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Melanom (podle MKN-10 se nazývá zhoubný melanom; též se používá termín maligní melanom) je zhoubný nádor melanocytů, který se vyskytuje převážně na kůži, ale také ve střevu a v oku (viz melanom cévnatky). Je to jeden z méně běžných typů rakoviny kůže, ale je příčinou největšího počtu úmrtí na tato nádorová onemocnění. Zhoubný melanom je závažným typem…
The analysis highlights Typy, Léčba and Rizika solárií as prominent areas in the source structure around Melanom.
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.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Melanom shows recurring relationship patterns in the source. For example, Melanom → Austrálie, Evropy, Pokud, Světová, USA Another extracted example is Melanom → Obrázky, Wikimedia Commons Slovníkové, Wikislovníku. 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.
zhoubný kůži nádoru kůže melanomu mkn-10 česku 000 ročně úmrtí chirurgické nádor viz cévnatky odstranění c43 datové položky výskyt léčba
TTTA extracted 23 structured relationships around Melanom. Examples in this analysis include Melanom → Incidence → 160 000 ročně (celosvětově) and Melanom → MKN-10 → C43.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Melanom | Incidence | 160 000 ročně (celosvětově) | 1.00 | infobox |
| Melanom | MKN-10 | C43. | 1.00 | infobox |
| Melanom | Mortalita | 48 000 ročně (celosvětově) | 1.00 | infobox |
| Melanom | Postižený systém | většinou kůže | 1.00 | infobox |
| Melanom | Příčiny nebo rizikové faktory | ultrafialové záření | 1.00 | infobox |
| Melanom | related to Externí odkazy | Obrázky | 0.60 | section |
| Melanom | related to Externí odkazy | Wikimedia Commons Slovníkové | 0.60 | section |
| Melanom | related to Externí odkazy | Wikislovníku | 0.60 | section |
| Melanom | related to Léčba | Léčba | 0.60 | section |
| Melanom | related to Reference | Melanoma | 0.60 | section |
| Melanom | related to Reference | Wikipedii | 0.60 | section |
| Melanom | related to Rizika solárií | Světová | 0.60 | section |
The concept neighborhoods around Melanom bring nearby vocabulary together. In this analysis, examples include Zhoubný, Kůži and Cévnatky. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Melanom, one of the stronger structural bridges in this analysis connects Melanom with Overview. 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 Melanom to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Typy, Léčba & Rizika solárií, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Melanom · CS edition · Analysis: TopicsToTalkAbout