Vyzkoušejte nový nástroj s podporou AI
Summon Research Assistant
BETA
Deep ensemble learning for Alzheimer's disease classification
An, Ning, Ding, Huitong, Yang, Jiaoyun, Au, Rhoda, Ang, Ting F.A.
Published in Journal of biomedical informatics (01.05.2020)
Published in Journal of biomedical informatics (01.05.2020)
Get full text
Journal Article
Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect
Virginia Anikwe, Chioma, Friday Nweke, Henry, Chukwu Ikegwu, Anayo, Adolphus Egwuonwu, Chukwunonso, Uchenna Onu, Fergus, Rita Alo, Uzoma, Wah Teh, Ying
Published in Expert systems with applications (15.09.2022)
Published in Expert systems with applications (15.09.2022)
Get full text
Journal Article
Comparison of Selected Machine Learning Algorithms in the Analysis of Mental Health Indicators
Bieliński, Adrian, Rojek, Izabela, Mikołajewski, Dariusz
Published in Electronics (Basel) (01.11.2023)
Published in Electronics (Basel) (01.11.2023)
Get full text
Journal Article
Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches
Kazerouni, Faranak, Bayani, Azadeh, Asadi, Farkhondeh, Saeidi, Leyla, Parvizi, Nasrin, Mansoori, Zahra
Published in BMC bioinformatics (27.08.2020)
Published in BMC bioinformatics (27.08.2020)
Get full text
Journal Article
Deep Learning Algorithms with Demographic Information Help to Detect Tuberculosis in Chest Radiographs in Annual Workers’ Health Examination Data
Heo, Seok-Jae, Kim, Yangwook, Yun, Sehyun, Lim, Sung-Shil, Kim, Jihyun, Nam, Chung-Mo, Park, Eun-Cheol, Jung, Inkyung, Yoon, Jin-Ha
Published in International journal of environmental research and public health (16.01.2019)
Published in International journal of environmental research and public health (16.01.2019)
Get full text
Journal Article
Predicting second breast cancer among women with primary breast cancer using machine learning algorithms, a population‐based observational study
Syleouni, Maria‐Eleni, Karavasiloglou, Nena, Manduchi, Laura, Wanner, Miriam, Korol, Dimitri, Ortelli, Laura, Bordoni, Andrea, Rohrmann, Sabine
Published in International journal of cancer (01.09.2023)
Published in International journal of cancer (01.09.2023)
Get full text
Journal Article
The feasibility of K i parametric imaging in clinical dynamic 18 F-FDG total-body PET using a simulated-data-driven machine learning algorithm
Gu, Wenjian, Liu, Weiping, Yang, Wentong, Wang, Yihan, Liu, Ze, Zhu, Zhanshi, Li, Yanxiao, Xu, Tianyi, Shi, Hongcheng, Wang, Kuanquan, Luo, Gongning, Chen, Xiaojun, Zhou, Yun
Published in Medical physics (Lancaster) (01.10.2025)
Published in Medical physics (Lancaster) (01.10.2025)
Get more information
Journal Article
Big data dimensionality reduction-based supervised machine learning algorithms for NASH diagnosis
Tutsoy, Onder, Ozturk, Huseyin Ali, Sumbul, Hilmi Erdem
Published in BMC bioinformatics (21.10.2025)
Published in BMC bioinformatics (21.10.2025)
Get full text
Journal Article
Diagnostic accuracy of convolutional neural network–based machine learning algorithms in endoscopic severity prediction of ulcerative colitis: a systematic review and meta-analysis
Jahagirdar, Vinay, Bapaye, Jay, Chandan, Saurabh, Ponnada, Suresh, Kochhar, Gursimran S., Navaneethan, Udayakumar, Mohan, Babu P.
Published in Gastrointestinal endoscopy (01.08.2023)
Published in Gastrointestinal endoscopy (01.08.2023)
Get full text
Journal Article
Performance and efficiency of machine learning algorithms for analyzing rectangular biomedical data
Deng, Fei, Huang, Jibing, Yuan, Xiaoling, Cheng, Chao, Zhang, Lanjing
Published in Laboratory investigation (01.04.2021)
Published in Laboratory investigation (01.04.2021)
Get full text
Journal Article
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
Gianfrancesco, Milena A, Tamang, Suzanne, Yazdany, Jinoos, Schmajuk, Gabriela
Published in JAMA internal medicine (01.11.2018)
Published in JAMA internal medicine (01.11.2018)
Get full text
Journal Article
Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis
Lei, Nuo, Zhang, Xianlong, Wei, Mengting, Lao, Beini, Xu, Xueyi, Zhang, Min, Chen, Huifen, Xu, Yanmin, Xia, Bingqing, Zhang, Dingjun, Dong, Chendi, Fu, Lizhe, Tang, Fang, Wu, Yifan
Published in BMC medical informatics and decision making (01.08.2022)
Published in BMC medical informatics and decision making (01.08.2022)
Get full text
Journal Article
Review of Machine Learning Algorithms for Diagnosing Mental Illness
Cho, Gyeongcheol, Yim, Jinyeong, Choi, Younyoung, Ko, Jungmin, Lee, Seoung-Hwan
Published in Psychiatry investigation (01.04.2019)
Published in Psychiatry investigation (01.04.2019)
Get full text
Journal Article