EinsWorld observes electrical stability of the heart muscle tissue, the rhythm of the heart and its changes. Many of those who appear to healthy, all of a sudden collapse and at the most unexpected time. This is a major issue in our place around the world. EinsWorld predicts the possibility of an adverse event happening.
EinsWorld analyses the complex data, literarily from cradle to coffin. Reasons for changes in heart beat are too many to handle by conventional algorithms. Each patient is unique and each person’s clinical situation is different. EinsWorld does descriptive and predictive analytics of heart beats and looks for data outliers (irregular rhythm), considering the parameters like the patient’s demographics, vitals, illness, medication provided etc. Observes the patterns and looks for life-threatening arrhythmias – extremely increasing rhythms, slowing of the heart's rhythms.
EinsWorld actively considers clear symptoms (feeling of pressure, tightness, pain, squeezing, or aching in the chest or arms that spreads to the neck, jaw, or back), warnings, uniqueness of each individual patient demographics, conditions, activities, medication, the intelligence has to be updated on a continuous basis. EinsWorld uses machine learning for continuous learnings and new findings and prediction accuracy is increasing day by day. To know more, get in touch with us. We will be happy to collaborate.