Results 251 to 260 of about 1,171,833 (351)

Unsupervised machine learning-based stratification and immune deconvolution of liver hepatocellular carcinoma. [PDF]

BMC Cancer
Reierson MM, Acharjee A.
europepmc   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source

Unsupervised Machine Learning Reveals Temporal Components of Gene Expression in HeLa Cells Following Release from Cell Cycle Arrest. [PDF]

Int J Mol Sci
Maimon T, Trink Y, Goldberger J, Kalisky T.   +3 more
europepmc   +1 more source

Decoding epilepsy's molecular blueprint: Machine learning unravels transcriptomic subtypes and regulatory networks

Epilepsia, EarlyView.
Abstract Objective Drug‐resistant epilepsy (DRE) affects approximately one‐third of patients with epilepsy. The molecular heterogeneity underlying DRE remains poorly defined, largely due to limited access to resected brain tissue and substantial genetic diversity.
Yanping Weng, Yu Ma, Wanwan Hou, Haibo Li, Yuanfeng Zhou, Rui Zhao, Hao Li, Lian Chen, Yangyang Ma, Li Jin, Yi Wang, Yu An   +11 more
wiley   +1 more source

Unsupervised machine learning for identifying morphological phenotypes in abdominal aortic aneurysms using fully automated volume-segmented imaging: a multicentre cohort study. [PDF]

Eur Heart J Digit Health
Kawka M, Caradu C, Scicluna R, Bicknell C, Bown MJ, Gohel M, Powell JT, Pouncey AL.   +7 more
europepmc   +1 more source

Cluster validation using the non-parametric bootstrap and parallel processing: applications in unsupervised machine learning of Shimodaira's method to text mining and genomics

, 2013
D.W. Bass
openalex   +1 more source

Predictive model for novel subtypes of patients undergoing lower extremity amputation for peripheral artery disease: An unsupervised machine learning study [PDF]

Yuan-Liang Ma, Lin Zhang, Que Li, Xiao Qin   +3 more
openalex   +1 more source

Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future

Epilepsia Open, EarlyView.
Abstract Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundamentally transforming the diagnosis, classification, and management of this condition. This review chronicles the historical journey of EEG from its groundbreaking inception to its current pivotal role in delineating distinct pediatric epilepsy ...
Hiroki Nariai
wiley   +1 more source

Sustainable visions: unsupervised machine learning insights on global development goals. [PDF]

PLoS One
García-Rodríguez A, Núñez M, Pérez MR, Govezensky T, Barrio RA, Gershenson C, Kaski KK, Tagüeña J.   +7 more
europepmc   +1 more source

Unsupervised machine learning of integrated health and social care data from the Macmillan Improving the Cancer Journey service in Glasgow

, 2018
Kean Lee Kang, Margaret Greer, James Bown, Janice Preston, Judith Mabelis, Leigh‐Anne Hepburn, Miriam Fisher, Ruth E. Falconer, Sandra McDermott, Stuart Deed   +9 more
openalex   +1 more source