Search results
Results from the WOW.Com Content Network
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 ...
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.
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.
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 ...
The panel holds cell lines representing leukemia, melanoma, non-small-cell lung carcinoma, and cancers of the brain, ovary, breast, colon, kidney, and prostate. [1] [2]13 additional cell lines are evaluated for use in the screening program, among them two lines deriving from so far not represented small-cell lung carcinoma.
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]
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 ]
Dysembryoplastic neuroepithelial tumour (DNT, DNET) is a type of brain tumor.Most commonly found in the temporal lobe, DNTs have been classified as benign tumours. [1] These are glioneuronal tumours comprising both glial and neuron cells and often have ties to focal cortical dysplasia.