Big data plays an increasingly important role in today's practice of otolaryngology and in all of healthcare. In Big Data in Otolaryngology, Dr. Jennifer Villwock leads a team of expert authors who provide a comprehensive view of many key impacts of big data in otolaryngology-including understanding what big data is and what we can and cannot learn from it; best practices regarding analysis; translating findings to clinical care and associated cautions; ethical issues; and future directions. INDICE: 1. Introduction: Big Data - Science Fiction or Clinically Relevant?2. Large Administrative Datasets: Lessons and Limitations3. Biologic Big Data: Introduction to Genomics, Proteomics, and Metabolomics4. Sources of High-Dimensional Data - The Electronic Health Record, Health Systems, and Insurance and Payor Data5. Best Practices When Interpreting Big Data Studies: Considerations and Red Flags6. Current Big Data Approaches to Clinical Questions in Otolaryngology7. Translating Big Data to Patient Care8. Bias in Big Data: Historically Underrepresented Groups and Implications9. Artificial Intelligence in Otolaryngology 10. Clinical Applications of Artificial Intelligence: Clinical Decision Aids, Imaging Analysis, and Disease Prediction11. The Patient Perspective on Big Data and Its Use in Clinical Care
- ISBN: 978-0-443-10520-3
- Editorial: Elsevier
- Encuadernacion: Rústica
- Páginas: 250
- Fecha Publicación: 12/08/2024
- Nº Volúmenes: 1
- Idioma: Inglés