What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Law
- Health care
His primary scientific interests are in Expert system, Mycin, Artificial intelligence, Knowledge management and MEDLINE.
Edward H. Shortliffe has researched Expert system in several fields, including Domain, Data mining, Human–computer interaction and Knowledge acquisition.
The Mycin study combines topics in areas such as Medical physics, Model-based reasoning and Rule-based system.
His biological study spans a wide range of topics, including Machine learning, Athletes and Cognition.
His studies in Knowledge management integrate themes in fields like Representation, Clinical decision support system, Decision support system and Curriculum.
His research integrates issues of Randomized controlled trial, Quality of life and Disease in his study of MEDLINE.
His most cited work include:
- Computer-based medical consultations, MYCIN (2102 citations)
- Rule-based expert systems : the MYCIN experiments of the Stanford Heuristic Programming Project (1668 citations)
- A model of inexact reasoning in medicine (1125 citations)
What are the main themes of his work throughout his whole career to date?
Edward H. Shortliffe spends much of his time researching Health informatics, Artificial intelligence, Expert system, Knowledge management and Health care.
His work carried out in the field of Health informatics brings together such families of science as Engineering ethics, Informatics and Medical education.
Edward H. Shortliffe studies Artificial intelligence, focusing on Mycin in particular.
He interconnects Human–computer interaction, Management science, Knowledge base and Knowledge acquisition in the investigation of issues within Expert system.
In Knowledge management, Edward H. Shortliffe works on issues like Knowledge representation and reasoning, which are connected to Software engineering.
His Health Administration Informatics research incorporates themes from Public health informatics and Engineering informatics.
He most often published in these fields:
- Health informatics (28.30%)
- Artificial intelligence (20.90%)
- Expert system (16.08%)
What were the highlights of his more recent work (between 2010-2020)?
- Health informatics (28.30%)
- Clinical decision support system (6.75%)
- Informatics (9.65%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Health informatics, Clinical decision support system, Informatics, Health care and Library science.
His research in Health informatics intersects with topics in Health information technology, Engineering ethics and Medical education.
His Clinical decision support system research integrates issues from Internal medicine, Oncology, Knowledge management and Medical emergency.
His Informatics research is multidisciplinary, incorporating elements of Operations research, Information system, Workforce development and Value.
His study explores the link between Information system and topics such as Domain knowledge that cross with problems in Data science.
While the research belongs to areas of Watson, Edward H. Shortliffe spends his time largely on the problem of Multidisciplinary approach, intersecting his research to questions surrounding Artificial intelligence.
Between 2010 and 2020, his most popular works were:
- Clinical Decision Support in the Era of Artificial Intelligence. (135 citations)
- Clinical Decision Support in the Era of Artificial Intelligence. (135 citations)
- AMIA Board white paper: definition of biomedical informatics and specification of core competencies for graduate education in the discipline (135 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Law
- Health care
His primary areas of investigation include Health informatics, Knowledge management, Clinical decision support system, MEDLINE and Decision support system.
His Health informatics study combines topics from a wide range of disciplines, such as Curriculum, Health information technology and Data science.
In his study, Health care is inextricably linked to Information system, which falls within the broad field of Data science.
Many of his studies on Knowledge management involve topics that are commonly interrelated, such as Field.
His Decision support system research includes themes of Intelligent decision support system, Information flow and Workflow.
His study in Health Administration Informatics is interdisciplinary in nature, drawing from both Engineering ethics and Informatics.
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