Update app.py
Browse files
app.py
CHANGED
@@ -60,13 +60,13 @@ loaded_scaler = loaded_components['scaler']
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# Data Fields
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data_fields = {
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"**PRG**": "**Number of Pregnancies (applicable only to females)**\n - The total number of pregnancies a female patient has experienced.",
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"PL": "Plasma Glucose Concentration (mg/dL)
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"PR": "Diastolic Blood Pressure (mm Hg)
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"SK": "Triceps Skinfold Thickness (mm)
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"TS": "2-hour Serum Insulin (mu U/ml)
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"M11": "Body Mass Index (BMI) (weight in kg / {(height in m)}^2)
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"BD2": "Diabetes pedigree function (mu U/ml)
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"Age": "Age of the Patient (years)
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}
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# Organize input fields into two columns
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col1, col2 = st.columns(2)
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# Data Fields
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data_fields = {
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"**PRG**": "**Number of Pregnancies (applicable only to females)**\n - The total number of pregnancies a female patient has experienced.",
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"**PL**": "**Plasma Glucose Concentration (mg/dL)**\n - The concentration of glucose in the patient's blood). It provides insights into the patient's blood sugar levels.",
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"**PR**": "**Diastolic Blood Pressure (mm Hg)**\n - The diastolic blood pressure, representing the pressure in the arteries when the heart is at rest between beats.",
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"**SK**": "**Triceps Skinfold Thickness (mm)**\n - The thickness of the skinfold on the triceps, measured in millimeters (mm). This measurement is often used to assess body fat percentage.",
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"**TS**": "**2-hour Serum Insulin (mu U/ml)**\n - The level of insulin in the patient's blood two hours after a meal, measured in micro international units per milliliter (mu U/ml).",
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"**M11**": "**Body Mass Index (BMI) (weight in kg / {(height in m)}^2)**\n - BMI provides a standardized measure that helps assess the degree of body fat and categorizes individuals into different weight status categories, such as underweight, normal weight, overweight, and obesity.",
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"**BD2**": "**Diabetes pedigree function (mu U/ml)**\n - The function provides information about the patient's family history of diabetes.",
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"**Age**": "**Age of the Patient (years)**\n - Age is an essential factor in medical assessments and can influence various health outcomes."
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}
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# Organize input fields into two columns
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col1, col2 = st.columns(2)
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