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| # Author: Hanife Kaptan | |
| # Versions: python==3.11.2, xgboost==2.1.1, streamlit==1.36.0, scikit-learn==1.4.2, pandas==2.2.3 | |
| import pandas as pd | |
| from sklearn.compose import ColumnTransformer | |
| from sklearn.preprocessing import OneHotEncoder, StandardScaler | |
| from sklearn.pipeline import Pipeline | |
| from xgboost import XGBClassifier | |
| import streamlit as st | |
| df = pd.read_csv("akcigerKanseri.csv") | |
| X = df.drop("lung_cancer", axis=1) | |
| y = df["lung_cancer"] | |
| preprocess = ColumnTransformer( | |
| transformers = [("cat", OneHotEncoder(), ["gender"]), ("num", (StandardScaler()), ["age"])], remainder = "passthrough" | |
| ) | |
| my_model = XGBClassifier() | |
| pipe = Pipeline(steps=[("preprocessor", preprocess), ("model", my_model)]) | |
| pipe.fit(X, y) | |
| def lung_cancer(gender, age, smoking, yellow_fingers, anxiety, peer_pressure, | |
| chronic_disease, fatigue, allergy, wheezing, alcohol_consuming, | |
| coughing, shortness_of_breath, swallowing_difficulty, chest_pain): | |
| input_data = pd.DataFrame({"gender": [gender], | |
| "age": [age], | |
| "smoking": [smoking], | |
| "yellow_fingers": [yellow_fingers], | |
| "anxiety": [anxiety], | |
| "peer_pressure": [peer_pressure], | |
| "chronic_disease": [chronic_disease], | |
| "fatigue": [fatigue], | |
| "allergy": [allergy], | |
| "wheezing": [wheezing], | |
| "alcohol_consuming": [alcohol_consuming], | |
| "coughing": [coughing], | |
| "shortness_of_breath": [shortness_of_breath], | |
| "swallowing_difficulty": [swallowing_difficulty], | |
| "chest_pain": [chest_pain]}) | |
| prediction = pipe.predict(input_data)[0] | |
| return prediction | |
| st.title("Akciğer Kanseri Tespiti :hospital:: @hanifekaptan") | |
| st.write("Kendinizle ilgili doğru seçenekleri seçiniz.") | |
| gender = st.radio("Gender", ["Male", "Female"]) # male ve female 1 ve 0 değerlerine dönüştürülecek | |
| age = st.number_input("Age", 0, 100) | |
| smoking = st.radio("Smoking", [True, False]) | |
| yellow_fingers = st.radio("Yellow Fingers", [True, False]) | |
| anxiety = st.radio("Anxiety", [True, False]) | |
| peer_pressure = st.radio("Peer Pressure", [True, False]) | |
| chronic_disease = st.radio("Chronic Disease", [True, False]) | |
| fatigue = st.radio("Fatigue", [True, False]) | |
| allergy = st.radio("Allergy", [True, False]) | |
| wheezing = st.radio("Wheezing", [True, False]) | |
| alcohol_consuming = st.radio("Alcohol Consuming", [True, False]) | |
| coughing = st.radio("Coughing", [True, False]) | |
| shortness_of_breath = st.radio("Shortness of Breath", [True, False]) | |
| swallowing_difficulty = st.radio("Swallowing Difficulty", [True, False]) | |
| chest_pain = st.radio("Chest Pain", [True, False]) | |
| if st.button("Predict"): | |
| pred = lung_cancer(gender, age, smoking, yellow_fingers, anxiety, peer_pressure, | |
| chronic_disease, fatigue, allergy, wheezing, alcohol_consuming, | |
| coughing, shortness_of_breath, swallowing_difficulty, chest_pain) | |
| if pred == 1: | |
| st.write("Result: Positive") | |
| elif pred == 0: | |
| st.write("Result: Negative") |