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Prototype-1.csv

@@ -0,0 +1,42 @@
+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,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,prognosis
+1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Fungal infection
+0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Allergy
+0,0,0,0,0,0,0,1,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,GERD
+1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Chronic cholestasis
+1,1,0,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Drug Reaction
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+0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Diabetes 
+0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Gastroenteritis
+0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Bronchial Asthma
+0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Hypertension 
+0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Migraine
+0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Cervical spondylosis
+0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Paralysis (brain hemorrhage)
+1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Jaundice
+0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Malaria
+1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Chicken pox
+0,1,0,0,0,1,1,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Dengue
+0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Typhoid
+0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,1,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,hepatitis A
+1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Hepatitis B
+0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Hepatitis C
+0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Hepatitis D
+0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,1,1,0,0,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Hepatitis E
+0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Alcoholic hepatitis
+0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,1,1,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0,1,1,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,Tuberculosis
+0,0,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Common Cold
+0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Pneumonia
+0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Dimorphic hemmorhoids(piles)
+0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Heart attack
+0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,Varicose veins
+0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Hypothyroidism
+0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Hyperthyroidism
+0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,Hypoglycemia
+0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,Osteoarthristis
+0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,Arthritis
+0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(vertigo) Paroymsal  Positional Vertigo
+0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,Acne
+0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Urinary tract infection
+0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,Psoriasis
+0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,Impetigo

