Because of the increasing complexity and volume of data in Medical Diagnosis Applications, the field of Machine Learning (ML) is becoming more popular. Several types of Machine Learning (ML) are already in use by payers, healthcare providers, and businesses. Key areas of application include specific diagnostic and therapeutic recommendations, patient commitment and compliance, and administrative activities. Although Machine Learning (ML) can provide equal or better health care than humans, implementing factors will delay the automation of healthcare professional jobs for a significant period of time. Ethical concerns are also raised in the context of the application of Machine Learning (ML) to Medical Diagnosis.
Keywords: Machine Learning, Medical Diagnosis.
Software And Hardware
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL