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Comparison results

 
Results: Differences General Ulcerative tuberculosis of the skinCryptococcosis of the lungs
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Distinctive symptoms
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tuberculosis of the skin 64%
cryptococcosis of the lungs 97%
ulcers on the skin 46%
cryptococcosis 92%
peptic ulcer 42%
lower respiratory tract infections 63%
reaction to manta rays 36%
ARVI 57%
skin problems 36%
pneumonia 52%
abdominal pain from coughing 35%
pain when taking a deep breath 50%
ulcers on the lips 35%
meningoencephalitis 49%
rashes around the anus 34%
there are no complaints 45%
rashes around the mouth 34%
pleurisy 45%
profuse sweat at night 33%
dull chest pain 45%
sweating from coughing 33%
prolonged dry cough 43%
urination when coughing 32%
cough prolonged 43%
sputum copious 32%
lower part of the left lung 43%
purulent rashes on the skin 32%
fever cough 43%
tuberculosis in children 31%
high temperature 42%
small rash 31%
moist frequent cough 42%
rash pustules 30%
leukoencephalitis 42%
bacterial keratitis 30%
prolonged fever 41%
copious urination 30%
cough wet 41%
rash over the lip 29%
dry cough 41%
red rash 29%
pain chest 40%
skin is tight 28%
blastomycosis 40%
abdominal pain at night 28%
dyspnea 39%
drug allergy 27%
pneumomycosis 38%
suppuration of the skin 27%
persistent wet cough 38%
night sweat 27%
lymphoma 38%
papules 27%
shortness of breath at the slightest physical exertion 37%
big nose 26%
cough when inhaling 37%
stool is large 26%
damage to the nervous system 36%
corneal ulcer 26%
productive cough 36%
difficulty urinating 26%
mucus in the bronchi 36%
silicotuberculosis 26%
residual lung volume is reduced 36%
skin dirty 26%
aching chest pain 36%
weak stream of urine 25%
constant cough dry 36%
allergy 25%
fungus 21% 57%
sweats from pain 25%
dry fever 35%
conducting an inspection 25%
with everything deep dry cough 34%
rash in the mouth 25%
lung lymphoma 34%
discharge from the anus 25%
pneumocystis pneumonia 33%
increased sensitivity 25%
frequent cough 33%
urination with blood 25%
cough after exercise 33%
cough paroxysmal 24%
no fever 32%
red papules 24%
cough deep 32%
with attacks of abdominal pain 24%
minimum physical load 32%
necrosis 24%
sweating of the whole body 32%
keratitis 22%
chest pain when inhaling 32%
rash on the body 22%
lymphogranulomatosis 32%
urination painful 22%
pain in the pleura 32%
the skin is dark 21%
sharp cough 31%
scratches 20%
sweating with weakness 31%
reddening of the skin 20%
pain when inhaling 31%
wounds heal poorly 20%
sputum green 31%
attacks of pain 18%
dryness 31%
abdominal pain 18%
intoxication of alcohol 31%
soreness of the skin 18%
fruits when running worse 30%
wound 18%
asleep shortness of breath lying down 30%
tuberculosis 43% 24%
does not sweat 30%
onset of illness 16%
shortness of breath at rest 30%
childhood diseases 16%
feeling of heat 30%
pulmonary tuberculosis 39% 28%
interstitial pneumonia 29%
oncology 31% 27%
interstitial lung diseases 29%
impaired lung function 17% 46%
shortness of breath during physical exertion 28%
malignant lymphoma 28%
leukemia 28%
cough with shortness 28%
patient's condition 15% 43%
worse from exercise 28%
predominant right 28%
chest pain when breathing 27%
hydrothorax 27%
no strength 26%
type of breathing chest 26%
neurogenic pain 26%
lymphadenitis 26%
pain from the load 25%
pain during exercise 25%
respiratory insufficiency 24%
pain when breathing 24%
bronchial lesion 24%
aching 23%
radiation damage 23%
rapid weight loss 23%
emaciation 23%
patient is motionless 23%
inflammation 15% 38%
subacute condition 22%
cancer 21%
lowered 21% 42%
consequences of infection 20%
cough 33% 53%
sputum 41% 57%
sputum with blood 32% 48%
sweating is increased 19% 34%
hiv 20% 34%
weakening of immunity 29% 43%
blood diseases 16% 28%
disseminated tuberculosis 30% 36%
chest pain when coughing 23% 29%
increased 21% 26%
increased profuse sweating 22% 27%
severe sweating 22% 27%
drug disease 16% 20%
immunodeficiency 37% 39%
history of surgery 30% 32%

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.
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