehrdad Farzandipour, Ehsan Nabovati, Esmaeil Fakharian, Hossein Akbari, Soheila Saeedi:
Adaptive neuro-fuzzy inference system for the diagnosis of non-mechanical low back pain. 203-212 - Hadjer Benabdallah, Salim Kerai:
ICG signal noise cancellation algorithms for non-invasive hemodynamic monitoring. 213-220 - Mirza Touseef, Najla Raza, Adeel Zafar, Muhammad Zubair, Saad Zafar:
Improving prediction of one-year mortality of acute myocardial infarction using machine learning techniques. 221-231 - Maham Sarvat, Suhaib Masroor, Mohammad Muzammil Khan:
Telemetry drug delivery techniques and design: a review. 232-244 - Satyajit Pangaonkar, Reena Gunjan:
Estimation techniques of vocal fold disorder: a survey. 245-256 - Bouslah Ayoub, Nora Taleb:
A new Parkinson detection system based on evolutionary fast learning networks and voice measurements. 257-269 - Viet Quoc Huynh, Hoang-Thuy-Tien Vo, Thu Anh Nguyen, Tuan Van Huynh:
Classification of electroencephalography signals using three-dimensions convolution neural network with long short-term memory architecture. 270-281 - Prateek Pratyasha, Aditya Prasad Padhy:
Current status of hydroxychloroquine and azithromycin for the treatment of COVID-19: an observational review. 282-292
Volume 15, Number 4, 2023
- N. Asha, Siva Rama Krishnan, J. Gitanjali:
Integration of artificial intelligence in software development process for implementing a secure healthcare system - a review. 293-310 - Ruchika Arora, Indu Saini, Neetu Sood:
Analysis of chest X-ray images using deep learning approaches. 311-322 - Ayan Mondal, Vimal K. Shrivastava:
A fine tuning approach using modified DenseNet model for skin cancer classification. 323-335 - Y. Mahesha, C. Nagaraju:
Machine learning approach to detect congenital heart diseases using palmar dermatoglyphics. 336-351 - Pratima Tandon, Dinesh P. Mital, Shankar Srinivasan, Riddhi Vyas:
Clinical decision support system for the diagnosis of Hepatitis C virus. 352-370 - Catherine Wellan, Hillary Rayo, Shashi Mehta:
Comparison between whole exome sequencing and the FoundationOne® panel for the quantification of the tumour mutation burden of solid tumours: a systematic review and meta-analysis. 371-388 - Rithesh Pakkala Permanki Guthu, Shamantha Rai Bellipady, Srinidhi Rai, Tirthal Rai:
Early knowledge-driven prognostic reasoning model using effective data analytics approach. 389-401
Volume 15, Number 5, 2023
- Vidhi Bishnoi, Nidhi Goel, Akash Tayal:
Automated system-based classification of lung cancer using machine learning. 403-415 - Abdulwahhab Alshammari, Noorah Atiyah, Hanoof Alaboodi, Riyad Alshammari:
Identification of stroke using deepnet machine learning algorithm. 416-429 - Jay Patel, Dinesh P. Mital, Vaishali Singhal, Shankar Srinivasan, Huanmei Wu, Sashi Mehta:
Feasibility of automatic differential diagnosis of endodontic origin periapical lesions - a pilot study. 430-441 - C. R. Nagarathna, Kusuma Mohanchandra:
An overview of early detection of Alzheimer's disease. 442-457 - Kanica Sachdev, Manoj Kumar Gupta:
CIAE: class imbalance aware ensemble framework to predict drug side effects. 458-469 - Pratima Tandon, Dinesh P. Mital, Shankar Srinivasan, Riddhi Vyas:
Hepatitis C virus and cirrhosis: an analysis of incidence and cost of management of disease in the USA. 470-483 - Khaled Baazi, Mhania Guerti:
Automatic speech classification in school children with cleft (and lip) palate. 484-499
Volume 15, Number 6, 2023
- Veena Mayya, Karthik K, Krishnananda Prabhu Karadka, S. Sowmya Kamath:
Multi-task deep neural network models for learning COVID-19 disease representations from multimodal data. 501-515 - Rekha Rajagopal, V. Shyam Kumar:
Analysis on effect of resampling techniques on cardiac arrhythmia classification using convolutional neural networks. 516-524 - Nikolay Alexeyevich Korenevskiy, Seregin Stanislav Petrovich, Riad Taha Al-Kasasbeh, Ayman Ahmad Alqaralleh, Sofia Nikolaevna Rodionova, Ashraf Adel Shaqadan, Maxim Yurievich Ilyash, Mahdi Salman Alshamasin:
Developing a biotechnical scheme using fuzzy logic model for classification of severity of pyelonephritis. 525-539 - Akshita Abrol, Nisha Kapoor, Parveen Kumar Lehana:
Identification and classification of schizophrenic speech using convolutional neural network for medical healthcare. 540-548 - Gul Shaira Banu Jahangeer, T. Dhiliphan Rajkumar:
Efficient breast cancer detection using novel intensity partitioning-based clustering algorithm and multi-dimensional LSTM cyclic neural network. 549-563 - Hamid Bouraghi, Sorayya Rezayi, Soheila Saeedi, Rasoul Salimi, Meysam Jahani, Sajjad Abdolmaleki:
Comparing the performance of machine learning techniques for low back pain diagnosis. 564-572 - Nivedita Singh, R. H. Talwekar:
Detecting obstructive sleep apnea by extracting multimodal HRV features using ensemble subspace discriminant classifier. 573-587 - Omer Hamid:
Global sensitivity analysis implications on the design of PF-04475270 model predictive control system. 588-601
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