TCAI for Health care
Artificial Intelligence in the healthcare industry is growing robustly with huge scope for investing in new technologies.
Examples of how AI can be applied in Health Care
Pharmaceutical research
Get to market faster and with stronger data insights.
Smart Medical devices
Phone that monitors sleep, detects heart attacks and calls 911 with GPS coordinates.
Various Applications
Help train medical students, and provide real time diagnostic assistance.
How can the TCAI ML Algorithm help your health care organization?
TCAI would be capable of using supervised learning to predict, for example, heart attacks. By combining data on previous patients, including age, weight, height, and blood pressure and whether or not they have had heart attacks within, say a year, the TCAI Supervised Learning Algorithm can develop a model which may predict whether a patient will have a heart attack within a year.
Predict Trends Better.
A health care application of the TCAI unsupervised learning algorithm would be spotting patterns in large data sets to find anomalies or outliers, such as patients who are not responding to traditional treatment regiments.
Predictive Analytics & Actionable Insights
Predictive analytics and insights (early diagnosis and prediction to improve treatment).
