Motion
发表于 2025-3-21 19:58:36
书目名称Big Data Analytics影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0185588<br><br> <br><br>书目名称Big Data Analytics影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0185588<br><br> <br><br>书目名称Big Data Analytics网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0185588<br><br> <br><br>书目名称Big Data Analytics网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0185588<br><br> <br><br>书目名称Big Data Analytics被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0185588<br><br> <br><br>书目名称Big Data Analytics被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0185588<br><br> <br><br>书目名称Big Data Analytics年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0185588<br><br> <br><br>书目名称Big Data Analytics年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0185588<br><br> <br><br>书目名称Big Data Analytics读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0185588<br><br> <br><br>书目名称Big Data Analytics读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0185588<br><br> <br><br>
Foreknowledge
发表于 2025-3-22 00:09:04
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cipher
发表于 2025-3-22 02:59:44
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串通
发表于 2025-3-22 05:20:44
A Deep Learning Based Approach to Automate Clinical Coding of Electronic Health Recordsmer encoder model, and a BERT (Bidirectional Encoder Representations from Transformers) model for the automated clinical coding. The presented models are evaluated using a publicly available Medical Information Mart for Intensive Care III (MIMIC-III) dataset. The used dataset consists of various pat
Simulate
发表于 2025-3-22 09:54:16
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AFFIX
发表于 2025-3-22 14:23:25
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注视
发表于 2025-3-22 17:10:34
Drugomics: Knowledge Graph & AI to Construct Physicians’ Brain Digital Twin to Prevent Drug Side-Effhe right disease for the right person at the right time at any Point-of-Care. This functions like a physicians’ brain digital twin to reduce clinical errors, reduce medication errors, and increase general health equity at a reduced cost. This will eliminate the patient harm caused by drug interactio
外面
发表于 2025-3-22 23:07:41
Extremely Randomized Tree Based Sentiment Polarity Classification on Online Product Reviewshas better outcomes with the accuracy of 98% for positive and 85% for negative cases, with an overall accuracy of 96.8%. The error rate of all the three ensemble classifiers is also under 0.5% which uncovers that ensemble classifiers performs better compared to individual classifiers.
climax
发表于 2025-3-23 03:39:56
Discovering Top-k Periodic-Frequent Patterns in Very Large Temporal Databasesn input was presented to find all desired patterns in a database. Experimental results on synthetic and real-world databases demonstrate that our algorithm is memory and runtime efficient and highly scalable.
斜谷
发表于 2025-3-23 05:46:50
https://doi.org/10.1007/978-3-662-28581-7e is to highlight our responsibility to create algorithms and automated systems that do not harm and are equitable and just. I also hope to create awareness that leads to businesses and software laboratories that focus on testing software and data that alleviates our fear - modeling the work of the