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ORCIDHealth Information Science and Systems, Volume 12
Volume 12, Number 1, December 2024
- Yu Cheng Hsu
, Efstratios Tsougenis, Kwok-Leung Tsui:
Viewpoint-invariant exercise repetition counting. 1 - Chenyang Xu, Xin Li, Xinyue Zhang, Ruilin Wu, Yuxi Zhou, Qinghao Zhao, Yong Zhang, Shijia Geng, Yue Gu, Shenda Hong:
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning. 2 - Dina Saif, Amany M. Sarhan, Nada M. Elshennawy:
Deep-kidney: an effective deep learning framework for chronic kidney disease prediction. 3 - Ziming Zhang, Wenjun Tan, Yuhang Sun, Juntao Han, Zhe Wang, Hongsheng Xue, Ruoyu Wang:
Self-supervised neural network-based endoscopic monocular 3D reconstruction method. 4 - Qiang Fang, Yue Yang, Hao Wang, Hanxi Sun, Jiangming Chen, Zixiang Chen, Tian Pu, Xiaoqing Zhang, Fubao Liu:
LCRNet: local cross-channel recalibration network for liver cancer classification based on CT images. 5 - Shumin Ren, Jiakun Li, Julián Dorado, Alejandro Pazos Sierra, Humberto González Díaz, Aliuska Duardo-Sánchez, Bairong Shen:
From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine. 6 - Yifei Xie, Zhengfei Yang, Qiyu Yang, Dongning Liu, Shuzhuang Tang, Lin Yang, Xuan Duan, Changming Hu, Yu-Jing Lu, Jiaxun Wang:
Identification method of thyroid nodule ultrasonography based on self-supervised learning dual-branch attention learning framework. 7 - Fangfang Zhu, Ji Ding, Xiang Li, Yuer Lu, Xiao Liu, Frank Jiang, Qi Zhao, Honghong Su, Jianwei Shuai:
MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosis. 8 - Xing Li, Yikai Zhang, Yong Peng, Wanzeng Kong:
Enhanced performance of EEG-based brain-computer interfaces by joint sample and feature importance assessment. 9 - Zakir Hussain, Malaya Dutta Borah:
A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery. 10 - Xiaoli Zhang, Yongxionga Wang, Yiheng Tang, Zhe Wang:
Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification. 11 - Fangxu Chen, Wei Peng, Wei Dai, Shoulin Wei, Xiaodong Fu, Li Liu, Lijun Liu:
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration. 12 - Ziang Liu, Ye Yuan, Cui Zhang, Quan Zhu, Xinfeng Xu, Mei Yuan, Wenjun Tan:
Hierarchical classification of early microscopic lung nodule based on cascade network. 13 - Kalliopi-Maria Stathopoulou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation. 14 - Weiguang Wang, Yingying Feng, Haiyan Zhao, Xin Wang, Ruikai Cai, Wei Cai, Xia Zhang:
Mdpg: a novel multi-disease diagnosis prediction method based on patient knowledge graphs. 15 - Ningyun Li, Huijun Zhang, Ling Feng, Yang Ding, Haichuan Li:
Analyzing and identifying predictable time range for stress prediction based on chaos theory and deep learning. 16 - Soroor Laffafchi, Ahmad Ebrahimi, Samira Kafan:
Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data. 17 - Trapti Shrivastava, Vrijendra Singh, Anupam Agrawal:
Autism spectrum disorder detection with kNN imputer and machine learning classifiers via questionnaire mode of screening. 18 - Chuanzhen Zhu, Honglun Li, Zhiwei Song, Minbo Jiang, Limei Song, Lin Li, Xuan Wang, Qiang Zheng:
Jointly constrained group sparse connectivity representation improves early diagnosis of Alzheimer's disease on routinely acquired T1-weighted imaging-based brain network. 19 - Sergio Rubio-Martín, María Teresa García-Ordás, Martín Bayón-Gutiérrez, Natalia Prieto-Fernández, José Alberto Benítez-Andrades:
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing. 20 - Gaoshi Li, Zhipeng Hu, Xinlong Luo, Jiafei Liu, Jingli Wu, Wei Peng, Xiaoshu Zhu:
Identification of cancer driver genes based on hierarchical weak consensus model. 21 - Kranthi Kumar Lella, Jagadeesh M. S., P. J. A. Alphonse:
Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN. 22 - Rahul Hans, Sanjeev Kumar Sharma, Uwe Aickelin:
Optimised deep k-nearest neighbour's based diabetic retinopathy diagnosis(ODeep-NN) using retinal images. 23 - Chenyang Shi, Donglin Zhu, Changjun Zhou, Shi Cheng, Chengye Zou:
Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging. 24 - G. Sudha, N. Saravanan, M. Muthalakshmi, M. Birunda:
Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer's disorder detection using EEG signals. 25 - Yi Ren, Peng Huang, Xiaoyan Huang, Lu Zhang, Lingjuan Liu, Wei Xiang, Liqun Liu, Xiaojie He:
Alterations of DNA methylation profile in peripheral blood of children with simple obesity. 26 - Kadime Gögebakan, Ramazan Ulu, Rahib H. Abiyev, Melike Sah:
A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules. 27 - Sergey Korchagin, Ekaterina Zaychenkova, Egor Ershov, Pavel Pishchev, Yuri Yu. Vengerov:
Image-based second opinion for blood typing. 28 - Fang Liu, Zi-Kai Wang, Ming-Yang Li, Xiu-li Zhang, Fengchun Cai, Xiang-Dong Wang, Xue-Feng Gao, Wen Li:
Characterization of biliary and duodenal microbiota in patients with primary and recurrent choledocholithiasis. 29 - Wen Shi, Hong Yang, Linhai Xie, Xiao-Xia Yin, Yanchun Zhang:
A review of machine learning-based methods for predicting drug-target interactions. 30 - Shidong Wang, Yangyang Shen, Fanwei Zeng, Meng Wang, Bohan Li, Dian Shen, Xiaodong Tang, Beilun Wang:
Exploiting biochemical data to improve osteosarcoma diagnosis with deep learning. 31
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