Heart disease dataset free download

It includes emergency room stays, in-patient stays, and ambulance stats. OASIS : Open Access Series of Imaging makes neuroimages of the brain freely, hoping to foster research and new advances in both basic health and clinical neuroscience.

It includes 95 datasets from subjects with new material being added as researchers make their own data open to the public. It contains labeled images with age, modality, and contrast tags.

Again, high-quality images associated with training data may help speed breakthroughs. Deep Lesion : One of the largest image sets currently available.

CT images released from the NIH to help with better accuracy of lesion documentation and diagnosis. It includes over 32, lesions from unique patients. Kaggle : As always, an excellent resource for finding datasets pertaining not only to healthcare but other areas. If your healthcare explorations expand to a different subject or need other datasets for training, this is always a great resource.

Subreddit : It may take some doing, but you can find some serious gems within the subreddit discussions on open datasets. The world is living longer and needs new answers more than ever. Issues in Stacked Generalization. JAIR, Representing the behaviour of supervised classification learning algorithms by Bayesian networks.

Pattern Recognition Letters, Yoav Freund and Lorne Mason. Institute of Information Science. Rudy Setiono and Huan Liu. NeuroLinear: From neural networks to oblique decision rules. Neurocomputing, Department of Computer Science University of Massachusetts. Intell, 7. Jan C. Bioch and D. Meer and Rob Potharst. Bivariate Decision Trees.

Randall Wilson and Roel Martinez. In Fisher. Pedro Domingos. Rev, Pattern Anal. Kamal Ali and Michael J. Error Reduction through Learning Multiple Descriptions. Ron Kohavi. The Power of Decision Tables. Ron Kohavi and Dan Sommerfield. Peter D. Gabor Melli. University of British Columbia. Ayhan Demiriz and Kristin P.

Bennett and John Shawe and I. Linear Programming Boosting via Column Generation. Systems, Rensselaer Polytechnic Institute. Liping Wei and Russ B.

Federico Divina and Elena Marchiori. Department of Computer Science Vrije Universiteit. Ron Kohavi and George H. Computer Science Dept. Stanford University. Alexander K. A hybrid method for extraction of logical rules from data. Search and global minimization in similarity-based methods.

Generating rules from trained network using fast pruning. School of Computing National University of Singapore. This is a classification problem, with input features as a variety of parameters, and the target variable as a binary variable, predicting whether heart disease is present or not.

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