Edit model card

human-disease-prediction

Try it on 🤗 Spaces

import joblib
import numpy
from huggingface_hub import hf_hub_download

model = joblib.load(
    hf_hub_download("AWeirdDev/human-disease-prediction", "sklearn_model.joblib")
)

model.predict(
  numpy.array([your_data])
)

The your_data variable should be a vector of zeros and ones.

A zero means "False," and a one means "True."

Create a vector that pairs with the following symptoms, then the model will predict what disease it might be.

['itching',
 'skin_rash',
 'nodal_skin_eruptions',
 'continuous_sneezing',
 'shivering',
 'chills',
 'joint_pain',
 'stomach_pain',
 'acidity',
 'ulcers_on_tongue',
 'muscle_wasting',
 'vomiting',
 'burning_micturition',
 'spotting_ urination',
 'fatigue',
 'weight_gain',
 'anxiety',
 'cold_hands_and_feets',
 'mood_swings',
 'weight_loss',
 'restlessness',
 'lethargy',
 'patches_in_throat',
 'irregular_sugar_level',
 'cough',
 'high_fever',
 'sunken_eyes',
 'breathlessness',
 'sweating',
 'dehydration',
 'indigestion',
 'headache',
 'yellowish_skin',
 'dark_urine',
 'nausea',
 'loss_of_appetite',
 'pain_behind_the_eyes',
 'back_pain',
 'constipation',
 'abdominal_pain',
 'diarrhoea',
 'mild_fever',
 'yellow_urine',
 'yellowing_of_eyes',
 'acute_liver_failure',
 'fluid_overload',
 'swelling_of_stomach',
 'swelled_lymph_nodes',
 'malaise',
 'blurred_and_distorted_vision',
 'phlegm',
 'throat_irritation',
 'redness_of_eyes',
 'sinus_pressure',
 'runny_nose',
 'congestion',
 'chest_pain',
 'weakness_in_limbs',
 'fast_heart_rate',
 'pain_during_bowel_movements',
 'pain_in_anal_region',
 'bloody_stool',
 'irritation_in_anus',
 'neck_pain',
 'dizziness',
 'cramps',
 'bruising',
 'obesity',
 'swollen_legs',
 'swollen_blood_vessels',
 'puffy_face_and_eyes',
 'enlarged_thyroid',
 'brittle_nails',
 'swollen_extremeties',
 'excessive_hunger',
 'extra_marital_contacts',
 'drying_and_tingling_lips',
 'slurred_speech',
 'knee_pain',
 'hip_joint_pain',
 'muscle_weakness',
 'stiff_neck',
 'swelling_joints',
 'movement_stiffness',
 'spinning_movements',
 'loss_of_balance',
 'unsteadiness',
 'weakness_of_one_body_side',
 'loss_of_smell',
 'bladder_discomfort',
 'foul_smell_of urine',
 'continuous_feel_of_urine',
 'passage_of_gases',
 'internal_itching',
 'toxic_look_(typhos)',
 'depression',
 'irritability',
 'muscle_pain',
 'altered_sensorium',
 'red_spots_over_body',
 'belly_pain',
 'abnormal_menstruation',
 'dischromic _patches',
 'watering_from_eyes',
 'increased_appetite',
 'polyuria',
 'family_history',
 'mucoid_sputum',
 'rusty_sputum',
 'lack_of_concentration',
 'visual_disturbances',
 'receiving_blood_transfusion',
 'receiving_unsterile_injections',
 'coma',
 'stomach_bleeding',
 'distention_of_abdomen',
 'history_of_alcohol_consumption',
 'fluid_overload.1',
 'blood_in_sputum',
 'prominent_veins_on_calf',
 'palpitations',
 'painful_walking',
 'pus_filled_pimples',
 'blackheads',
 'scurring',
 'skin_peeling',
 'silver_like_dusting',
 'small_dents_in_nails',
 'inflammatory_nails',
 'blister',
 'red_sore_around_nose',
 'yellow_crust_ooze']

Accuracy

It has been reported as 1.0 (100%), but I don't believe it.

Downloads last month
68
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Space using AWeirdDev/human-disease-prediction 1

Evaluation results