E23.2 Diabetes insipidus - analogs
| Description «E23.2 Diabetes insipidus» | ||||||
|
||||||
Начиная работу с сервисом, вы принимаете соглашение пользователя. Kiberis do not replace the doctor!
- 21% Compare R46.3 Overactivity
- 18% Compare D44.3 Neoplasm of uncertain or unknown behaviour, pituitary gland
- 15% Compare C74 Malignant neoplasm of adrenal gland
- 14% Compare E03 Other hypothyroidism
- 14% Compare E26 Hyperaldosteronism
- 13% Compare C51-C58 Malignant neoplasms of female genital organs
- 11% Compare E23.6 Other disorders of pituitary gland
- 11% Compare N46 Male infertility
- 11% Compare E23 Hypofunction and other disorders of pituitary gland
- 11% Compare N99.4 Postprocedural pelvic peritoneal adhesions
- 11% Compare C00-C14 Malignant neoplasms of the lip, oral cavity and pharynx
- 11% Compare O01.9 Hydatidiform mole, unspecified
- 11% Compare E23.6.0* Adiposogenital syndrome
- 11% Compare M82.8 Osteoporosis in other diseases classified elsewhere
- 11% Compare O00-O08 Pregnancy with abortive outcome
- 10% Compare E14 Unspecified diabetes mellitus
- 10% Compare D62 Acute posthaemorrhagic anaemia
- 10% Compare I20-I25 Coronary heart disease
- 10% Compare L72.1 Trichilemmal cyst
- 10% Compare H40.1 Primary open-angle glaucoma
- 10% Compare M83 Adult osteomalacia
- 10% Compare C66 Malignant neoplasm of ureter
- 10% Compare G71.1 Myotonic disorders
- 10% Compare R57.1 Hypovolaemic shock
- 10% Compare D60.9 Acquired pure red cell aplasia, unspecified
- 10% Compare L92.1 Necrobiosis lipoidica, not elsewhere classified
Learn more about the selection of analogues
- 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.