Machine Learning on Insurance Data to Predict Hospitalization

Dr. Don Vaughn, Neuroscientist, Data Scientist and Author of Elsevier publication from the United States participate in Risk Roundup to discuss – Machine Learning on Insurance Data to Predict Hospitalization. Machine Learning on Insurance Data to Predict Hospitalization Across nations, healthcare professionals are still struggling to determine when and how to take any possible preventive action, as the number of people that get diagnosed with communicable as well as non-communicable diseases, (requiring complex and costly treatments, hospitalization and re-hospitalization) is growing rapidly. So, how can we use existing and emerging technology to give healthcare professionals the necessary information and intelligence to effectively apply needed interventions in a timely manner? It seems emerging machine learning models could offer a much earlier prediction about which patients will develop which specific disease, and thereby create effective intervention methods to help prevent the onset of disease, hospitalization or re-hospitalization.The following topics were discussed in today’s Risk Roundup: Machine Learning on Insurance Data to Predict HospitalizationData Science / Data SourcesPrivacy and SecurityChallenges Though we are still at the beginning of the machine learning journey, there is a hope that the on-going machine learning research will open many new possibilities for advanced predictive analytics that will bring healthcare the much-needed power for proactive disease diagnosis, reducing hospital admissions and readmissions in the years to come. While this will not only improve the quality of human lives across nations but will also likely make healthcare cost-effective, timely and proactive, it will also create many security risks. Time is now to talk about security risks emerging from machine learning based on insurance data! For more please watch the Risk Roundup Webcast or hear Risk Roundup Podcast About the Guest Dr. Vaughn is an academic neuroscientist, futurist, international public speaker, and consultant. His foci include neuroscience, human behavior, machine learning, and artificial intelligence. Since graduating from Stanford, Dr. Vaughn’s research has been featured in TIME magazine, profiled by Cadillac, and received over a million views in his TEDx talk “neurohacking: rewiring your brain”. He has been an opinion leader for a wide range of news outlets from The Wall Street Journal to NBC News. Dr. Vaughn is an adjunct faculty at Santa Clara University where he teaches neuroscience and a postdoctoral fellow at UCLA where he leads a workshop on modern statistics. Don promotes engaging and accessible science. About Risk Group Risk Group is a leading strategic security risk research and advisory organization.Copyright Risk Group LLC. All Rights Reserved  Reference Episodes: Machine Learning Based Market ForecastingFuture of Work – Battle between Human Work Force and Machine Work ForceMachine Learning Bias – An Existential RiskUnderstanding Cognitive ComputingCloud Powered Artificial Intelligence PlatformBlockchain & Machine Learning Based Content PlatformPowering Collective Human IntelligenceCollective IntelligenceCollective Machine IntelligenceArtificial Intelligence based Healthcare SystemMachine Learning for Medical DiagnosisScience of Intelligence – Human Intelligence to Computational IntelligenceHow will a Deep Learning Disrupt Financial Sector?Social Media Based Predictive AnalyticsCredit Scoring using Machine LearningCancer Detection to Credit Lending – Intelligent Machine Applications of Artificial IntelligenceAdvances in Artificial Intelligence – Human and Non-Human Gesture and Action RecognitionFinancial Industry Moves Towards Artificial Intelligence Based MachinesMan-Machine Interaction – Communicating with ComputersMachine Intelligence Impact on Human SocietyThe Rise of Artificial IntelligenceArtificial Intelligence driven Cyber-SecurityAdvances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition The post Machine Learning on Insurance Data to Predict Hospitalization appeared first on Risk Group.