Titlebook: Artificial Intelligence in Health; First International Fernando Koch,Andrew Koster,Nirmalie Wiratunga Conference proceedings 2019 Springer

根深蒂固

书目名称Artificial Intelligence in Health影响因子(影响力)




书目名称Artificial Intelligence in Health影响因子(影响力)学科排名




书目名称Artificial Intelligence in Health网络公开度




书目名称Artificial Intelligence in Health网络公开度学科排名




书目名称Artificial Intelligence in Health被引频次




书目名称Artificial Intelligence in Health被引频次学科排名




书目名称Artificial Intelligence in Health年度引用




书目名称Artificial Intelligence in Health年度引用学科排名




书目名称Artificial Intelligence in Health读者反馈




书目名称Artificial Intelligence in Health读者反馈学科排名

deface

First Descriptions of Initial Management, MeSHx-Notes is easily extendable by replacing the MeSH thesaurus with the target language (plus the generation of the corresponding WE for the new language). Our version deals with Portuguese and English.

Pepsin

Fibrinogen

Therapeutic Aspects of Fanconi Anemiaem assisting operators in the interpretation of best medical coding practices and a short evaluation are presented. By leveraging the arguments used by the coding experts to determine the best coding option, the proposed system answers coding questions from operators and provides a partial explanation for the proposed solution.

遗忘

MeSHx-Notes: Web-System for Clinical Notes MeSHx-Notes is easily extendable by replacing the MeSH thesaurus with the target language (plus the generation of the corresponding WE for the new language). Our version deals with Portuguese and English.

Paradox

The Role of Usability Engineering in the Development of an Intelligent Decision Support Systemns that adapt to the individual. We describe the role of human factors and user-centred design in the creation of medical systems that must adhere to international standards. We focus specifically on the formative evaluation stage of this process. The preliminary analysis of data shows promising results.

Iniquitous

欢笑

https://doi.org/10.1007/978-3-031-14039-6ssion such as myocardial infarction and echocardiography. We suggest that vector representations of patients with deep learning should precede predictive modeling of complex patients. The approach also has potential implications for supporting care delivery, care design and clinical decision-making.

orthopedist

faddish