標(biāo)題: Titlebook: Explainable Machine Learning in Medicine; Karol Przystalski,Rohit M. Thanki Book 2024 The Editor(s) (if applicable) and The Author(s), und [打印本頁] 作者: GOLF 時(shí)間: 2025-3-21 19:56
書目名稱Explainable Machine Learning in Medicine影響因子(影響力)
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書目名稱Explainable Machine Learning in Medicine讀者反饋
書目名稱Explainable Machine Learning in Medicine讀者反饋學(xué)科排名
作者: Kernel 時(shí)間: 2025-3-21 20:42
Medical Tabular Data,simple example of this type of data. We have the weight, age, and height values divided by the person to which they are assigned. Such data might be too simple to be used with a deep neural network or even most shallow methods, but we can use methods such as linear regression to see the correlation 作者: Hormones 時(shí)間: 2025-3-22 02:08
,Natural Language Processing for?Medical Data Analysis,ledge and the terms that in the case of medicine can be in Latin. This means that most of the publicly available language models are not trained to recognize the medical terms. For each NLP exercise, most of the models are developed in English.作者: grenade 時(shí)間: 2025-3-22 05:03
,Computer Vision for?Medical Data Analysis,he medical diagnostics on a daily basis. The most typical are X-ray and ultrasound scans. Some General Practitioners have a dermatoscope to take pictures of the skin. Similarly, thermography can be used to take kind of heatmap images of our body. If the diagnosis of a disease is more complex, magnet作者: flutter 時(shí)間: 2025-3-22 09:45 作者: overrule 時(shí)間: 2025-3-22 14:07 作者: overrule 時(shí)間: 2025-3-22 18:52 作者: cultivated 時(shí)間: 2025-3-22 22:40
Critique as a Notion of Spiritualityn observe how the observed organ changes its behavior over time, making it possible to recognize different types of anomalies or diseases compared to data captured in one time, such as typical MRI scans.作者: 使人煩燥 時(shí)間: 2025-3-23 01:41 作者: 使混合 時(shí)間: 2025-3-23 06:48 作者: scotoma 時(shí)間: 2025-3-23 11:14 作者: 極力證明 時(shí)間: 2025-3-23 17:42
Book 2024sis desired. Because a variety of data can be used in the medical field, the book explains how to deal with challenges connected with each type. A number of scenarios are introduced that can happen in real-time environments, with each pared with a type of machine learning that can be used to solve it..作者: BLINK 時(shí)間: 2025-3-23 20:55 作者: Hypopnea 時(shí)間: 2025-3-24 02:02 作者: 積極詞匯 時(shí)間: 2025-3-24 05:24 作者: Rankle 時(shí)間: 2025-3-24 08:12 作者: Inculcate 時(shí)間: 2025-3-24 13:50 作者: confederacy 時(shí)間: 2025-3-24 15:23
Handbook of Spectral Lines in Diamondsimple example of this type of data. We have the weight, age, and height values divided by the person to which they are assigned. Such data might be too simple to be used with a deep neural network or even most shallow methods, but we can use methods such as linear regression to see the correlation 作者: craven 時(shí)間: 2025-3-24 20:02 作者: Admire 時(shí)間: 2025-3-25 02:43
https://doi.org/10.1007/978-981-16-3679-0he medical diagnostics on a daily basis. The most typical are X-ray and ultrasound scans. Some General Practitioners have a dermatoscope to take pictures of the skin. Similarly, thermography can be used to take kind of heatmap images of our body. If the diagnosis of a disease is more complex, magnet作者: 松軟無力 時(shí)間: 2025-3-25 04:34
Critique as a Notion of Spiritualityscan, we receive a set of images, but the set is a capture of a small piece (slice) of our body. It is even possible to combine the MRI slices into a 3D model as the distance between the slices is fixed. A different approach is proposed in videos, such as ultrasound videos, in which we see changes i作者: 癡呆 時(shí)間: 2025-3-25 10:31 作者: 紅潤 時(shí)間: 2025-3-25 14:59
Karol Przystalski,Rohit M. ThankiProvides a primer on explainable artificial intelligence and machine learning methods that can be used in medical cases.Presents how explainable AI aids in choosing ML algorithms that give better perf作者: 效果 時(shí)間: 2025-3-25 18:08
Synthesis Lectures on Engineering, Science, and Technologyhttp://image.papertrans.cn/e/image/319300.jpg作者: 蚊帳 時(shí)間: 2025-3-25 21:16 作者: 別名 時(shí)間: 2025-3-26 03:05 作者: Meditative 時(shí)間: 2025-3-26 04:51
https://doi.org/10.1007/978-3-031-44877-5Explainable Machine Learning; Medical Machine Learning; Medicine Artificial Intelligence; Medical Data 作者: 官僚統(tǒng)治 時(shí)間: 2025-3-26 12:15 作者: Benign 時(shí)間: 2025-3-26 16:13 作者: 真繁榮 時(shí)間: 2025-3-26 20:37
Mathematics and Its Applicationsigence (XAI) and its applications in the medical domain. This book provides a thorough exploration of the challenges and opportunities that arise when integrating machine-learning models into medical decision-making processes.作者: 包庇 時(shí)間: 2025-3-26 23:38
Introduction,cted from various sources, such as electronic health records (EHRs), medical imaging, genomic testing, clinical trials, and public health surveillance. Here are some examples of medical data and their applications.作者: rheumatology 時(shí)間: 2025-3-27 03:09 作者: Lucubrate 時(shí)間: 2025-3-27 05:47
Summary,igence (XAI) and its applications in the medical domain. This book provides a thorough exploration of the challenges and opportunities that arise when integrating machine-learning models into medical decision-making processes.作者: 問到了燒瓶 時(shí)間: 2025-3-27 13:01 作者: 生存環(huán)境 時(shí)間: 2025-3-27 16:21
Sandrine Dudoit,Jean Yee Hwa Yangutions to this book unveil how teachers, backgrounding the political inherent in all memory practices, often nourish the illusion that the history in which they are engaged is all about addressing the past with a reflexive and disciplined approach..978-3-030-11999-7Series ISSN 2662-7361 Series E-ISSN 2662-737X 作者: sphincter 時(shí)間: 2025-3-27 20:44 作者: Interlocking 時(shí)間: 2025-3-27 22:59
Satellite Water Colour Observations in African Seasing Spectrometer (MERIS), available by the European Space Agency (ESA), derived using spectral bands near 700?nm in the near-infrared part of the spectrum, provide further information on blooms and aquatic vegetation. We present here results of satellite observations of various African seas, showing作者: 大酒杯 時(shí)間: 2025-3-28 03:21
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean,ecific number of decimal places, how to save an Excel worksheet into your computer, and how to print out an Excel worksheet. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional pract
