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

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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

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

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