Method for constructing machine learning model for identifying infectious diseases and non-infectious diseases
A machine learning model, a technology for infectious diseases, applied in the field of medical diagnosis, which can solve problems to be studied, etc.
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Embodiment 1
[0087] Example 1 Identification of infectious and non-infectious encephalitis
[0088] 1. Sample entry and clinical differential diagnosis:
[0089] The full name of autoimmune encephalitis is autoimmune encephalitis, which is an inflammation mediated by immune mechanisms, mostly involving the white matter of the brain and manifesting as demyelination of the white matter. Most autoimmune brains are caused by viral infections or tumors. The diagnosis of autoimmune brain includes four aspects: clinical manifestations, auxiliary examinations, confirmatory experiments and exclusion of other causes. Diagnosed autoimmune encephalitis (Autoimmune Encephalitis, AE): meet the following diagnostic conditions 1 to 4. The diagnosis of AE requires a combination of the patient's clinical manifestations, cerebrospinal fluid examination, neuroimaging, and electroencephalographic examination results. The positive anti-neuron antibody is the main basis for the diagnosis.
[0090] 1.1 Clinica...
Embodiment 2
[0112] Example 2 Identification of infectious and non-infectious pneumonia
[0113] 1. Sample entry and clinical differential diagnosis:
[0114] The infectious pneumonia samples in this example are all samples of community-acquired pneumonia.
[0115] Community-acquired pneumonia is caused by a variety of microorganisms such as bacteria, viruses, chlamydia, and mycoplasma only outside the hospital. The main clinical symptoms are cough, with or without expectoration and chest pain, and the prodromal symptoms are mainly rhinitis-like symptoms or symptoms of upper respiratory tract infection, such as nasal congestion, runny nose, sneezing, dry throat, sore throat, foreign body sensation in the pharynx , Hoarseness, headache, dizziness, hot eyes, tearing and mild cough. Not every patient with community-acquired pneumonia will have prodromal symptoms, and the incidence is generally between 30% and 65% depending on the pathogen.
[0116] The diagnosis of community-acquired pneum...
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