Titlebook: International Conference on Advancements of Medicine and Health Care through Technology; 5th – 7th J; MEDITECH 2014 Simona Vlad,Radu V. Ciu

Nutrient

Towards Knowledge Extraction from Electronic Health Records - Automatic Negation Identification,s time consuming to store and retrieve information. The EHRs are free text format documents, where although a certain structure may exist, the information is usually spread across the entire document, with no standard specific structure. Our current work represents a step in providing an accessible

极力证明

tooth-decay

The Use of Digital Imaging in the Evaluation of Perception in Facial Asymmetry Caused by Facial Nerf manipulated digital images in facial paralysis diagnosis, to determine facial attractiveness, emotional perception and the level of knowledge among students of the Faculty of Dentistry. The results show that facial symmetry plays an important role in assessing facial attractiveness, and emotional

集合

Towards Assisting Medical Decisions by Using Rule Based Protocols and Semantic Resources,ased upon their medical history and current symptoms. The system employs free technologies which best match this purpose. The system relies on a set of CLIPS rules implementing the standard medical guidelines which the doctors follow in the process of diagnosing and prescribing drugs. Open Linked Da

Jingoism

Preliminary Experiments on Using Subjective Logic for Reasoning on Diagnosis,s to investigate some patterns in the medical reasoning and to see whether they can be modeled using this subset of Subjective Logic. This approach would allow dealing seamlessly with rules of reasoning whose uncertainty level adjusts once more evidence becomes available. Our system allows assessing

逃避责任

学术讨论会

GAVEL

和谐

Artificial Intelligence Applied in Diagnostic and Treatment of Dukes C Colorectal Cancer,a case analysis of Dukes C colorectal cancer patients who underwent radical surgery at the County Clinic Hospital, Cluj-Napoca, Romania. In order to predict the survival rate of colorectal cancer patients an artificial intelligence neural network has been implemented by the authors based on obtained

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