Introduction to Smart Health Care in the Context of Big Data and AI

EasyChair Preprint no. 4031

Abstract

Smart healthcare embeds unending amount of data which continuously grows at an alarming rate. The nature of such a data is not only huge but also complex . Big Data provides a wide spectrum of solutions to such datasets. Varied problems such as healthcare cost, patient safety, overtreatment and failure to adopt best practices for healthcare in resource-poor countries are addressed. As the population is dense and ever increasing, its need for health care is bound to grow. Health care providers are slowly declining in number and healthcare leaders looking towards advanced softwares. AI applications have given us excellent solutions in the fields of healthcare and management. Big data systems along with artificial intelligence technology will increase the ability of doctors to analyze critical cases and make fast and accurate diagnoses and treatments. Despite many hurdles, AI still holds tremendous power to transform healthcare services in resource-poor settings into a complete smart health care system . A case study about how handicapped women are neglected by the society and what problems they face in the real world . The main aim behind this case study is to introduce prediction models for Patients like handicapped women with Non Suicidal Self Harm (NSSH) and treating the patient with good diagnostic models using Machine learning algorithms and AI systems in India.

Keyphrases: Artificial Intelligence, Big Data, Big Data Analytics, Smart Healthcare Systems

@Booklet{EasyChair:4031,
  author = {Koyya Sreelatha and Telugu Maddileti},
  title = {Introduction to Smart Health Care in the Context of Big Data and AI},
  howpublished = {EasyChair Preprint no. 4031},

  year = {EasyChair, 2020}}