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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)
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Journal Article
Non-invasive assessment of NAFLD as systemic disease—A machine learning perspective
Canbay, Ali, Kälsch, Julia, Neumann, Ursula, Rau, Monika, Hohenester, Simon, Baba, Hideo A., Rust, Christian, Geier, Andreas, Heider, Dominik, Sowa, Jan-Peter
Published in PloS one (26.03.2019)
Published in PloS one (26.03.2019)
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Journal Article
FWNNet: Presentation of a New Classifier of Brain Tumor Diagnosis Based on Fuzzy Logic and the Wavelet-Based Neural Network Using Machine-Learning Methods
Ahmadi, Mohsen, Dashti Ahangar, Fatemeh, Astaraki, Nikoo, Abbasi, Mohammad, Babaei, Behzad
Published in Computational intelligence and neuroscience (2021)
Published in Computational intelligence and neuroscience (2021)
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Journal Article
Learning from vertically distributed data across multiple sites: An efficient privacy-preserving algorithm for Cox proportional hazards model with variable selection
Miao, Guanhong, Yu, Lei, Yang, Jingyun, Bennett, David A., Zhao, Jinying, Wu, Samuel S.
Published in Journal of biomedical informatics (01.01.2024)
Published in Journal of biomedical informatics (01.01.2024)
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Journal Article
Development of a Deep Learning Algorithm for the Histopathologic Diagnosis and Gleason Grading of Prostate Cancer Biopsies: A Pilot Study
Kott, Ohad, Linsley, Drew, Amin, Ali, Karagounis, Andreas, Jeffers, Carleen, Golijanin, Dragan, Serre, Thomas, Gershman, Boris
Published in European urology focus (01.03.2021)
Published in European urology focus (01.03.2021)
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Journal Article
Predicting the occurrence of surgical site infections using text mining and machine learning
da Silva, Daniel A., ten Caten, Carla S., dos Santos, Rodrigo P., Fogliatto, Flavio S., Hsuan, Juliana
Published in PloS one (13.12.2019)
Published in PloS one (13.12.2019)
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Journal Article
Performance Analysis of Conventional Machine Learning Algorithms for Identification of Chronic Kidney Disease in Type 1 Diabetes Mellitus Patients
Chowdhury, Nakib Hayat, Reaz, Mamun Bin Ibne, Haque, Fahmida, Ahmad, Shamim, Ali, Sawal Hamid Md, A Bakar, Ahmad Ashrif, Bhuiyan, Mohammad Arif Sobhan
Published in Diagnostics (Basel) (03.12.2021)
Published in Diagnostics (Basel) (03.12.2021)
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Journal Article
Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes
Betzler, Bjorn Kaijun, Chee, Evelyn Yi Lyn, He, Feng, Lim, Cynthia Ciwei, Ho, Jinyi, Hamzah, Haslina, Tan, Ngiap Chuan, Liew, Gerald, McKay, Gareth J, Hogg, Ruth E, Young, Ian S, Cheng, Ching-Yu, Lim, Su Chi, Lee, Aaron Y, Wong, Tien Yin, Lee, Mong Li, Hsu, Wynne, Tan, Gavin Siew Wei, Sabanayagam, Charumathi
Published in Journal of the American Medical Informatics Association : JAMIA (17.11.2023)
Published in Journal of the American Medical Informatics Association : JAMIA (17.11.2023)
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Journal Article
Artificial intelligence for analyzing orthopedic trauma radiographs: Deep learning algorithms-are they on par with humans for diagnosing fractures?
Olczak, Jakub, Fahlberg, Niklas, Maki, Atsuto, Razavian, Ali Sharif, Jilert, Anthony, Stark, André, Sköldenberg, Olof, Gordon, Max
Published in Acta orthopaedica (02.11.2017)
Published in Acta orthopaedica (02.11.2017)
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Journal Article
Breast Cancer Detection Using Convoluted Features and Ensemble Machine Learning Algorithm
Umer, Muhammad, Naveed, Mahum, Alrowais, Fadwa, Ishaq, Abid, Hejaili, Abdullah Al, Alsubai, Shtwai, Eshmawi, Ala’ Abdulmajid, Mohamed, Abdullah, Ashraf, Imran
Published in Cancers (06.12.2022)
Published in Cancers (06.12.2022)
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Journal Article
A Novel Framework for Abnormal Risk Classification over Fetal Nuchal Translucency Using Adaptive Stochastic Gradient Descent Algorithm
Verma, Deepti, Agrawal, Shweta, Iwendi, Celestine, Sharma, Bhisham, Bhatia, Surbhi, Basheer, Shakila
Published in Diagnostics (Basel) (31.10.2022)
Published in Diagnostics (Basel) (31.10.2022)
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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)
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Journal Article
Inconsistency in the use of the term “validation” in studies reporting the performance of deep learning algorithms in providing diagnosis from medical imaging
Kim, Dong Wook, Jang, Hye Young, Ko, Yousun, Son, Jung Hee, Kim, Pyeong Hwa, Kim, Seon-Ok, Lim, Joon Seo, Park, Seong Ho
Published in PLOS ONE (11.09.2020)
Published in PLOS ONE (11.09.2020)
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Journal Article
A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease
Bari Antor, Morshedul, Jamil, A. H. M. Shafayet, Mamtaz, Maliha, Monirujjaman Khan, Mohammad, Aljahdali, Sultan, Kaur, Manjit, Singh, Parminder, Masud, Mehedi
Published in Journal of healthcare engineering (2021)
Published in Journal of healthcare engineering (2021)
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Journal Article
Analysis of delirium prediction in the ICU based on the hybrid SGDCS-ANFIS approach
Tian, Yuan, Liang, Yongquan, Chen, Yufeng, Bian, Hongyang
Published in Medical & biological engineering & computing (01.03.2023)
Published in Medical & biological engineering & computing (01.03.2023)
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Journal Article
Validation of Vetscan Imagyst®, a diagnostic test utilizing an artificial intelligence deep learning algorithm, for detecting strongyles and Parascaris spp. in equine fecal samples
Steuer, Ashley, Fritzler, Jason, Boggan, SaraBeth, Daniel, Ian, Cowles, Bobby, Penn, Cory, Goldstein, Richard, Lin, Dan
Published in Parasites & vectors (12.11.2024)
Published in Parasites & vectors (12.11.2024)
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Journal Article