Medical index missing data complementing method for patients with peptic ulcer
A technology for peptic ulcer and missing data, applied in the medical field, can solve problems such as only considering time series, and achieve the effect of increasing data accuracy
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0031] Such as figure 1 , figure 2 , image 3 As shown, a method for completing the missing data of medical indicators of peptic ulcer patients includes the following steps:
[0032] Step S1: read the measurement data of the ulcer patient,
[0033] Step S2: Preprocessing the collected data;
[0034] The main purpose of medical big data preprocessing is to reduce the impact of noisy data on the overall data. Noisy data includes the following types, errors in the entry process, outliers that deviate from most data, and data duplication caused by the merger of heterogeneous data sources.
[0035] In this example, the statistical method is used to detect numerical attributes, and the possible range interval of the attribute is considered to identify outliers, or clustering can be used to identify outliers. The outlier data are then mode corrected.
[0036] Step S201: time aligning the data
[0037] The time of each patient's visit is different. The principle of alignment is...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com