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Astma (z řeckého ἅσθμα, ásthma, „lapání po dechu“, celým názvem astma bronchiale; zastarale záducha) je běžné chronické onemocnění dýchacích cest charakterizované různými opakujícími se symptomy, dočasným omezením průtoku vzduchu průduškami (reverzibilní bronchiální obstrukce) a křečemi svalstva průdušek. Mezi běžné symptomy patří sípání, kašel, svírání…
The analysis highlights Příčiny, Historie and Léčba as prominent areas in the source structure around Astma.
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.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Prozkoumejte skupiny témat propojených ve zdrojovém textu. Vyberte si libovolné téma; okruhy nemají určené pořadí.
Search suggestions related to this topic. Open a question to research it further; suggestions are not verified answers.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
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The extracted context around Astma shows recurring relationship patterns in the source. For example, Astma → ADAM33, CD14, CTLA-4, GSTM1, IL10, IL4R, LTC4S, Mnoho, Některé, Příkladem, Riziko, SNP, SPINK5, Vystavení Another extracted example is Astma → Avšak, Jisté, Kouření, PVC, Rhinovirus, RSV, Snahy, Určité, Vystavení. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
astmatu může jsou osob jako dýchacích symptomy astmatem například symptomů případů onemocnění mohou cest patří léky kortikosteroidů ke počet případě
TTTA extracted 117 structured relationships around Astma. Examples in this analysis include Astma → MeSH → D001249 and Astma → MKN-10 → J45, J46. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Astma | MeSH | D001249 | 1.00 | infobox |
| Astma | MKN-10 | J45, J46 | 1.00 | infobox |
| Astma | related to Alternativní způsoby léčby | Mnoho | 0.60 | section |
| Astma | related to Alternativní způsoby léčby | Ze | 0.60 | section |
| Astma | related to Alternativní způsoby léčby | Ionizátory | 0.60 | section |
| Astma | related to Alternativní způsoby léčby | Manuální | 0.60 | section |
| Astma | related to Alternativní způsoby léčby | Butejkova | 0.60 | section |
| Astma | related to Alternativní způsoby léčby | Skupina | 0.60 | section |
| Astma | related to Bronchokonstrikce | Dochází | 0.60 | section |
| Astma | related to Bronchokonstrikce | Dýchací | 0.60 | section |
| Astma | related to Bronchokonstrikce | Brzy | 0.60 | section |
| Astma | related to Diagnóza | Ačkoli | 0.60 | section |
The concept neighborhoods around Astma bring nearby vocabulary together. In this analysis, examples include Jako, Onemocnění and Astmatu. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Astma, one of the stronger structural bridges in this analysis connects Astma with Příčiny. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Astma to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Příčiny, Historie & Léčba, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Astma · CS edition · Analysis: TopicsToTalkAbout