Machine Learning models are generally shown to benefit the most when they are provided supervised data especially in the health care. This would mean pre-identification of patients needing critical health care based interaction with the Hospital system through mobile applications along with the intervention or endorsement of medical professionals on a case to case basis.

Thakur College of Engineering and Technology has been regularly collaborating with BhaktiVedanta Hospital & Research Institute through projects,internships to foster critical thinking and problem solving amongst students to explore various directions of learning and predictions as the need for critical health care , some of them being "Rule augmented Semi-supervised learning and subset" selection and "Self-supervised and unsupervised learning".

​

Currently 40 Students from Information Technology Department, Thakur College of Engineering and Technology are doing internship at BhaktiVedanta Hospital & Research Institute under the guidance of Mr. Ranganathan Balasubramanian who is  Head Of Information Services & Business Intelligence at Bhaktivedanta Hospital & Research Centre and are involved with various projects and applications. With COVID crisis bringing in new challenges these Applications were specifically thought of to deal with the crisis & changing situations in Health Care. 

​

The data from these system will be applied on Machine Learning and AI algorithms to have predictable outcomes in the following ways:

​

• Track the probability of Patients being serviced at Home

• Improvise the service given at Home by undersigned learning on data

• Track the sanitization factors at the Hospital

• Improvise the sanary quotient at the Hospital

• Enable daily reporting of service quality through performance indicators