Biomedical subjects

Syed Sibte Raza Abidi

Publications and source records attributed to Syed Sibte Raza Abidi.

12 recordsLinked to original sources

PubMed2006

Personalized cardiovascular risk management linking SCORE and behaviour change to Web-based education.

The PULSE (Personalization Using Linkages of SCORE and behaviour change readiness to web-based Education) project objectives are to generate and evaluate a web-based personalized educational intervention for the management of cardiovascular risk. The program is based on a patient profile generated by combining: (a) an electronic patient data capture template (DCT); (b) the Systematic COronary Risk Evaluation (SCORE) algorithm; and (c) a Stage of Change determination model. The DCT inherently contains a set of evidence-based parameters for patient description and disease evaluation. The patient's stage of behaviour change determines messages consistent with the individual's change processes, decisional balance, and self-efficacy. The interventions are designed to address both medical and psychosocial aspects of risk management and, as such, we combine staged lifestyle modification materials and non-staged messages based on Canadian clinical guidelines to motivate personal risk management. The personalization decision logic is represented in Medical Logic Modules implemented in Java. An intelligent interactive system generates the personally relevant materials and delivers the education to the patient via the Web. An evaluation study will be conducted to determine whether web-based personalized educational strategies exert favourable influence on patient's interest, knowledge, and perceived compliance to the suggested lifestyle modifications.

Adult↗

PubMed2006

Evaluation of a discussion forum for knowledge sharing among emergency practitioners: a social network approach.

Peer to peer knowledge sharing is recognized as a key contributor to the development of expert practice for health care professionals. Emergency departments with access to extensive expertise, such as in urban hospital settings, present greater potential for rich collaborative learning opportunities as compared with rural settings where expertise is at times scarce. Collaborative technologies such as electronic discussion boards may assist in leveling the "knowledge" playing field and increase opportunities for the growth of a strong social network for emergency clinicians. A social network perspective is used to explore the effectiveness of a discussion forum to support knowledge sharing among emergency practitioners in rural and urban emergency departments in Nova Scotia.

Cooperative Behavior↗

PubMed2005

A knowledge creation info-structure to acquire and crystallize the tacit knowledge of health-care experts.

Tacit knowledge of health-care experts is an important source of experiential know-how, yet due to various operational and technical reasons, such health-care knowledge is not entirely harnessed and put into professional practice. Emerging knowledge-management (KM) solutions suggest strategies to acquire the seemingly intractable and nonarticulated tacit knowledge of health-care experts. This paper presents a KM methodology, together with its computational implementation, to 1) acquire the tacit knowledge possessed by health-care experts; 2) represent the acquired tacit health-care knowledge in a computational formalism--i.e., clinical scenarios--that allows the reuse of stored knowledge to acquire tacit knowledge; and 3) crystallize the acquired tacit knowledge so that it is validated for health-care decision-support and medical education systems.

Artificial Intelligence↗

PubMed2005

HealthInfoCDA: Case Composition Using Electronic Health Record Data Sources.

HealthInfoCDA denotes a health informatics educational intervention for learning about the clinical process through use of the Clinical Document Architecture (CDA). We hypothesize those common standards for an electronic health record can provide content for a case base for learning how to make decisions. The medical record provides a shared context to coordinate delivery of healthcare and is a boundary object that satisfies the informational requirement of multiple communities of practice. This study transforms clinical narrative in three knowledge-rich modalities: case write-up, patient record and online desk reference to develop a case base of experiential clinical knowledge useful for medical and health informatics education. Our ultimate purpose is to aggregate concepts into knowledge elements for case-based teaching.

Biomedical Research↗

PubMed2005

Diagnostic support for glaucoma using retinal images: a hybrid image analysis and data mining approach.

The availability of modern imaging techniques such as Confocal Scanning Laser Tomography (CSLT) for capturing high-quality optic nerve images offer the potential for developing automatic and objective methods for diagnosing glaucoma. We present a hybrid approach that features the analysis of CSLT images using moment methods to derive abstract image defining features. The features are then used to train classifers for automatically distinguishing CSLT images of normal and glaucoma patient. As a first, in this paper, we present investigations in feature subset selction methods for reducing the relatively large input space produced by the moment methods. We use neural networks and support vector machines to determine a sub-set of moments that offer high classification accuracy. We demonstratee the efficacy of our methods to discriminate between healthy and glaucomatous optic disks based on shape information automatically derived from optic disk topography and reflectance images.

Data Mining↗

PubMed2005

Analyzing Sub-Classifications of Glaucoma via SOM Based Clustering of Optic Nerve Images.

We present a data mining framework to cluster optic nerve images obtained by Confocal Scanning Laser Tomography (CSLT) in normal subjects and patients with glaucoma. We use self-organizing maps and expectation maximization methods to partition the data into clusters that provide insights into potential sub-classification of glaucoma based on morphological features. We conclude that our approach provides a first step towards a better understanding of morphological features in optic nerve images obtained from glaucoma patients and healthy controls.

Algorithms↗

PubMed2005

A knowledge management framework to morph clinical cases with clinical practice guidelines.

