AIMC Topic: Israel

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Reducing drug prescription errors and adverse drug events by application of a probabilistic, machine-learning based clinical decision support system in an inpatient setting.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND: Drug prescription errors are made, worldwide, on a daily basis, resulting in a high burden of morbidity and mortality. Existing rule-based systems for prevention of such errors are unsuccessful and associated with substantial burden of fa...

Identifying Diabetes in Clinical Notes in Hebrew: A Novel Text Classification Approach Based on Word Embedding.

Studies in health technology and informatics
NimbleMiner is a word embedding-based, language-agnostic natural language processing system for clinical text classification. Previously, NimbleMiner was applied in English and this study applied NimbleMiner on a large sample of inpatient clinical no...

[COLONSCORE: THE USE OF MACHINE LEARNING OF BIG DATA TO DETECT COLORECTAL CANCER].

Harefuah
The use of big data is in its first years of entering the medical world. Big data research enables analysis of very large volumes of data, identifying patterns and findings which traditional statistical methods cannot handle. The diagnosis of colorec...

[SERUM THYROGLOBULIN LEVELS AND ESTIMATED IODINE INTAKE IN ADULTS EXPOSED TO IODINE‑DILUTED DESALINATED DRINKING WATER].

Harefuah
AIMS: The aim of this study was to describe thyroglobulin levels and iodine intake estimations in a convenience sample of Israeli adults without TD in the Ashkelon District, where SWRO desalination has become the major source of drinking water.