ONR 4 levels - analogs
| Description «ONR 4 levels» | ||||||
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- 79% Compare Level 1 ONR
- 70% Compare Functional dyslalia
- 63% Compare General underdevelopment of speech (ONR)
- 61% Compare Dyslalia
- 59% Compare Level 2 ONR
- 57% Compare Agrammatic dysgraphy
- 57% Compare Mechanical dyslalia
- 56% Compare Bilingualism in children
- 51% Compare Motor alalia
- 47% Compare Erased dysarthria
- 46% Compare Phonetic and phonemic underdevelopment (FFN)
- 45% Compare Dysarthria in children
- 44% Compare Pseudobulbar dysarthria
- 43% Compare Sensorimotor alalia
- 43% Compare Cortical dysarthria
- 40% Compare Open Rhinolalia
- 39% Compare Dysorphography
- 37% Compare Optical dysgraphy
- 37% Compare Efferent motor aphasia
- 37% Compare Sigmatism
- 37% Compare Phonetic speech disorder
- 36% Compare Bulbar dysarthria
- 35% Compare Afferent motor aphasia
- 34% Compare Violation of fine motor skills in children
- 33% Compare R48 Dyslexia and other symbolic dysfunctions, not elsewhere classified
- 33% Compare ONR 3 levels
- 33% Compare Mowgli syndrome
- 33% Compare Physiological dyslalia
- 33% Compare Rhinolalia
- 33% Compare Martin-Bell syndrome
- 31% Compare Primary progressive aphasia
- 31% Compare Atypical autism
- 31% Compare Hydrocephalus
- 30% Compare Autism
- 29% Compare Little's disease
- 29% Compare Agenesis of the corpus callosum
- 29% Compare X-chromosome trisomy
- 28% Compare Sensory alalia
- 28% Compare Acoustic-mnestic aphasia
- 27% Compare Cerebellar dysarthria
- 26% Compare Paraautism
- 26% Compare Acoustic-gnostic aphasia
- 26% Compare Ataxic cerebral palsy
- 26% Compare Hypostatura
- 25% Compare Placentitis
- 25% Compare Cortical blindness
- 24% Compare Mobius syndrome
- 23% Compare Microcephaly
- 23% Compare Lawrence-Moon-Bardet-Bidl syndrome
- 23% Compare Phenylketonuria
Learn more about the selection of analogues
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- Find similar diseases for a diagnosis that causes irritation.
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The advantage of Kiberis is its versatility, thanks to which it is able to select analogues for anything, including for diseases and diagnoses. Artificial intelligence analyzes descriptions of diseases, clinical recommendations for their treatment, real statistics on making diagnoses and displays the most similar diseases with a degree of similarity in percent.