13th Edition of International Conference on Neurology and Brain Disorders
October 19-21, 2026
Machine learning
Machine Learning is a branch of Artificial Intelligence that uses algorithms to construct models to automate decision-making processes. It involves analysis of data to identify patterns and behavior that are too complex for humans to detect. Machine Learning algorithms can be used to predict, classify, cluster, and optimize data. Machine Learning is based on the idea of learning from past experiences. This means that machines can observe patterns in data and learn from it. By presenting data to the model, the model is able to learn how to analyze the data and make decisions. This process works by recognizing patterns in the data and using these patterns to make predictions. The most common type of Machine Learning is supervised learning. In supervised learning, the data is labeled and the machine is trained to recognize the labels. This type of Machine Learning can be used for classification, regression, and time series modeling. Unsupervised learning does not require labeled data. This type of Machine Learning uses algorithms to group the data together based on similarities. Unsupervised learning is often used for clustering, feature engineering, and anomaly detection. Finally, Reinforcement Learning uses a feedback loop to teach a model how to behave and make decisions.
Joe Sam Robinson
Mercer University, United States
Robert B Slocum
University of Kentucky HealthCare, United States
George Diaz
Memorial Healthcare Systems, United StatesSubmit your abstract Today
Title : Managing healthcare transformation towards personalized, preventive, predictive, participative precision medicine ecosystems
Bernd Blobel, University of Regensburg, Germany
Title : Narrative medicine: A communication therapy for the communication disorder of Functional Seizures (FS) [also known as Psychogenic Non-Epileptic Seizures (PNES)]
Robert B Slocum, University of Kentucky HealthCare, United States
Title : Atypical presentation of Juvenile myoclonic epilepsy in a 16-year-old female: A Case Report
George Diaz, Memorial Healthcare Systems, United States
Title : Nanoparticles passing the blood brain barrier to treat cancer, infection, and more
Thomas J Webster, Brown University, United States
Title : Transcranial painless neurorehabilitation scalp acupuncture electrical stimulation for neuroregulation of autism spectrum disorder
Zhenhuan Liu, Guangzhou University Chinese Medicine, China
Title : Effects of prenatal androgen exposure on Purkinje cell morphology in the cerebellum of female rats
Kiran Ghotra, Lake Erie College of Osteopathic Medicine, United States