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Kachexie nebo též kachektizace je výraz z medicíny označující fyzickou slabost, ztrátu hmotnosti a svalové hmoty v důsledku nemoci. V úmrtních matrikách minulých dob (až do 1. světové války) se pro kachexii užíval latinský termín marasmus a považovala se často za diagnózu úmrtí.
The analysis highlights Related Topics, Entities and Connections as prominent areas in the source structure around Kachexie.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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See recurring relationship patterns around Kachexie before inspecting the individual extracted relationships.
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marasmus též kachektizace výraz medicíny označující fyzickou slabost ztrátu hmotnosti svalové hmoty důsledku nemoci úmrtních matrikách minulých dob světové války
TTTA extracted structured relationships around Kachexie. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|
The concept neighborhoods around Kachexie bring nearby vocabulary together. In this analysis, examples include Důsledku, Externí and Fyzickou. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the Kachexie map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Kachexie to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Related Topics, Entities & Connections, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Kachexie · CS edition · Analysis: TopicsToTalkAbout
