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Comparison results

 
Results: Differences General ✘Cryptococcosis of the lungs✘Germanski-Pudlak syndrome
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Distinctive symptoms
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cryptococcosis of the lungs 97% —
sudden urge to defecate — 50%
cryptococcosis 92% —
albinism — 50%
pain when taking a deep breath 50% —
dark feces — 45%
meningoencephalitis 49% —
bleeding — 43%
pleurisy 45% —
fibrosis of the lungs — 42%
there are no complaints 45% —
strabismus — 41%
dull chest pain 45% —
stomach cough — 40%
prolonged dry cough 43% —
cough to vomiting — 40%
fever cough 43% —
visual impairment — 40%
lower part of the left lung 43% —
platelet aggregation is reduced — 40%
cough prolonged 43% —
myopic astigmatism — 39%
weakening of immunity 43% —
gastric bleeding — 38%
moist frequent cough 42% —
vomiting blood — 38%
leukoencephalitis 42% —
bleeding ulcer — 38%
high temperature 42% —
intestinal bleeding — 37%
cough wet 41% —
sudden vomiting — 37%
prolonged fever 41% —
urge to vomit — 36%
dry cough 41% —
ulcers in the nose — 36%
blastomycosis 40% —
blurred vision — 36%
pain chest 40% —
hemorrhagic diathesis — 34%
pneumomycosis 38% —
vomiting black — 33%
persistent wet cough 38% —
astigmatism — 33%
lymphoma 38% —
increased bleeding — 33%
shortness of breath at the slightest physical exertion 37% —
blue eyes — 32%
cough when inhaling 37% —
areas of depigmentation of the skin — 31%
productive cough 36% —
hemorrhagic syndrome — 31%
residual lung volume is reduced 36% —
bright eyes — 31%
disseminated tuberculosis 36% —
nosebleed — 31%
constant cough dry 36% —
vomiting — 31%
aching chest pain 36% —
erection at night — 30%
mucus in the bronchi 36% —
crohn — 30%
damage to the nervous system 36% —
blood dark — 30%
dry fever 35% —
mucous stools — 30%
lung lymphoma 34% —
heaviness in the eyes — 30%
with everything deep dry cough 34% —
bleeding uterine — 30%
hiv 34% —
myopia — 29%
sweating is increased 34% —
gastrointestinal problems — 29%
cough after exercise 33% —
photophobia — 28%
frequent cough 33% —
primary immunodeficiency — 28%
pneumocystis pneumonia 33% —
agnosia — 27%
lower respiratory tract infections 63% 28%
bacterial pneumonia — 26%
pain in the pleura 32% —
thrombocytopenia — 25%
lymphogranulomatosis 32% —
pale skin — 25%
sweating of the whole body 32% —
intestinal mucosa — 25%
chest pain when inhaling 32% —
bacteremia — 24%
cough deep 32% —
family man — 23%
no fever 32% —
female pelvic organs — 23%
minimum physical load 32% —
periods of exacerbation — 23%
dryness 31% —
sepsis — 23%
sharp cough 31% —
a history of organ transplantation — 23%
sputum green 31% —
skin problems — 20%
sweating with weakness 31% —
blood diseases 28% 34%
intoxication of alcohol 31% —
immunodeficiency 39% 39%
pain when inhaling 31% —
shortness of breath during physical exertion 28% 28%
feeling of heat 30% —
increased 26% 26%
shortness of breath at rest 30% —
drug disease 20% 20%
asleep shortness of breath lying down 30% —
does not sweat 30% —
fruits when running worse 30% —
chest pain when coughing 29% —
interstitial pneumonia 29% —
interstitial lung diseases 29% —
ARVI 57% 26%
cough with shortness 28% —
pulmonary tuberculosis 28% —
predominant right 28% —
malignant lymphoma 28% —
worse from exercise 28% —
leukemia 28% —
oncology 27% —
increased profuse sweating 27% —
severe sweating 27% —
chest pain when breathing 27% —
hydrothorax 27% —
type of breathing chest 26% —
no strength 26% —
lymphadenitis 26% —
neurogenic pain 26% —
pain from the load 25% —
pain during exercise 25% —
pain when breathing 24% —
bronchial lesion 24% —
tuberculosis 24% —
respiratory insufficiency 24% —
patient is motionless 23% —
emaciation 23% —
rapid weight loss 23% —
radiation damage 23% —
aching 23% —
subacute condition 22% —
patient's condition 43% 19%
lowered 42% 19%
cancer 21% —
consequences of infection 20% —
sputum 57% 36%
fungus 57% 36%
inflammation 38% 19%
pneumonia 52% 33%
impaired lung function 46% 29%
cough 53% 41%
sputum with blood 48% 39%
dyspnea 39% 32%
history of surgery 32% 26%

Instructions

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  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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