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Health 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
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning. 2 - Dina Saif, Amany M. Sarhan
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
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
MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosis. 8 - Xing Li, Yikai Zhang, Yong Peng
Enhanced performance of EEG-based brain-computer interfaces by joint sample and feature importance assessment. 9 - Zakir Hussain
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
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration. 12 - Ziang Liu
Hierarchical classification of early microscopic lung nodule based on cascade network. 13 - Kalliopi-Maria Stathopoulou, Spiros V. Georgakopoulos
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
Analyzing and identifying predictable time range for stress prediction based on chaos theory and deep learning. 16 - Soroor Laffafchi, Ahmad Ebrahimi
Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data. 17 - Trapti Shrivastava
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
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing. 20 - Gaoshi Li, Zhipeng Hu
Identification of cancer driver genes based on hierarchical weak consensus model. 21 - Kranthi Kumar Lella
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
Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging. 24 - G. Sudha, N. Saravanan, M. Muthalakshmi
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
A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules. 27 - Sergey Korchagin
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
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 - Ayse Ayyüce Demirbas, Hüseyin Üzen
Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset. 32 - Hüseyin Üzen
A hybrid approach based on multipath Swin transformer and ConvMixer for white blood cells classification. 33 - Arturo Martínez-Rodrigo
Development of a recommendation system and data analysis in personalized medicine: an approach towards healthy vascular ageing. 34 - Amal Alshardan, Muhammad Kashif Saeed, Shoayee Dlaim Alotaibi, Abdullah M. Alashjaee, Nahla Salih, Radwa Marzouk:
Harbor seal whiskers optimization algorithm with deep learning-based medical imaging analysis for gastrointestinal cancer detection. 35 - Mahmood ul Hassan, Amin A. Al-Awady, Naeem Ahmed
A transfer learning enabled approach for ocular disease detection and classification. 36 - Ming Sheng, Shuliang Wang, Yong Zhang, Rui Hao
A multi-source heterogeneous medical data enhancement framework based on lakehouse. 37 - Sana Alazwari, Mashael S. Maashi, Jamal M. Alsamri
Improving laryngeal cancer detection using chaotic metaheuristics integration with squeeze-and-excitation resnet model. 38 - Demet Ozturk
Linguistic summarization of visual attention and developmental functioning of young children with autism spectrum disorder. 39 - Brahim Benabderrahmane
A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data. 40 - Hongyu Chen, Dong Lu, Ziyi Xiao, Shensuo Li, Wen Zhang, Xin Luan, Weidong Zhang, Guangyong Zheng
Comprehensive applications of the artificial intelligence technology in new drug research and development. 41 - Fatma Özcan
Rapid detection and interpretation of heart murmurs using phonocardiograms, transfer learning and explainable artificial intelligence. 43 - Umaisa Hassan, Amit Singhal
Convolutional neural network framework for EEG-based ADHD diagnosis in children. 44 - Zhisheng Huang
Tree hole rescue: an AI approach for suicide risk detection and online suicide intervention. 45 - Yijun Ma, Junyan Li, Jinbiao Zhang, Jilin Wang, Guozhen Sun, Yatao Zhang
A lightweight network based on multi-feature pseudo-color mapping for arrhythmia recognition. 46 - Eliseo Bao
Explainable depression symptom detection in social media. 47 - Ye Liang, Chonghui Guo
Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network. 48 - Usharani Bhimavarapu:
Optimized automated detection of diabetic retinopathy severity: integrating improved multithresholding tunicate swarm algorithm and improved hybrid butterfly optimization. 42
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last updated on 2024-09-23 23:16 CEST by the dblp team
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