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W. A. Nowlan

dblp:39/5011 · DBLP profile ↗
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7ranked-venue papers
1as first author
0since 2021 · last 1997
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Human-computer interaction and ubiquitous computing · 2Applied, interdisciplinary, general and emerging computing · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%
Human-computer interaction and pervasive computing
1 paper
User interface design and tools · 100%
Interdisciplinary, comprehensive, and emerging computing
2 papers
Medical and health informatics · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › representation language
knowledge representation formalisms
0.011993
A Descriptive Semantic Formalism for Medicine · ICDE 1993
Medical and health informatics › clinical informatics
clinical information systems
0.021993
A Descriptive Semantic Formalism for Medicine · ICDE 1993
User centered development of a general practice medical workstation: the PEN&PAD experience · CHI 1992

Methods — techniques the papers use, named apart from their topics

user-centered design · 0.0participatory design · 0.0formative evaluation · 0.0
YearPublicationVenuePosition
1997 The GRAIL concept modelling language for medical terminology
Alan L. Rector, Sean Bechhofer, Carole A. Goble, Ian Horrocks 0001, W. A. Nowlan, W. D. Solomon
Artif. Intell. Medicine5
1995 Research Paper: Medical-Concept Models and Medical Records: An Approach Based on GALENand PEN&PAD
abstract
OBJECTIVES: To investigate the issues raised in applying a preliminary version of the GALEN compositional concept reference (CORE) model to a series of radiographic reports, and to demonstrate that the same underlying concept model could be used in conjunction with both a detailed, fine-grained model of medical records based on that used in the PEN&PAD project and with other more conventional medical-record models. DESIGN: Following analysis and representation of concepts from a set of reports, a single report was taken as a "case study." This report was analyzed in detail in its entirety and represented using each of the medical-record models. RESULTS: The reports were successfully represented within the limits of the study, but a number of significant issues were raised. CONCLUSION: The compositional approach plus the PEN&PAD medical-record model allowed detailed information in the radiographic report to be represented, including information about the inferences and the clinical process. The resulting representation was large, and more compact representations may be necessary for some systems. Alternative encapsulations of the information as might be used in such systems were successfully prepared. The compositional approach avoided many issues that often cause controversy in the design of traditional coding and classification systems, but it raised other issues, including the handling of ambiguity and underspecification, linkage to information not explicitly present in the report, and questions concerning the focus of individual concepts. All work is preliminary and definitive conclusions await further studies and systematic evaluation.
Alan L. Rector, Andrzej J. Glowinski, W. A. Nowlan, Angelo Rossi Mori
J. Am. Medical Informatics Assoc.3
1993 A Descriptive Semantic Formalism for Medicine
abstract
It is argued that current clinical information systems incorporate oversimplistic, prescriptive data models that are not faithful to clinicians' observations. A non-prescriptive descriptive semantic formalism, Structured Meta Knowledge (SMK), which unifies a terminological knowledge base with controlled assertional capabilities with the medical record and supports the semantic control necessitated by such an approach, is proposed. The three-layer model of categories, individuals, and occurrences described is more appropriate to medical applications than the two layers of classes and instances. The application of SMK in predictive data entry is considered.>
Carole A. Goble, Andrzej J. Glowinski, W. A. Nowlan, Alan L. Rector
ICDE3
1992 User centered development of a general practice medical workstation: the PEN&PAD experience
abstract
The goal of the PEN&PAD project is to design and develop a useful and usable medical workstation for day–to–day use in patient care. The project has adopted a user centred approach and direct observations of doctors, participative design and Formative Evaluation have therefore been an integral part of the process of software development. Indeed, doctors have been involved from the earliest stages of the project. The project has focussed on British General Practitioners, but the methods which have been evolved are general. This paper describes the strategy by which doctors can be involved in the successful design and development of a medical workstation.
Alan L. Rector, Bernard Horan, Mike Fitter, S. Kay, P. D. Newton, W. A. Nowlan, David J. Robinson
CHI6
1991 Medical Knowledge Representation and Predictive Data Entry
W. A. Nowlan, Alan L. Rector
AIME1
1990 Shedding Light on Patients' Problems: Integrating Knowledge Based Systems into Medical Practice
Alan L. Rector, Carole A. Goble, Bernard Horan, T. J. Howkins, S. Kay, W. A. Nowlan
ECAI6
1990 Supporting a humanly impossible task: The clinical human computer environment
Bernard Horan, Alan L. Rector, E. L. Sneath, Carole A. Goble, T. J. Howkins, S. Kay, W. A. Nowlan
INTERACT7