Healthy Futurism

  Photo by National Cancer Institute on Unsplash Machine Learning is making sweeping improvements to many industries, healthcare being one of them.  The impact ML can have on a sector or industry is as unique as the industry itself. Pharmacology is able to refine products by miniscule amounts to ensure quality and safety. The layer of coating that covers pill tablets is being reevaluated for accuracy by ML's capacity to find novel patterns in vast amounts of data. Resource management in hospitals is able to track inventory in real-time, giving physicians updates on what supplies are available. This is also helping in streamline the patient intake process. Radiologists are using AI to help identify chronic pulmonary hypertension faster using ML to find new pattern indicators. Personalized medicine, or precision medicine, is using ML to create treatment plans specific to a patient with increasing accuracy using predictive analysis.  So where does this leave business manager...

There are Wide variety of Companies that have implemented Machine learning to improve health sector and increase efficiency to Fasten our end-time processing and improve Online Analytics Processing (OLAP).  Let us begin by analyzing Big three companies, namely Google, IBM and a new startup from CloudMedX health.  1. Google - DeepMind. Google has been working on its application Google health which provides users a daily detailed description of how they have been working out, what their achieved goal is. Now Google has created a new subdivision within Google health to Implement DeepMind. DeepMind Logo Via Google DeepMind's System Integration allows DeepMind to access Google's Vast Database to ease the method of Data Mining patients health record.  The purpose of Deepminds Implementation is to eliminate the cost of extraction for Patients health record and be as efficient in helping Health professionals diagnose the individual condition faster and effectively.  2. IBM's...