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secretunicornx
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Parent(s):
053e811
Create app.py
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app.py
ADDED
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# -*- coding: utf-8 -*-
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"""Copy of Skin NTDs.ipynb
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Automatically generated by Colaboratory.
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Original file is located at
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https://colab.research.google.com/drive/110qV0zVen9O-zjd-wOuHOKURfR0lUfc7
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"""
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import numpy as np
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import skfuzzy as fuzz
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from skfuzzy import control as ctrl
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import matplotlib.pyplot as plt
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import streamlit as st
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# Create fuzzy variables & membership functions for lump
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lump_amount = ctrl.Antecedent(np.arange(0, 11, 1), 'lump_amount')
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lump_amount['1 to 3'] = fuzz.trimf(lump_amount.universe, [0, 0, 3])
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lump_amount['more than 3'] = fuzz.trimf(lump_amount.universe, [3, 11, 11])
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lump_hardness = ctrl.Antecedent(np.arange(0, 11, 1), 'lump_hardness')
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lump_hardness['soft'] = fuzz.trimf(lump_hardness.universe, [0, 0, 5])
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lump_hardness['solid'] = fuzz.trimf(lump_hardness.universe, [5, 11, 11])
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lump_size = ctrl.Antecedent(np.arange(0, 11, 1), 'lump_size')
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lump_size['small'] = fuzz.trimf(lump_size.universe, [0, 0, 5])
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lump_size['large'] = fuzz.trimf(lump_size.universe, [5, 11, 11])
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lump_location = ctrl.Antecedent(np.arange(0, 11, 1), 'lump_location')
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lump_location['localized'] = fuzz.trapmf(lump_location.universe, [0, 0, 3, 6])
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lump_location['widespread'] = fuzz.trapmf(lump_location.universe, [3, 6, 11, 11])
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lump_itch = ctrl.Antecedent(np.arange(0, 11, 1), 'lump_itch')
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lump_itch['not itchy'] = fuzz.trapmf(lump_itch.universe, [0, 0, 3, 6])
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lump_itch['itchy'] = fuzz.trapmf(lump_itch.universe, [3, 6, 7, 8])
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lump_itch['very itchy'] = fuzz.trapmf(lump_itch.universe, [7, 8, 11, 11])
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lump_pus = ctrl.Antecedent(np.arange(0, 2, 1), 'lump_pus')
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lump_pus['present'] = fuzz.trapmf(lump_pus.universe, [0, 0, 1, 1])
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lump_pus['absent'] = fuzz.trapmf(lump_pus.universe, [1, 1, 2, 2])
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# Create fuzzy variables for ulcer
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ulcer_location = ctrl.Antecedent(np.arange(0, 3, 1), 'ulcer_location')
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ulcer_location['feet or hands'] = fuzz.trapmf(ulcer_location.universe, [0, 0, 1, 1])
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ulcer_location['others'] = fuzz.trapmf(ulcer_location.universe, [1, 1, 2, 2])
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ulcer_edge = ctrl.Antecedent(np.arange(0, 2, 1), 'ulcer_edge')
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ulcer_edge['irregular'] = fuzz.trapmf(ulcer_edge.universe, [0, 0, 1, 1])
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ulcer_edge['regular'] = fuzz.trapmf(ulcer_edge.universe, [1, 1, 2, 2])
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ulcer_pain = ctrl.Antecedent(np.arange(0, 2, 1), 'ulcer_pain')
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ulcer_pain['painless'] = fuzz.trapmf(ulcer_pain.universe, [0, 0, 1, 1])
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ulcer_pain['painful'] = fuzz.trapmf(ulcer_pain.universe, [1, 1, 2, 2])
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# Create fuzzy variables for swollen limb
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swollen_limb = ctrl.Antecedent(np.arange(0, 2, 1), 'swollen_limb')
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swollen_limb['unilateral'] = fuzz.trapmf(swollen_limb.universe, [0, 0, 1, 1])
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swollen_limb['bilateral'] = fuzz.trapmf(swollen_limb.universe, [1, 1, 2, 2])
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swollen_location = ctrl.Antecedent(np.arange(0, 3, 1), 'swollen_location')
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swollen_location['localised'] = fuzz.trapmf(swollen_location.universe, [0, 0, 1, 1])
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swollen_location['widespread'] = fuzz.trapmf(swollen_location.universe, [1, 1, 2, 2])
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swelling_sensation = ctrl.Antecedent(np.arange(0, 2, 1), 'swelling_sensation')
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swelling_sensation['painless'] = fuzz.trapmf(swelling_sensation.universe, [0, 0, 1, 1])
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swelling_sensation['painful'] = fuzz.trapmf(swelling_sensation.universe, [1, 1, 2, 2])
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# Create fuzzy variables for patch
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patch_itch = ctrl.Antecedent(np.arange(0, 11, 1), 'patch_itch')
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patch_itch['itchy'] = fuzz.trimf(patch_itch.universe, [0, 0, 5])
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patch_itch['non-itchy'] = fuzz.trimf(patch_itch.universe, [5, 11, 11])
