GitHub - Audency/Predict-cervical-cancer-: This study uses machine learning models to predict in-hospital mortality among patients with cervical cancer in this region, aiming to identify key predictive factors that can support the implementation of timely clinical interventions.

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Banco_Internacao.csv		Banco_Internacao.csv
Prediçao_Mort_Cancer_Mato_Groso.ipynb		Prediçao_Mort_Cancer_Mato_Groso.ipynb
all_roc_auc_models_300dpi.png		all_roc_auc_models_300dpi.png
bar-shap_y4zMJtVk.png		bar-shap_y4zMJtVk.png
bsw-shape_rm4JgP48.png		bsw-shape_rm4JgP48.png
heatmap_cat_300dpi.png		heatmap_cat_300dpi.png
heatmap_num_300dpi.png		heatmap_num_300dpi.png
roc_auc_CatBoost_300dpi.png		roc_auc_CatBoost_300dpi.png
roc_auc_LGBM_300dpi.png		roc_auc_LGBM_300dpi.png
roc_auc_LogisticRegression_300dpi.png		roc_auc_LogisticRegression_300dpi.png
roc_auc_RandomForest_300dpi.png		roc_auc_RandomForest_300dpi.png
roc_auc_XGBoost_300dpi.png		roc_auc_XGBoost_300dpi.png
summary_th_50.csv		summary_th_50.csv

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This study uses machine learning models to predict in-hospital mortality among patients with cervical cancer in this region, aiming to identify key predictive factors that can support the implementation of timely clinical interventions.