Artificial Intelligence: A Breakthrough for Neuroscience

Healthcare is yet to be transformed by Technology, this saying by Joshua Kushner holds so true for what we are witnessing today. After the intervention of Artificial Intelligence we can identify, scrutinize, decipher and in some cases even predict Neurodegenerative Disorders before they become terminal. Neurodegenerative disorders, are almost incurable state resulting in deterioration and eventually death of the nerve cells. Parkinsons, Alzheimers and Huntingtons disease are major Neurodegenerative disorders affecting around one billion people in the world. These neurodegenerative disorders can bring about problems ranging from extrapyramidal symptoms, sleeplessness, depression, constipation etc. They may also result in weariness, twinge, olfactory dysfunction, blood pressure fluctuations etc. This paper aims to provide a solution by using machine learning and reinforcement learning techniques. By collecting relevant data over the course of a few weeks, a model could be built to identify and predict the category, intensity and frequency by utilizing the power of Two-Class Boosted Decision Tree and Fast Forest Quantile Regression. These Machine Learning algorithms shall be used for an initial learning phase, fed by data taken from volunteer subjects through portable hand-held electronic devices that will be responsible for monitoring and sending research related data by extracting brain waves and sending them to a central Data Warehouse for further processing. After the initial training, the paper is hoping to provide way for improvement through reinforcement learning. A system loaded with previous models shall improve itself by learning from the interaction (new data) with its surroundings, increasing the accuracy of our predictions. By identifying precursor signs of such a disorder, a doctor might be able to devise a solution that may prevent it from happening in the first place. Neuroscience has already been facilitated by Artificial Intelligence but here we are trying to move an inch forward with discussing the concept of working method of prospective undersized, portable tech gadgets to assist research and treatment.