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patch_texture = ctrl.Antecedent(np.arange(0, 11, 1), 'patch_texture')
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patch_texture['smooth'] = fuzz.trimf(patch_texture.universe, [0, 0, 5])
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patch_texture['scaly'] = fuzz.trimf(patch_texture.universe, [5, 11, 11])
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patch_wetness = ctrl.Antecedent(np.arange(0, 11, 1), 'patch_wetness')
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patch_wetness['wet'] = fuzz.trimf(patch_wetness.universe, [0, 0, 5])
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patch_wetness['dry'] = fuzz.trimf(patch_wetness.universe, [5, 11, 11])
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# Create fuzzy variable for diagnosis
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diagnosis = ctrl.Consequent(np.arange(0, 11, 1), 'diagnosis')
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diagnosis['leprosy'] = fuzz.trapmf(diagnosis.universe, [0, 0, 2, 5])
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diagnosis['scabies'] = fuzz.trapmf(diagnosis.universe, [3, 5, 7, 8])
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diagnosis['lymphatic_filariasis'] = fuzz.trapmf(diagnosis.universe, [6, 8, 10, 10])
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# Fuzzy rules
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rule1 = ctrl.Rule(lump_amount['more than 3'] & lump_hardness['solid'] & lump_size['large'] & (patch_itch['non-itchy'] | patch_texture['scaly'] | patch_wetness['dry'], diagnosis['leprosy'])
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rule2 = ctrl.Rule(lump amount['more than 3'] & lump_hardness['soft'] & lump_size['small'] | lump_location['widespread'] | lump_itch['very itchy'] | lump_pus['present'], diagnosis['scabies'])
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rule3 = ctrl.Rule(swollen_limb['unilateral'] | swollen_location['localised'] | swelling_sensation['painful'], diagnosis['lymphatic filariasis'])
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# Create control system
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diagnosis_ctrl = ctrl.ControlSystem([rule1, rule2, rule3])
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# Create control system simulator
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diagnosis_fuzzy = ctrl.ControlSystemSimulation(diagnosis_ctrl)
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import streamlit as st
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# Create the user interface
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st.title("Disease Diagnosis")
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lump_amount = st.selectbox("Lump amount", ["1 to 3", "more than 3"])
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lump_hardness = st.selectbox("Lump hardness", ["soft", "solid"])
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lump_size = st.selectbox("Lump size", ["small", "large"])
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lump_location = st.text_input("Lump location", ["localised", "widespread"])
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lump_itch = st.selectbox("Lump itch", ["not itchy", "slightly itchy", "very itchy"])
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lump_pus = st.selectbox("Lump pus", ["absent", "present"])
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ulcer_location = st.selectbox("Ulcer location", ["feet", "hands", "other"])
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ulcer_edge = st.selectbox("Ulcer edge", ["regular", "irregular"])
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ulcer_pain = st.selectbox("Ulcer pain", ["painful", "painless"])
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swollen_limb = st.selectbox("Swollen limb", ["unilateral", "bilateral"])
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swollen_location = st.text_input("Swollen location", ["localised", "widespread"])
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swelling_sensation = st.selectbox("Swelling sensation", ["painful", "painless"])
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patch_itch = st.selectbox("Patch itch", ["non-itchy", "itchy"])
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patch_texture = st.selectbox("Patch texture", ["smooth", "scaly"])
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patch_wetness = st.selectbox("Patch wetness", ["dry", "wet"])
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if st.button("Diagnose"):
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diagnosis = diagnose(lump_amount, lump_hardness, lump_size, lump_location, lump_itch, lump_pus, ulcer_location, ulcer_edge, ulcer_pain, swollen_limb, swollen_location, swelling_sensation, patch_itch, patch_texture, patch_wetness)
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st.success(diagnosis)
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# Print the diagnosis
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print(diagnosis_fuzzy.output['diagnosis'])
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# Defuzzification
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# Pass crisp input values to the control system and get the diagnosis
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diagnosis_fuzzy.input['lump_amount'] = 5
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diagnosis_fuzzy.input['lump_hardness'] = 7
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diagnosis_fuzzy.input['lump_size'] = 6
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diagnosis_fuzzy.input['lump_location'] = 8
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diagnosis_fuzzy.input['lump_itch'] = 9
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diagnosis_fuzzy.input['lump_pus'] = 1
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diagnosis_fuzzy.input['swollen_limb'] = 1
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diagnosis_fuzzy.input['swollen_location'] = 10
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diagnosis_fuzzy.input['swelling_sensation'] = 8
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diagnosis_fuzzy.input['swelling_color'] = 7
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diagnosis_fuzzy.compute()
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# Print the diagnosis
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print(diagnosis_fuzzy.output['diagnosis'])
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