AlternativeMed
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Relationship Graph Explorer

Follow the connections

Every herb, ingredient, formula, gene target, and disease — connected through real research. Search, pick a subject, and navigate the graph in any direction.

🌿
Herb
6,826
→
⚗️
Ingredient
44,598
→
🧬
Gene Target
15,695
→
🏥
Disease
30,467
→
🧪
Evidence
23,295
trials · metas · refs
Plus 6,743 TCM formulas connecting herbs together
Subject Type: 🌿 Herbs ⚗️ Ingredients 📜 Formulas 🧬 Targets 🏥 Diseases
Quick picks: Abetalipoproteinemia Abortion, Habitual Agenesis Acanthamoeba Keratitis Acanthosis Nigricans Achondrogenesis Achondroplasia Acne Vulgaris Acne Keloid Apert Syndrome
🏥 Disease / Health Topic

Spoken Word Recognition Deficit

Open on HERB 2.0 ↗
0
Clinical Trials
0
Meta-Analyses
0
PubMed References
🏥 All Disease / Health Topic data fields for Spoken Word Recognition Deficit
🏥 Names
Disease Name
Spoken Word Recognition Deficit
Alias Names
Spoken Word Recognition Deficit
Topic Type
phenotype
🧬 Ontology Classifications
DisGeNET Type
phenotype
UMLS Type
Mental or Behavioral Dysfunction
MeSH Class
Nervous System Diseases; Pathological Conditions, Signs and Symptoms
HPO Class
Abnormality of the nervous system
🔗 External References
HERB DB
HBDIS025449 ↗
HPO
HP:0030391 ↗
DisGeNET
C4072928
🔍 Raw view — every non-empty column on this row (25 fields)
name
Spoken Word Recognition Deficit
alias name
Spoken Word Recognition Deficit
topic type
phenotype
disgenet disease type
phenotype
umls disease type
Mental or Behavioral Dysfunction
mesh disease class
Nervous System Diseases; Pathological Conditions, Signs and Symptoms
hpo disease class
Abnormality of the nervous system
umls disease type id
T048
mesh disease class id
C10; C23
hpo disease class id
HP:0000707
herb disease id
HBDIS025449
disgenet id
C4072928
hpo id
HP:0030391
No relationships found yet for this entity. Try picking one of the top-researched items above.
How relationships are computed
  • Clinical Trials / Meta-Analyses / References: direct foreign-key link via subject_entity_id (Phase 2d wireup)
  • Formula ↔ Herbs: text bridge via formulas.herbs_in_pinyin matching herbs.pinyin_name
  • Herb ↔ Ingredient: ACTIVE — direct link via herb_ingredients
  • Ingredient ↔ Target: ACTIVE — direct link via ingredient_targets
  • Target ↔ Disease: ACTIVE — direct link via target_health_topics
  • Herb → Target → Disease (full chemical spine): ACTIVE — joins all three link tables