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A number of online neuroscience databases are available which provide information regarding gene expression, neurons, macroscopic brain structure, and neurological or psychiatric disorders. Some databases contain descriptive and numerical data, some to brain function, others offer access to 'raw' imaging data, such as postmortem brain sections ...
Lung Cancer Dataset Lung cancer dataset without attribute definitions 56 features are given for each case 32 Text Classification 1992 [270] [271] Z. Hong et al. Arrhythmia Dataset Data for a group of patients, of which some have cardiac arrhythmia. 276 features for each instance. 452 Text Classification 1998 [272] [273] H. Altay et al.
1.5.5 Papillary glioneuronal tumor 1.5.6 Rosette-forming glioneuronal tumor 1.5.7 Myxoid glioneuronal tumor 1.5.8 Diffuse leptomeningeal glioneuronal tumor 1.5.9 Gangliocytoma 1.5.10 Multinodular and vacuolating neuronal tumor 1.5.11 Dysplastic cerebellar gangliocytoma (Lhermitte-Duclos disease) 1.5.12 Central neurocytoma 1.5.13 ...
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
This is an accepted version of this page This is the latest accepted revision, reviewed on 3 January 2025. Neoplasm in the brain Medical condition Brain tumor Other names Intracranial neoplasm, brain tumour, brain cancer Brain metastasis in the right cerebral hemisphere from lung cancer, shown on magnetic resonance imaging Specialty Neurosurgery, neuro-oncology Symptoms Vary depending on the ...
A central nervous system tumor (CNS tumor) is an abnormal growth of cells from the tissues of the brain or spinal cord. [1] CNS tumor is a generic term encompassing over 120 distinct tumor types. [ 2 ]
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Primary central nervous system lymphoma (PCNSL), also termed primary diffuse large B-cell lymphoma of the central nervous system (DLBCL-CNS), [2] is a primary intracranial tumor appearing mostly in patients with severe immunodeficiency (typically patients with AIDS). It is a subtype and one of the most aggressive of the diffuse large B-cell ...