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Integrating additional factors into the TNM staging for cutaneous melanoma by machine learning
Yang, Charles Q., Wang, Huan, Liu, Zhenqiu, Hueman, Matthew T., Bhaskaran, Aadya, Henson, Donald E., Sheng, Li, Chen, Dechang
Published in PloS one (30.09.2021)
Published in PloS one (30.09.2021)
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Journal Article
Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data
Shao, Wei, Luo, Xiao, Zhang, Zuoyi, Han, Zhi, Chandrasekaran, Vasu, Turzhitsky, Vladimir, Bali, Vishal, Roberts, Anna R., Metzger, Megan, Baker, Jarod, La Rosa, Carmen, Weaver, Jessica, Dexter, Paul, Huang, Kun
Published in BMC bioinformatics (19.04.2022)
Published in BMC bioinformatics (19.04.2022)
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Journal Article
Hybrid Label Noise Correction Algorithm For Medical Auxiliary Diagnosis
Xu, Jiwei, Yang, Yun, Yang, Po
Published in IEEE International Conference on Industrial Informatics (INDIN) (20.07.2020)
Published in IEEE International Conference on Industrial Informatics (INDIN) (20.07.2020)
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Conference Proceeding
ML-Assisted Bug Emulation Experiments for Post-Silicon Multi-Debug of AMS Circuits
Lei, Jun-Yang, Chatterjee, Abhijit
Published in Proceedings - International Test Conference (01.09.2022)
Published in Proceedings - International Test Conference (01.09.2022)
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Conference Proceeding
A novel kernel method for clustering
Camastra, F., Verri, A.
Published in IEEE transactions on pattern analysis and machine intelligence (01.05.2005)
Published in IEEE transactions on pattern analysis and machine intelligence (01.05.2005)
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Journal Article
Magnetic resonance imaging features to evaluate the neonatal hypoglycemia brain injury and investigation of related risk factors under the fuzzy C‐means clustering intelligent algorithm
Jin, Dongmei, Zhang, Zhongxu, Ma, Yanru, Dai, Zhushan, Zhao, Lili, Ma, Tongyao, Chen, Guoping
Published in Expert systems (01.07.2024)
Published in Expert systems (01.07.2024)
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Journal Article
Enhancing electrochemical detection through machine learning-driven prediction for canine mammary tumor biomarker with green silver nanoparticles
Enginler, Sinem Özlem, Küçükdeniz, Tarık, Dal, Gamze Evkuran, Yıldırım, Funda, Cilasun, Gökçe Erdemir, Alkan, Fulya Üstün, Gürgen, Hazal Öztürk, Taşaltın, Nevin, Sabuncu, Ahmet, Yılmaz, Merve, Karakuş, Selcan
Published in Analytical and bioanalytical chemistry (01.09.2024)
Published in Analytical and bioanalytical chemistry (01.09.2024)
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Journal Article
Diagnostic potential of multimodal neuroimaging in posttraumatic stress disorder
Im, Jooyeon Jamie, Kim, Binna, Hwang, Jaeuk, Kim, Jieun E., Kim, Jung Yoon, Rhie, Sandy Jeong, Namgung, Eun, Kang, Ilhyang, Moon, Sohyeon, Lyoo, In Kyoon, Park, Chang-hyun, Yoon, Sujung
Published in PloS one (30.05.2017)
Published in PloS one (30.05.2017)
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Journal Article
Machine learning-based in-silico analysis identifies signatures of lysyl oxidases for prognostic and therapeutic response prediction in cancer
Xu, Qingyu, Ma, Ling, Streuer, Alexander, Altrock, Eva, Schmitt, Nanni, Rapp, Felicitas, Klär, Alessa, Nowak, Verena, Obländer, Julia, Weimer, Nadine, Palme, Iris, Göl, Melda, Zhu, Hong-hu, Hofmann, Wolf-Karsten, Nowak, Daniel, Riabov, Vladimir
Published in Cell communication and signaling (05.04.2025)
Published in Cell communication and signaling (05.04.2025)
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Journal Article
Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance
Martini, Nicola, Aimo, Alberto, Barison, Andrea, Della Latta, Daniele, Vergaro, Giuseppe, Aquaro, Giovanni Donato, Ripoli, Andrea, Emdin, Michele, Chiappino, Dante
Published in Journal of cardiovascular magnetic resonance (07.12.2020)
Published in Journal of cardiovascular magnetic resonance (07.12.2020)
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Journal Article
Validation pipeline for machine learning algorithm assessment for multiple vendors
Bizzo, Bernardo C., Ebrahimian, Shadi, Walters, Mark E., Michalski, Mark H., Andriole, Katherine P., Dreyer, Keith J., Kalra, Mannudeep K., Alkasab, Tarik, Digumarthy, Subba R.
Published in PloS one (29.04.2022)
Published in PloS one (29.04.2022)
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Journal Article
Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept study
Ruinelli, Lorenzo, Cippà, Pietro, Sieber, Chantal, Di Serio, Clelia, Ferrari, Paolo, Bellasi, Antonio
Published in PloS one (01.07.2025)
Published in PloS one (01.07.2025)
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Journal Article