Glycoside intoxication - analogs
| Description «Glycoside intoxication» | ||||||
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Начиная работу с сервисом, вы принимаете соглашение пользователя. Kiberis do not replace the doctor!
- 90% Compare I47.1 Supraventricular tachycardia
- 90% Compare Frederick 's syndrome
- 90% Compare Sinus tachycardia in a child
- 90% Compare I21.9 Acute myocardial infarction, unspecified
- 89% Compare Hypertensive cerebral crisis
- 88% Compare Tricuspid insufficiency
- 88% Compare Poisoning with alcohol surrogates
- 87% Compare Andersen syndrome
- 87% Compare White coat syndrome
- 85% Compare Coronary thrombosis
- 85% Compare Unstable angina
- 85% Compare Postinfarction angina
- 84% Compare Prehypertension
- 84% Compare Malignant arterial hypertension
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- 83% Compare Acontine poisoning
- 83% Compare Pickwick syndrome
- 81% Compare Psycho - organic syndrome
- 81% Compare Solvent poisoning
- 81% Compare Lead poisoning
- 80% Compare Cardiac asthma
- 80% Compare Tumors of the heart
- 78% Compare Diabetic cardiomyopathy
- 77% Compare Osteochondroma
- 77% Compare Coma in a child
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- 77% Compare Synovioma
- 77% Compare Bird flu
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- 75% Compare Porphyria
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- 73% Compare Sepsis
- 72% Compare Neurospeed
- 72% Compare Sleep paralysis
- 72% Compare Radiation damage to the nervous system
- 72% Compare True Polycythemia
- 71% Compare Prader - Willi syndrome
- 70% Compare Dysentery
- 70% Compare Thoracic sciatica
- 68% Compare Lipoidosis
- 68% Compare Gierke's disease
- 68% Compare Swine flu
Learn more about the selection of analogues
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- Medical online service designed to help in differential diagnostics.
- Find similar diseases for a diagnosis that causes irritation.
- If you are a professional, then the help of artificial intelligence will help in the express diagnostics.
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.