prognostics
简明释义
英[prɒɡˈnɒstɪks]美[prɑɡˈnɑstɪks]
n. 预测；预兆（prognostic 的复数）
英英释义
单词用法
医学预后 | |
预测与健康管理 | |
预测性预后 | |
预后模型 |
同义词
| 预测 | 天气预报预测明天会下雨。 | ||
| 预言 | 医生对病人的康复提供了预后判断。 | ||
| 预后 | 专家们正在对经济的未来做出预测。 | ||
| 展望 | 该公司的增长展望是积极的。 | ||
| 预期 | There is a growing anticipation of technological advancements. | 人们对技术进步的预期日益增强。 |
反义词
| 回顾的 | The report provided a retrospective view of the project's failures. | 这份报告提供了对项目失败的回顾性视角。 | |
| 事后诸葛亮 | 事后看来，我应该做出不同的选择。 |
例句
1.The reliability Research Lab at the University of Alberta has been developing models and techniques for reliability modeling, reliability analysis, diagnostics, and prognostics over the past 20 years.
过去的20年，艾伯塔大学可靠性研究实验室一直在为可靠性建模、可靠性分析、诊断和预测开发模型和技术。
2.Critical technologies for aero engine prognostics and health management systems development were summarized.
总结归纳了航空发动机预测健康管理系统设计的关键技术。
3.Calculation using practical seismic events shows the topologic prognostic model can yield fairly high accuracy which might be applied into the prognostics of future seismic risks in the said areas.
通过实例计算证明，其拓扑预测模型精度较高，可以预测该区未来强震的危险性。
4.The prognostics of surface scrape on wheels is important for train safety.
车轮踏面擦伤的预示诊断对列车安全运行具有重要意义。
5.The reliability Research Lab at the University of Alberta has been developing models and techniques for reliability modeling, reliability analysis, diagnostics, and prognostics over the past 20 years.
过去的20年，艾伯塔大学可靠性研究实验室一直在为可靠性建模、可靠性分析、诊断和预测开发模型和技术。
6.I feel within me the manifest prognostics of indigestion.
我感觉到我肚子里有明显的消化不良症候。
7.Jane was therefore obliged to go on horseback, and her mother attended her to the door with many cheerful prognostics of a bad day.
于是吉英只得骑着另外一匹马去，母亲送她到门口，高高兴兴地说了许多预祝天气会变坏的话。
8.Using prognostics 预后学, the analysts were able to project market trends for the next quarter.
利用预后学，分析师能够预测下个季度的市场趋势。
9.The doctor used advanced prognostics 预后学 to predict the patient's recovery time.
医生使用先进的预后学来预测病人的恢复时间。
10.The meteorologist relied on prognostics 预后学 to forecast the severe weather conditions ahead.
气象学家依靠预后学来预测即将到来的恶劣天气条件。
11.The team developed a software tool for prognostics 预后学 to enhance predictive maintenance strategies.
团队开发了一种软件工具用于预后学，以增强预测性维护策略。
12.In engineering, prognostics 预后学 helps in predicting equipment failures before they occur.
在工程领域，预后学有助于在设备故障发生之前进行预测。
作文
In the modern world, where technology and science are advancing at an unprecedented rate, the importance of accurate predictions cannot be overstated. One area that has gained significant attention is the field of healthcare, where the application of prognostics (预后学) plays a crucial role in patient management and treatment planning. Prognostics involves the assessment of the likely course of a disease and the potential outcomes for patients. This process is essential for doctors to make informed decisions about the best treatment options available. The significance of prognostics is evident in various medical conditions, particularly chronic diseases such as cancer, diabetes, and heart disease. For instance, in oncology, understanding the prognosis of a cancer patient can guide the choice of therapy and help set realistic expectations for recovery. By analyzing factors such as tumor size, stage, and the patient's overall health, healthcare professionals can provide a more accurate forecast of the disease trajectory. This information is invaluable not only for the medical team but also for patients and their families, allowing them to prepare emotionally and financially for the journey ahead.Moreover, the integration of advanced technologies like artificial intelligence (AI) and machine learning into prognostics has revolutionized how predictions are made. These technologies can analyze vast amounts of data from patient records, clinical trials, and genetic information to identify patterns and risk factors that may influence disease progression. By harnessing the power of big data, healthcare providers can enhance the accuracy of their prognostic models, leading to better outcomes for patients. However, the reliance on prognostics also raises ethical considerations. The potential for misinterpretation of data or over-reliance on predictive models can lead to anxiety and uncertainty among patients. It is crucial for healthcare providers to communicate prognostic information clearly and compassionately, ensuring that patients understand the limitations of predictions. Furthermore, while prognostics can provide valuable insights, it is essential to remember that each patient's experience is unique, and individual responses to treatment can vary significantly. In addition to healthcare, prognostics is also relevant in other fields such as engineering, finance, and environmental science. In engineering, for example, prognostics is used to predict the failure of machinery and equipment, allowing for timely maintenance and reducing downtime. In finance, analysts use prognostics to forecast market trends and make investment decisions. Similarly, environmental scientists employ prognostics to predict climate changes and assess their impact on ecosystems. In conclusion, prognostics (预后学) is a vital tool across various domains, particularly in healthcare, where it aids in understanding disease trajectories and guiding treatment decisions. As technology continues to evolve, the potential for improving prognostic accuracy will only increase, leading to better patient outcomes and enhanced decision-making processes. However, it is essential to approach prognostics with caution, ensuring that predictions are communicated effectively and that patients are supported throughout their healthcare journey.
