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

根深蒂固

書目名稱Artificial Intelligence in Health影響因子(影響力)




書目名稱Artificial Intelligence in Health影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence in Health網(wǎng)絡(luò)公開度




書目名稱Artificial Intelligence in Health網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence in Health被引頻次




書目名稱Artificial Intelligence in Health被引頻次學(xué)科排名




書目名稱Artificial Intelligence in Health年度引用




書目名稱Artificial Intelligence in Health年度引用學(xué)科排名




書目名稱Artificial Intelligence in Health讀者反饋




書目名稱Artificial Intelligence in Health讀者反饋學(xué)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.

遺忘

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

歡笑

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