Wednesday, October 19, 2022

How Predictive Analytics can predict Diseases

 Predictive Analytics can predict disease
How Predictive Analytics can predict Diseases
How Predictive Analytics can predict Diseases

Technology is now moving towards changing the situation in the health sector. Using complex hearing aids such as artificial intelligence, automatic educating, and predictive analysis, thousands of people are being protected from disease.

How much better would it be if a technician told a patient a few years before his heart disease or before cataract spread that this person would continue to have it in the future? The patient will already be well and physicians will be able to start preventive treatment and make the necessary changes in lifestyle and diet. Then he may not be a victim of this disease and if it is, much later. Microsoft and Apollo Hospitals are working together to save thousands of patients from heart disease using sophisticated hearing aids such as artificial intelligence, automatic educating, and predictive analysis.

Health prediction effective technology

The role of technology in healthcare is not limited to instruments, diagnostics, examination and assistive innovation. He is in a position to go beyond reporting and analysis and make predictions. Analyzing a large amount of pre-existing medical data and patient personal data, technology can now predict the future and is largely accurate.

Thanks to the internet, cloud and computing, we have a lot of relevant information available today, which is now easily available to data collection treatment activities around the world, which used to be done alone and whose data was only accessible to others during research. Since then data collection systems have also evolved a lot. Data computerization has become easier due to the low cost of internet and computers.

Better analysis from experienced doctors

This technique has proven to be better than experienced doctors in detecting disease conditions and the risk of death of a patient due to heart disease. Information by the learner at University College London, the model studied the health data of 60,000 patients with coronary corridor illness, performing better than cardiologists and surgeons. Experts draw their conclusions based on two aspects such as age, gender, genetic factors, disease history, habits, chest pain, etc., and artificial intelligence-based models analyze about 600 subjects and provide results.

Scientists at the Institute of Cancer Research in London and the University of Edinburgh have developed a technique called revolvers that analyzes genetic variation with the help of artificial intelligence. It analyzes data from cancer patients and accurately states that their cancer is on the rise. This allows the physician to take precautionary measures and the patient's chances of survival are better.

Technology is predicting eye diseases

Microsoft started a consortium with the LV Prasad Eye Institute a few months ago called the Microsoft Intelligent Network for Icarus (Mine). Under this, the risk of cataracts or blindness in patients with eye diseases can be estimated in advance. Under the Mining Platform, as a band together with the power, tests are being carried out to find out which children may become blind in the future due to eye diseases in children. 

The technology is also being used in Karnataka to protect people living in remote areas from eye diseases under an ongoing project called Maitri with Shankar Eye Hospital. These technologies will transform the field of treatment because they are able to understand each person's problems in individual and unique ways and provide them with customized solutions.

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