In this paper we present a knowledge management framework that allows the automatic linking/mapping of contextually and functionally similar medical knowledge that may originate from different sources and be represented in diverse modalities. Our tacit-explicit knowledge morphing framework supports the extraction of tacit knowledge from past cases stored in a case-base and maps it to corresponding explicit knowledge stored in clinical practice guidelines. The novelty of our approach is inherent in the fact that it allows practitioners to simultaneously refer to explicit knowledge-i.e. clinical practice guidelines-and experiential knowledge-i.e. past clinical cases. Here we present the system design and intended functionality of our knowledge morphing framework.

Health Knowledge, Attitudes, Practice↗

PubMed2004

Knowledge management in pediatric pain: mapping on-line expert discussions to medical literature.

Clinical decision-making can be vastly improved with the availability of the right medical knowledge at the right time. This concept paper presents a knowledge management re-search program to (a) identify, capture and organize the tacit knowledge inherent within on-line problem-solving discussions between pediatric pain practitioners; (b) establish linkages between topic-specific pediatric pain discussions and corresponding published medical literature on children's pain available at PubMed--i.e. linking tacit expert knowledge to explicit medical literature; and (c) make these knowledge re-sources available to pediatric pain practitioners via the WWW for timely access to various modalities of clinical knowledge.

Artificial Intelligence↗

PubMed2003

An approach to enrich online medical Problem-Based Learning with tacit healthcare knowledge.

Existing Problem-Based Learning (PBL) problems, though suitable in their own right for teaching purposes, are limited in their potential to evolve by themselves and to create new knowledge. Presently, they are based on textbook examples of past cases and/or cases that have been transcribed by a clinician. In this paper, we present (a) a tacit healthcare knowledge representation formalism called Healthcare Scenarios, (b) the relevance of healthcare scenarios in PBL in healthcare and medicine, (c) a novel PBL-Scenario-based tacit knowledge explication strategy and (d) an online PBL Problem Composer and Presenter (PBL-Online) to facilitate the acquisition and utilisation of expert-quality tacit healthcare knowledge to enrich online PBL. We employ a confluence of healthcare knowledge management tools and Internet technologies to bring tacit healthcare knowledge-enriched PBL to a global and yet more accessible level.

Computer-Assisted Instruction↗

PubMed2002

Leveraging XML-based electronic medical records to extract experiential clinical knowledge. An automated approach to generate cases for medical case-based reasoning systems.

Case-based reasoning (CBR)-driven medical diagnostic systems demand a critical mass of up-to-date diagnostic-quality cases that depict the problem-solving methodology of medical experts. In practical terms, procurement of CBR-compliant cases is quite challenging, as this requires medical experts to map their experiential knowledge to an unfamiliar computational formalism. In this paper, we propose a novel medical knowledge acquisition approach that leverages routinely generated electronic medical records (EMRs) as an alternate source for CBR-compliant cases. We present a methodology to autonomously transform XML-based EMR to specialized CBR-compliant cases for CBR-driven medical diagnostic systems. Our multi-stage methodology features: (a) collection of heterogeneous EMR from Internet-accessible EMR repositories via intelligent agents, (b) automated transformation of both the structure and content of generic EMR to specialized CBR-compliant cases, and (c) inductive estimation of the weight of each case-defining attribute. The computational implementation of our methodology is presented as case acquisition and transcription info-structure (CATI).

Artificial Intelligence↗

PubMed2002

Leveraging intelligent agents for knowledge discovery from heterogeneous healthcare data repositories.

This paper presents a case for an intelligent agent based framework for knowledge discovery in a distributed healthcare environment comprising multiple heterogeneous healthcare data repositories. Data-mediated knowledge discovery, especially from multiple heterogeneous data resources, is a tedious process and imposes significant operational constraints on end-users. We demonstrate that autonomous, reactive and proactive intelligent agents provide an opportunity to generate end-user oriented, packaged, value-added decision-support/strategic planning services for healthcare professionals, manages and policy makers, without the need for a priori technical knowledge. Since effective healthcare is grounded in good communication, experience sharing, continuous learning and proactive actions, we use intelligent agents to implement an Agent based Data Mining Infostructure that provides a suite of healthcare-oriented decision-support/strategic planning services.

Efficiency, Organizational↗

PubMed2002

Intelligent healthcare information assistant: towards agent-based healthcare knowledge management.

Initiatives in healthcare knowledge management have provided some interesting solutions for the implementation of large-scale information repositories vis-à-vis the implementation of Healthcare Enterprise Memories (HEM). In this paper, we present an agent-based Intelligent Healthcare Information Assistant (IHIA) for dynamic information gathering, filtering and adaptation from a HEM comprising an amalgamation of (i) databases storing empirical knowledge, (ii) case-bases storing experiential knowledge, (iii) scenario-bases storing tacit knowledge and (iv) document-bases storing explicit knowledge. The featured work leverages intelligent agents and medical ontologies for autonomous HEM-wide navigation, approximate content matching, inter- and intra-repositories content correlation and information adaptation to meet the user's information request. We anticipate that the use of IHIA will empower healthcare stakeholders to actively communicate with an 'information/knowledge-rich' HEM and will be able to retrieve with ease 'useful' task-specific information via the presentation of cognitively intuitive queries.

Internet↗