Machine Learning Application for Diagnosis of Respiratory Disease through Pulmonary Function Test Data

With the advancement of technology in computing, storage and networking, any high speed computation on the data available across various data centers is possible today. The amount of data generated by various enterprise applications and social networking is enormous and expected to grow tremendously in the coming years. Deriving useful and intelligent information out of this data is utmost important to enhance business value and increase human centricity. Machine Learning algorithms available as a subfield of Artificial Intelligence help derive the intelligence from plethora of data available across various application domains. Artificial intelligence and Machine learning are trending technologies in industry to enable business recommendations, predict future market etc.  The field of medicine is not an exception to support doctors diagnose the disease faster with high accuracy and provide personalized medication to the patrons. In this paper, an in-depth discussion is carried out on diagnosing respiratory diseases accurately using machine learning algorithms. The models built accurately using Machine Learning techniques outperform human experts.