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ORCIDHealth Information Science and Systems, Volume 9
Volume 9, Number 1, December 2021
- Ilias Tachmazidis
, Tianhua Chen, Marios Adamou, Grigoris Antoniou:
A hybrid AI approach for supporting clinical diagnosis of attention deficit hyperactivity disorder (ADHD) in adults. 1 - Tuan D. Pham:
Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning? 2 - Ting Liu, Xueli Pan, Xu Wang, K. Anton Feenstra, Jaap Heringa, Zhisheng Huang:
Predicting the relationships between gut microbiota and mental disorders with knowledge graphs. 3 - Wenjun Tan, Yang Xu, Pan Liu, Chunyan Liu, Yujin Li, Yanrui Du, Chao Chen, Yuping Wang, Yanchun Zhang:
A method of VR-EEG scene cognitive rehabilitation training. 4 - Kamel A. Samara, Zaher Al Aghbari, Amani Abusafia:
GLIMPSE: a glioblastoma prognostication model using ensemble learning - a surveillance, epidemiology, and end results study. 5 - Guo-tian Lin, Yue-Hua Zhang, Mei-fang Xiao, Yong Wei, Jin-ni Chen, Dao-jiong Lin, Jia-Chong Wang, Qiu-yu Lin, Zhi-xian Lei, Zhen-qiong Zeng, Ling Li, Hong-ai Li, Ying Zheng, Qiu-qiong Li, Huang-zhen Zhen, Yu-ming Jin, Qing-xia Wu, Fan Zhang, Wei Xiang:
Epidemiological investigation of a COVID-19 family cluster outbreak transmitted by a 3-month-old infant. 6 - Wenjun Tan, Yang Xu, Pan Liu, Chunyan Liu, Yujin Li, Yanrui Du, Chao Chen, Yuping Wang, Yanchun Zhang:
Correction to: A method of VR‑EEG scene cognitive rehabilitation training. 7 - Federico Cabitza, Andrea Campagner, Luca Maria Sconfienza:
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading. 8 - Hesam Akbari, Muhammad Tariq Sadiq, Ateeq Ur Rehman:
Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain. 9 - Wenjun Tan, Pan Liu, Xiaoshuo Li, Yao Liu, Qinghua Zhou, Chao Chen, Zhaoxuan Gong, Xiaoxia Yin, Yanchun Zhang:
Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network. 10 - Zhisheng Huang, Qing Hu, Mingqun Liao, Cong Miao, Chengyi Wang, Guanghua Liu:
Knowledge Graphs of Kawasaki Disease. 11 - Mohammad Alfrad Nobel Bhuiyan, Patrick Ryan, Farzan Oroumyeh, Yajna Jathan, Madhumitaa Roy, Siv Balachandran, Cole Brokamp:
Source-specific contributions of particulate matter to asthma-related pediatric emergency department utilization. 12 - Phoebe Neo, Terence Mayne, Xiping Fu, Zhiyi Huang, Elizabeth A. Franz:
Crosstalk disrupts the production of motor imagery brain signals in brain-computer interfaces. 13 - Kittichai Tharawadeepimuk, Yodchanan Wongsawat:
Quantitative EEG in sports: performance level estimation of professional female soccer players. 14 - Aysen Degerli, Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj:
COVID-19 infection map generation and detection from chest X-ray images. 15 - Xiao-Xia Yin, Yunxiang Jian, Yang Zhang, Yanchun Zhang, Jianlin Wu, Hui Lu, Min-Ying Su:
Automatic breast tissue segmentation in MRIs with morphology snake and deep denoiser training via extended Stein's unbiased risk estimator. 16 - Md. Delowar Hossain, Muhammad Ashad Kabir, Adnan Anwar, Md Zahidul Islam:
Detecting autism spectrum disorder using machine learning techniques. 17 - Alex Akinbi, Mark Forshaw, Victoria Blinkhorn:
Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies. 18 - Alexandra K. Mullins, Heather Morris, Cate Bailey, Michael Ben-Meir, David Rankin, Mariam Mousa, Helen Skouteris:
Physicians' and pharmacists' use of My Health Record in the emergency department: results from a mixed-methods study. 19 - Alan Baronio Menegotto, Carla Diniz Lopes Becker, Sílvio César Cazella:
Computer-aided diagnosis of hepatocellular carcinoma fusing imaging and structured health data. 20 - Evgeny Bakin, Oksana Stanevich, Daria M. Danilenko, Dmitry A. Lioznov, Alexander N. Kulikov:
Fast prototyping of a local fuzzy search system for decision support and retraining of hospital staff during pandemic. 21 - Chengcheng Zhang, Yujia Ding, Qidi Peng:
Who determines United States Healthcare out-of-pocket costs? Factor ranking and selection using ensemble learning. 22 - Siuly Siuly, Uwe Aickelin, Md. Enamul Kabir, Zhisheng Huang, Yanchun Zhang:
Guest Editorial: Special issue on "Artificial Intelligence in Health Informatics". 23 - Chiranjibi Sitaula, Sunil Aryal:
New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis. 24 - Farhan Sadik, Ankan Ghosh Dastider, Shaikh Anowarul Fattah:
SpecMEn-DL: spectral mask enhancement with deep learning models to predict COVID-19 from lung ultrasound videos. 28 - Rodrique Kafando, Rémy Decoupes, Sarah Valentin, Lucile Sautot, Maguelonne Teisseire, Mathieu Roche:
ITEXT-BIO: Intelligent Term EXTraction for BIOmedical analysis. 29 - Xinyi Wang, Saurabh Garg, Son N. Tran, Quan Bai, Jane E. Alty:
Hand tremor detection in videos with cluttered background using neural network based approaches. 30 - Erika Scott, Liane Hirabayashi, Alex Levenstein, Nicole Krupa, Paul Jenkins:
The development of a machine learning algorithm to identify occupational injuries in agriculture using pre-hospital care reports. 31 - Federica Amato, Luigi Borzì, Gabriella Olmo, Juan Rafael Orozco-Arroyave:
An algorithm for Parkinson's disease speech classification based on isolated words analysis. 32 - Ibrahem Kandel, Mauro Castelli:
Improving convolutional neural networks performance for image classification using test time augmentation: a case study using MURA dataset. 33 - Vitor Bezzan, Cleber Damião Rocco:
Predicting special care during the COVID-19 pandemic: a machine learning approach. 34 - Yi Luo, Henry Carretta, Inkoo Lee, Gabriel Leblanc, Debajyoti Sinha, George Rust:
Naïve Bayesian network-based contribution analysis of tumor biology and healthcare factors to racial disparity in breast cancer stage-at-diagnosis. 35 - Vasilis Nikolaou, Sebastiano Massaro, Masoud Fakhimi, Lampros K. Stergioulas, Wolfgang Garn:
COVID-19 diagnosis from chest x-rays: developing a simple, fast, and accurate neural network. 36 - Andrea Campagner, Anna Carobene, Federico Cabitza:
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count. 37 - Kianoush Fathi Vajargah, Sara Ghaniyari Benis, Hamid Mottaghi Golshan:
Detection of the quality of vital signals by the Monte Carlo Markov Chain (MCMC) method and noise deleting. - Atae Rezaei Aghdam, Jason Watson, Shah Jahan Miah, Cynthia Cliff:
A novel information sharing framework for people living with type-2 diabetes in the context of a group education program. - Yang Liu, Christopher Whitfield, Tianyang Zhang, Amanda Hauser, Taeyonn Reynolds, Mohd Anwar:
Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning.
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