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相关概念视频

Radicals: Electronic Structure and Geometry01:07

Radicals: Electronic Structure and Geometry

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This lesson delves into the geometry of a radical, which is influenced by the electronic structure of the molecule. The principle is similar to that of a lone pair, where the unpaired electron influences the geometry at the radical center.
Accordingly, the structure of a trivalent radical lies between the geometries of carbocations and carbanions. An sp2-hybridized carbocation is trigonal planar, while an sp3-hybridized carbanion is trigonal pyramidal. Here, the difference in geometry is...
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Electron Orbital Model01:18

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Orbitals are the areas outside of the atomic nucleus where electrons are most likely to reside. They are characterized by different energy levels, shapes, and three-dimensional orientations. The location of electrons is described most generally by a shell or principal energy level, then by a subshell within each shell, and finally, by individual orbitals found within the subshells.
The first shell is closest to the nucleus, and it has only one subshell with a single spherical orbital called the...
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Predicting Molecular Geometry02:27

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VSEPR Theory for Determination of Electron Pair Geometries
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Electron Paramagnetic Resonance (EPR) Spectroscopy: Organic Radicals01:17

Electron Paramagnetic Resonance (EPR) Spectroscopy: Organic Radicals

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Ideally, an unpaired electron shows a single peak in the EPR spectrum due to the transition between the two spin energy states. However, coupling interactions can occur between the spins of the unpaired electron and any neighboring spin-active nuclei. This hyperfine coupling results in hyperfine splitting, where the EPR signal is split into multiplets. The signals split into 2nI + 1 peaks, where n is the number of equivalent nuclei and I is the nuclear spin. These splitting patterns provide...
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Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

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The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
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Wind Turbine Machine Models01:24

Wind Turbine Machine Models

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In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
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相关实验视频

Updated: Feb 3, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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开发一种机器学习模型,使用电子医疗记录预测激进胃切除术后术后并发症的发生.

Suyeon Lim1, Ja Yun Choi2

  • 1University of Michigan School of Nursing, Ann Arbor, MI.

Computers, informatics, nursing : CIN
|February 2, 2026
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概括

一个机器学习模型准确地预测胃癌手术后的术后并发症. 关键因素包括发烧,疼痛管理和患者年龄,帮助护士对高风险个体进行早期干预.

关键词:
临床信息学是一种临床信息学.胃癌 胃癌是指胃癌.护理决策支持护理决策支持术后风险评估 术后风险评估预测建模的预测建模.

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科学领域:

  • 在瘤学瘤学.
  • 医疗信息学 医疗信息学
  • 机器学习 机器学习

背景情况:

  • 胃癌手术,特别是急性胃切除术,存在术后并发症的风险.
  • 准确预测这些并发症对于及时干预和改善患者结果至关重要.

研究的目的:

  • 开发和验证一种机器学习模型,用于预测胃癌激进胃切除术后的术后并发症.
  • 使用电子医疗记录识别术后并发症的关键预测因素.

主要方法:

  • 分析了4892名接受激进胃切除术的患者的电子病历.
  • 开发和比较五种机器学习模型:物流回归,随机森林,极端梯度增强,CatBoost和多层感知.
  • 使用F1得分,精度和精度回忆曲线下的面积来评估模型性能.

主要成果:

  • 随机森林模型实现了最高的性能,F1得分为0.86,准确度为0.95,AUC为0.90.
  • 重要的预测因素包括晚期发烧 (术后4-7天),疼痛管理,手术时间,年龄和术后输血.
  • 该模型的开发结合了护理见解,增强了其临床相关性.

结论:

  • 开发的机器学习模型有效预测了激进胃切除术后的术后并发症.
  • 这种预测工具可以通过识别高风险患者进行个性化干预来支持护理决策.
  • 建议在前性和外部研究中进一步验证.