Healthcare is one of the leading fields which benefit the most of the technological advance. And that will be the rule for the years to come, as people tend to use their best knowledge to safeguard the health.
Healthcare and machine learning have been working hand in hand for almost half of century now, beginning with antibiotic dosages. Studies show that the machine learning contribution in pharma and health industries in the United States would generate a value of up to $100 billion annually.
Indeed, machine learning is gaining ground very fast, and when it comes to open source, Python is the first choice for many. That is not just for machine learning processes, but also for data science projects.
After it was second in the list of the top programming languages in 2014, Python is currently considered number 1. It is one of the most used languages by many developers, data scientists or web programmers.
One of its advantages is that is easy to understand for beginners. Also, in terms of web hosting, Python hosting supports multiple operating systems. One of the advantages of hosting Python is that the webmasters can use prewritten codes to enhance their web services. And if you ask yourself How Technical Should I be for a Python Hosting?, the answer is that Python has easy-to-write and complex codes. Still, it is important to have technical expertise in using this programming language.
So, it is no wonder it is more and more considered for the healthcare industry. There are advanced usages for machine learning in Python when it comes to healthcare. Following are some of the most important:
Diagnostics
There are still patients dying because of diagnostic errors, which are a source for hospital complications also. In this regard, machine learning can improve very much the percentage of the correct diagnosis out of the diagnostic errors.
When machine learning and specialists are working closely, the accuracy rate of the diagnose may be over 99%. One of the medical fields where technology can improve detection is oncology, where we find some of the most challenging diseases. The reason is that machine learning can improve the human capacity to analyze and recognize medical images.
Patient care and hospitals management
After diagnosis, the next step in the medical act is the patient care, both inside or outside the hospitals. On one hand, that means to improve managing activities like treatment or diagnostic facilities. On the other hand, technology could help for an optimization in patient observation – in terms of caring after surgeries or following the treatment.
The inventory management and the improved triage for emergency departments are achievable goals with the help of machine learning. This would hugely benefit the healthcare economy worldwide, in terms of hundreds of billions of dollars.
Disease prognosis
One other essential component of the medical act is the prognosis of the diseases. Predicting the way a disease will evolve regarding a patient will improve the treatment he can receive.
With the help of technology, such accurate prognosis may be done faster and cheaper than in present days. Python is used to analyze current diagnosis and the medical procedures and prescriptions. Machine learning can, in this way, improve predictions in cases of patients with terminal illness.
