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Biomedical subjects

Michael Cantor

Publications and source records attributed to Michael Cantor.

4 recordsLinked to original sources

Malnutrition is prevalent in hospitalized medical patients: are housestaff identifying the malnourished patient?

OBJECTIVE: Malnutrition is highly prevalent in hospitalized patients and is often not identified by the medical staff. Clinical nutrition and nutritional assessment are often neglected components of the curriculum of medical schools. The effect of instruction of nutritional assessment early in medical school on nutritional practice in clinical training is unknown. Four years after the introduction of nutritional assessment in the medical school curriculum, we assessed the knowledge of medical students and residents of nutritional assessment and the practice of this clinical skill in hospitalized medical patients. METHODS: We determined the nutritional status of 69 patients on a general medical ward within 10 d of their hospital admission. Hospital records were reviewed to determine the documentation of nutrition-related issues and practices. A questionnaire was then administered to the housestaff to determine their knowledge of assessment of nutritional status. RESULTS: Significant malnutrition was found in 69% of patients. Only one patient was identified as being malnourished by the housestaff. References to nutritional status were recorded in two patient charts. History of weight loss, appetite status, current oral intake, and functional status were recorded for fewer than 33% of patients. Although measurements of visceral protein stores (albumin and prealbumin) did not correlate with nutritional status, medical students and residents considered these to be the best markers of nutritional status. CONCLUSIONS: Malnutrition is common in hospitalized patients. Instruction of second-year medical students in assessment of nutritional status does not result in improved knowledge or practice of nutritional assessment in the clinical training years as medical housestaff. Additional instruction in nutritional assessment during clinical training needs to be emphasized. Hospitals need to develop standardized protocols for assessment of nutritional status.

Adult↗

Automating terminological networks to link heterogeneous biomedical databases.

As cross-disciplinary research escalates, researchers are facing the challenge of linking disparate biomedical databases that have been developed without common indexes. Manually indexing these large-scale databases is laborious and often impractical. Solutions involving mediating terminologies have been proposed, but coordination of terms from the databases of interest to these mediating terminologies is also laborious, and regular synchronization between indexes is an additional problem. In this study we describe a novel method of linking heterogeneous databases using terminology networks constructed with automated mapping methods. Linkage was established between two disparate biomedical databases (SNOMED-CT and HDG), using two relevant intermediating databases (UMLS and OMIM). One gold standard of 514 distinct matches is used as proof-of-principle. In conclusion, as hypothesized, 1) Manually curated pathways provide high precision, but offer low recall, 2) the automated terminology pathways can significantly increase recall at acceptable precision. Taken together, our conclusion may suggest the combined manual and automated terminology networks could offer recall and precision in an incremental manner

Abstracting and Indexing↗

GESDOR - a generic execution model for sharing of computer-interpretable clinical practice guidelines.

We developed the Guideline Execution by Semantic Decomposition of Representation (GESDOR) model to share guidelines encoded in different formats at the execution level. For this purpose, we extracted a set of generalized guideline execution tasks from the existing guideline representation models. We then created the mappings between specific guideline representation models and the set of the common guideline execution tasks. Finally, we developed a generic task-scheduling model to harmonize the existing approaches to guideline task scheduling. The evaluation has shown that the GESDOR model can be used for the effective execution of guidelines encoded in different formats, and thus realizes guideline sharing at the execution level.

Decision Making, Computer-Assisted↗

An integrative model for in-silico clinical-genomics discovery science.

Human Genome discovery research has set the pace for Post-Genomic Discovery Research. While post-genomic fields focused at the molecular level are intensively pursued, little effort is being deployed in the later stages of molecular medicine discovery research, such as clinical-genomics. The objective of this study is to demonstrate the relevance and significance of integrating mainstream clinical informatics decision support systems to current bioinformatics genomic discovery science. This paper is a feasibility study of an original model enabling novel "in-silico" clinical-genomic discovery science and that demonstrates its feasibility. This model is designed to mediate queries among clinical and genomic knowledge bases with relevant bioinformatic analytic tools (e.g. gene clustering). Briefly, trait-disease-gene relationships were successfully illustrated using QMR, OMIM, SNOMED-RT, GeneCluster and TreeView. The analyses were visualized as two-dimensional dendrograms of clinical observations clustered around genes. To our knowledge, this is the first study using knowledge bases of clinical decision support systems for genomic discovery. Although this study is a proof of principle, it provides a framework for the development of clinical decision-support-system driven, high-throughput clinical-genomic technologies which could potentially unveil significant high-level functions of genes.

Artificial Intelligence↗