The Healing Pulse: Unveiling the Nexus of Machine Learning and Artificial Intelligence in Redefining Healthcare Epidemiology

EasyChair Preprint no. 12683

Abstract

This study investigates the revolutionary role of machine learning (ML) and artificial intelligence (AI) in healthcare epidemiology, focusing on disease monitoring, outbreak forecasting, and patient care management. Machine learning and artificial intelligence (AI) technology automate operations, assess various data sources, and optimize resource allocation. The study looks at how machine learning may help anticipate clinical deterioration, establish triage systems, and detect illnesses like septic shock and pneumonia early on. AI-powered decision support systems for antimicrobial stewardship and infection prevention are discussed, along with issues such as algorithmic bias and interoperability. The combination of AI and ML has enormous potential to transform patient outcomes and administrative operations in healthcare epidemiology.

Keyphrases: AI, disease monitoring, Healthcare epidemiology, ML, Outbreak Prediction, patient care, personalized treatment, Predictive Analytics

@Booklet{EasyChair:12683,
  author = {Prajwal Bandre and Subodh Daronde and Trishul Dhale},
  title = {The Healing Pulse: Unveiling the Nexus of Machine Learning and Artificial Intelligence in Redefining Healthcare Epidemiology},
  howpublished = {EasyChair Preprint no. 12683},

  year = {EasyChair, 2024}}