开发个性化治疗推荐系统 [英] Developing a personalised therapy recommender system

问题描述

Helo伙计们，我有一个开发个性化移动治疗推荐系统的项目想法......但我不知道从哪里开始。此外，系统应该使用k-nn算法

系统将基本上接受用户输入，然后在向这样的用户推荐最佳治疗之前对其进行处理。它还存储这样的信息以供将来使用。 ..

我的电子邮件地址已被删除，因为垃圾邮件机器人[email]

Helo guys, i have a project idea for developing a personalised mobile therapy recommender system... but i dont know where to start from. Moreso the system should use the k-nn algorithm
The system will essentially take the users input and then process it before recommending the best therapy to such a user.. also it stores such info for future use...
my email address is [email]has been removed because of spam robots[email]

推荐答案

这属于基于案例的推理（CBS）。将新案例与历史案例进行比较，以找到使用KNN的最佳匹配案例，并使用这些匹配案例的结果来推断新案例。为此，您必须拥有大量历史数据（作为知识库）。预处理是必要的，以处理缺失值，错误值，规范化等。新案例可以用已知的实际结果更新，并逐步纳入知识库。

参考：基于案例的推理 [ ^ ]

This falls into the category of Case-Based Reasoning (CBS). Comparing new cases against historical cases to find the best matched cases using KNN, and use the outcomes of these matched cases to infer on the new cases. To be able to do this, you must have a large historical data (as the knowledge base). Pre-processing is necessary to deal with, among other things, missing values, wrong values, normalization etc. New cases can be updated with the actual outcomes when known and be included into the knowledge base incrementally.
Refer: Case Based Reasoning[^]

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