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Titlebook: Machine Learning in Medicine - a Complete Overview; Ton J. Cleophas,Aeilko H. Zwinderman Textbook 20151st edition Springer International P

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41#
發(fā)表于 2025-3-28 16:44:02 | 只看該作者
42#
發(fā)表于 2025-3-28 22:41:22 | 只看該作者
Online Analytical Procedure Cubes, a More Rapid Approach to Analyzing Frequencies (450 Patients)s a software package for storing business data, like financial data, in an electronic warehouse, and, at the same time, turning raw data into meaningful information (business intelligence), and was initially called layered reports. Generally, financial data or production data are being summarized, a
43#
發(fā)表于 2025-3-28 23:26:21 | 只看該作者
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發(fā)表于 2025-3-29 07:01:20 | 只看該作者
45#
發(fā)表于 2025-3-29 08:09:54 | 只看該作者
46#
發(fā)表于 2025-3-29 11:59:15 | 只看該作者
Measuring Agreement (30 Patients)can be applied to measure agreement. Agreement, otherwise called reproducibility or reliability, of duplicate observations is the fundament of diagnostic procedures, and, therefore, also the fundament of much of scientific research.
47#
發(fā)表于 2025-3-29 19:35:54 | 只看該作者
48#
發(fā)表于 2025-3-29 20:40:30 | 只看該作者
Predictions from Ordinal Clinical Data (450 Patients)ne treatment level performs better than the other. We should add that sometimes an ordinal variable can very well be analyzed as a nominal one (e.g., treatment outcome in the current Chap. and in Chap. .).
49#
發(fā)表于 2025-3-30 03:52:09 | 只看該作者
Control Charts for Quality Control of Medicines (164 Tablet Desintegration Times)and then, has become more easy, and, in addition, provides information of process variations over time and process performance. Control charts available in SPSS and other data mining software is helpful to that aim.
50#
發(fā)表于 2025-3-30 05:46:16 | 只看該作者
Textbook 20151st editionas a training companion and as a must-read, not only for physicians and students, but also for any one involved in the process and progress of health and health care. In eighty chapters eighty different machine learning methodologies are reviewed, in combination with data examples for self-assessmen
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