mnokno / vectorbornediseaseprediction

Vector borne disease prediction based on patient symptoms using an ensemble of CatBoots, XGBoost and LGBM.

VectorBorneDiseasePrediction

Vector borne disease prediction based on patient symptoms using an ensemble of CatBoots, XGBoost and LGBM.

The model predicts these 11 diseases:

• Chikungunya
• Dengue
• Zika
• Yellow Fever
• Raft Valley Fever
• West Nile Fever
• Malaria
• Tungiasis
• Japanese Encephalitis
• Plague
• Lyme Disease

The model takes into consideration the following symptom:
sudden_fever headache mouth_bleed nose_bleedmuscle_pain joint_pain vomiting rash diarrhea hypotension pleural_effusion ascites gastro_bleeding swelling nausea chills myalgia digestion_trouble fatigue skin_lesions stomach_pain orbital_pain neck_pain weakness back_pain weight_loss gum_bleed jaundice coma diziness inflammation red_eyes loss_of_appetite urination_loss slow_heart_rate abdominal_pain light_sensitivity yellow_skin yellow_eyes facial_distortion microcephaly rigor bitter_tongue convulsion anemia cocacola_urine hypoglycemia prostraction hyperpyrexia stiff_neck irritability confusion tremor paralysis lymph_swells breathing_restriction toe_inflammation finger_inflammation lips_irritation itchiness ulcers toenail_loss speech_problem bullseye_rash

Kaggle Competition: https://www.kaggle.com/competitions/playground-series-s3e13
Kaggle Notebook: https://www.kaggle.com/code/mnokno/vectorbornediseaseprediction