IBM / Neural Information Processing Systems / IEEE INTELLIGENT SYSTEMS / Rule-Based Expert Systems / Pattern Detection Laboratory / Normative Expert Systems / /
Country
United States / /
Currency
USD / / /
Facility
Memorial SloanKettering Cancer Center / Carnegie Mellon University / Building Watson / Health Care Cost Institute / Heinz III College / Pittsburgh Medical Center / Carnegie Mellon University’s Heinz College / Cleveland Clinic / /
IndustryTerm
health insurance claims data / healthcare data / iterative algorithm / fi rst successful applications / decision support systems / early warning systems / healthcare domain / data mining / healthcare / real-time detection / health insurance claims / healthcare system / possible solution / health insurance providers / Online J. Public Health Informatics / healthcare costs / real-time monitoring / healthcare providers / /
cardiothoracic surgery / antibiotics / cardiac catheterization / surgery / /
Organization
US National Science Foundation / Carnegie Mellon University’s Heinz College / Memorial SloanKettering Cancer Center / University of Pittsburgh / vol. / Statistical Assoc. / Using Artificial Intelligence / Health Care Cost Institute / Carnegie Mellon University / Pittsburgh Medical Center / Stanford / /
Person
Daniel B. Neill / Nat / Ying Zhang / Jenna Wiens / David Heckerman / /
Position
Editor / physician / Professor and associate professor of information systems / Dean / author / Answering General / nurse / Semantic Research Assistant / /
Product
Watson system / Watson / /
PublishedMedium
IEEE INTELLIGENT SYSTEMS / Critical Care Medicine / /
TVShow
Jeopardy / /
Technology
expert system / Information Technology / diagnostic tests / machine learning / artificial intelligence / data mining / iterative algorithm / /
AI AND HEALTH Editor: Daniel B. Neill, H.J. Heinz III College, Carnegie Mellon University, [removed] Using Artificial Intelligence to Improve Hospital Inpatient Care