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Updated: Jun 5, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

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使用机器学习技术预测卢旺达的不良妊娠结果

Theogene Kubahoniyesu1,2, Ignace Habimana Kabano1

  • 1African Centre of Excellence in Data Science, University of Rwanda, Kigali, Rwanda.

PloS one
|December 5, 2024
PubMed
概括

机器学习准确地预测了卢旺达的不良妊娠结果,识别了高风险因素,如母亲的晚年和多重结合. 这使得能够及时进行干预,以改善母亲和新生儿健康.

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

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相关概念视频

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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