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Comparison results

 
Results: Differences Similar ListeriosisПостстрептококковый гломерулонефрит у детей
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Distinctive symptoms
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meningitis 66%
streptococcal infections 78%
meningitis in children 64%
glomerulonephritis 75%
inflammation of the brain 64%
streptodermia 69%
aversion to dairy products 62%
inflammation 63%
nose desire for milk 62%
nephropathy 58%
desire cabbage 62%
hematuria 54%
aversion to milk 62%
pyoderma 54%
antenatal fetal death 60%
hematuric nephritis 51%
early miscarriage 54%
nephritic syndrome 49%
miscarriage 54%
swelling 49%
death of relatives 53%
scarlet 47%
death of a loved 52%
pale puffy face 47%
pregnancy 52%
hereditary jade 46%
loves cheese 51%
renal parenchyma hyperechoic 45%
damage to the nervous system 51%
facial swelling 44%
brain abscess 50%
streptococcal tonsillitis 43%
desire for dairy products 49%
sore throat in children 42%
vomiting in pregnant 48%
thirst 42%
death of the child 46%
nodes headache in schoolchildren 40%
are worse from meat 46%
pionephrosis 39%
intrauterine pneumonia 46%
drinks a lot of fluids 39%
abscess 45%
renal edema 37%
premature birth 43%
cylinders 37%
worse from bathing 42%
hypovitaminosis to 37%
worse from vegetables 42%
vitamin K1 is lowered 37%
vomiting 42%
microhematuria 36%
deterioration during pregnancy 40%
pale face 36%
abdominal muscle pain 40%
thrombosis of small vessels 35%
worse pregnancy 40%
heaviness in the kidneys 35%
high temperature 40%
pneumococcal pneumonia 34%
monocytosis 39%
purulent otitis 34%
happy 39%
fatigue from children 33%
viral arthritis 39%
increased urea 33%
hiv 38%
subcutaneous edema 32%
kidney cancer 38%
pharyngitis 32%
acute infectious arthritis 38%
acute otitis 32%
2 children 38%
purulent lymphadenitis 32%
liquid stool 37%
decrease in albumin 31%
nodules on the joints 36%
infection genitourinary 31%
papules 36%
hump 31%
fever diarrhea 35%
fluid in the abdomen 31%
acute arthritis 35%
increased potassium 31%
opportunistic infections 35%
swelling of the whole body 31%
impaired gastric function 35%
appetite increased 31%
habitual miscarriage 35%
otitis 31%
fever abdominal pain 34%
stooped 31%
acute viral hepatitis 34%
decrease in creatinine 30%
endocarditis 64% 28%
changes in urine 30%
heart disease in relatives 33%
leukocyturia 30%
headache with nausea and vomiting 33%
hydrothorax 30%
fever with muscle pain 33%
kidney disease 24% 53%
nausea with fever 33%
abdominal swelling 29%
acute hepatitis 32%
eye swelling 29%
consequences of infection 32%
lower back pain 29%
diseases of the gastrointestinal tract 32%
sore 29%
purulent peritonitis 32%
pus on the tonsils 29%
nose headache from fatigue 32%
increase in creatinine 29%
vomiting at fever 31%
abdominal pain with nausea 29%
lower respiratory tract infections 31%
worse from water 29%
nausea and diarrhea 31%
sluggish baby 29%
headache vomiting 31%
pleurisy 28%
headache at temperature 31%
lymphadenitis 28%
type 1 diabetes mellitus 30%
ascites 28%
infectious arthritis 30%
curvature of the spine 28%
diarrhea vomiting 30%
back pain 27%
peritonitis 30%
proteinuria 27%
shock states of various genesis 29%
pale skin 27%
stomach pain 29%
lymph node lesion 27%
pregnancy complications 29%
beriberi 26%
tremor 28%
constant weakness 26%
liver dysfunction 28%
dehydration 26%
weakening of immunity 28%
thrombosis 24%
ARVI 28%
quickly gets tired 24%
subfebrile condition 28%
hypertension 23%
pain in the intestines 27%
feeling of bruising 23%
caution 27%
bleeding 23%
heart dysfunction 51% 22%
there are no complaints 22%
muscle pain 26%
renal parenchyma is hypoechoic 19%
hepatitis 26%
consequences of taking medications 21% 21%
childhood diseases 50% 22%
sensations in the head 26%
nausea vomiting 26%
cough 26%
bacteremia 26%
nose nursing mom 26%
arthritis 26%
convulsions 25%
sensitivity to medications 25%
diabetes mellitus 25%
joint diseases 25%
cancer 24%
liver problems 24%
oncology 22%
immunodeficiency 44% 24%
sepsis 36% 25%
diarrhea 36% 25%
onset of illness 32% 22%

Instructions

Video
  1. Introduce new diseases through 🔍 Search and input on the top panel using
  2. The table shows the most important distinguishing symptoms, tests and diagnoses related to the selected diseases.
  3. The higher the percentage, the more important this symptom is for the disease and vice versa. At 0%, we can say that this symptom never occurs in the disease.
  4. The list changes dynamically depending on the data of the current visit in the selection of therapy .
  5. Click on the percentageto see the suggestions from the original source.
  6. By using the service, you agree to user agreement. Kiberis services do not replace a doctor!