diseaseprediction.py

@@ -0,0 +1,314 @@
+
+from tkinter import *
+import numpy as np
+import pandas as pd
+
+#List of the symptoms is listed here in list l1.
+
+l1=['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','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']
+
+#List of Diseases is listed in list disease.
+
+disease=['Fungal infection','Allergy','GERD','Chronic cholestasis','Drug Reaction',
+'Peptic ulcer diseae','AIDS','Diabetes','Gastroenteritis','Bronchial Asthma','Hypertension',
+' Migraine','Cervical spondylosis',
+'Paralysis (brain hemorrhage)','Jaundice','Malaria','Chicken pox','Dengue','Typhoid','hepatitis A',
+'Hepatitis B','Hepatitis C','Hepatitis D','Hepatitis E','Alcoholic hepatitis','Tuberculosis',
+'Common Cold','Pneumonia','Dimorphic hemmorhoids(piles)',
+'Heartattack','Varicoseveins','Hypothyroidism','Hyperthyroidism','Hypoglycemia','Osteoarthristis',
+'Arthritis','(vertigo) Paroymsal  Positional Vertigo','Acne','Urinary tract infection','Psoriasis',
+'Impetigo']
+
+l2=[]
+
+for i in range(0,len(l1)):
+    l2.append(0)
+
+df=pd.read_csv("Prototype.csv")
+
+#Replace the values in the imported file by pandas by the inbuilt function replace in pandas.
+
+df.replace({'prognosis':{'Fungal infection':0,'Allergy':1,'GERD':2,'Chronic cholestasis':3,'Drug Reaction':4,
+'Peptic ulcer diseae':5,'AIDS':6,'Diabetes ':7,'Gastroenteritis':8,'Bronchial Asthma':9,'Hypertension ':10,
+'Migraine':11,'Cervical spondylosis':12,
+'Paralysis (brain hemorrhage)':13,'Jaundice':14,'Malaria':15,'Chicken pox':16,'Dengue':17,'Typhoid':18,'hepatitis A':19,
+'Hepatitis B':20,'Hepatitis C':21,'Hepatitis D':22,'Hepatitis E':23,'Alcoholic hepatitis':24,'Tuberculosis':25,
+'Common Cold':26,'Pneumonia':27,'Dimorphic hemmorhoids(piles)':28,'Heart attack':29,'Varicose veins':30,'Hypothyroidism':31,
+'Hyperthyroidism':32,'Hypoglycemia':33,'Osteoarthristis':34,'Arthritis':35,
+'(vertigo) Paroymsal  Positional Vertigo':36,'Acne':37,'Urinary tract infection':38,'Psoriasis':39,
+'Impetigo':40}},inplace=True)
+
+#check the df 
+#print(df.head())
+
+X= df[l1]
+
+#print(X)
+
+y = df[["prognosis"]]
+np.ravel(y)
+
+#print(y)
+
+#Read a csv named Testing.csv
+
+tr=pd.read_csv("Prototype-1.csv")
+
+#Use replace method in pandas.
+
+tr.replace({'prognosis':{'Fungal infection':0,'Allergy':1,'GERD':2,'Chronic cholestasis':3,'Drug Reaction':4,
+'Peptic ulcer diseae':5,'AIDS':6,'Diabetes ':7,'Gastroenteritis':8,'Bronchial Asthma':9,'Hypertension ':10,
+'Migraine':11,'Cervical spondylosis':12,
+'Paralysis (brain hemorrhage)':13,'Jaundice':14,'Malaria':15,'Chicken pox':16,'Dengue':17,'Typhoid':18,'hepatitis A':19,
+'Hepatitis B':20,'Hepatitis C':21,'Hepatitis D':22,'Hepatitis E':23,'Alcoholic hepatitis':24,'Tuberculosis':25,
+'Common Cold':26,'Pneumonia':27,'Dimorphic hemmorhoids(piles)':28,'Heart attack':29,'Varicose veins':30,'Hypothyroidism':31,
+'Hyperthyroidism':32,'Hypoglycemia':33,'Osteoarthristis':34,'Arthritis':35,
+'(vertigo) Paroymsal  Positional Vertigo':36,'Acne':37,'Urinary tract infection':38,'Psoriasis':39,
+'Impetigo':40}},inplace=True)
+
+X_test= tr[l1]
+y_test = tr[["prognosis"]]
+
+#print(y_test)
+
+np.ravel(y_test)
+
+def DecisionTree():
+
+    from sklearn import tree
+
+    clf3 = tree.DecisionTreeClassifier() 
+    clf3 = clf3.fit(X,y)
+
+    from sklearn.metrics import accuracy_score
+    y_pred=clf3.predict(X_test)
+    print(accuracy_score(y_test, y_pred))
+    print(accuracy_score(y_test, y_pred,normalize=False))
+
+    psymptoms = [Symptom1.get(),Symptom2.get(),Symptom3.get(),Symptom4.get(),Symptom5.get()]
+
+    for k in range(0,len(l1)):
+        for z in psymptoms:
+            if(z==l1[k]):
+                l2[k]=1
+
+    inputtest = [l2]
+    predict = clf3.predict(inputtest)
+    predicted=predict[0]
+
+    h='no'
+    for a in range(0,len(disease)):
+        if(predicted == a):
+            h='yes'
+            break
+
+
+    if (h=='yes'):
+        t1.delete("1.0", END)
+        t1.insert(END, disease[a])
+    else:
+        t1.delete("1.0", END)
+        t1.insert(END, "Not Found")
+
+
+def randomforest():
+    from sklearn.ensemble import RandomForestClassifier
+    clf4 = RandomForestClassifier()
+    clf4 = clf4.fit(X,np.ravel(y))
+
+    # calculating accuracy 
+    from sklearn.metrics import accuracy_score
+    y_pred=clf4.predict(X_test)
+    print(accuracy_score(y_test, y_pred))
+    print(accuracy_score(y_test, y_pred,normalize=False))
+    
+    psymptoms = [Symptom1.get(),Symptom2.get(),Symptom3.get(),Symptom4.get(),Symptom5.get()]
+
+    for k in range(0,len(l1)):
+        for z in psymptoms:
+            if(z==l1[k]):
+                l2[k]=1
+
+    inputtest = [l2]
+    predict = clf4.predict(inputtest)
+    predicted=predict[0]
+
+    h='no'
+    for a in range(0,len(disease)):
+        if(predicted == a):
+            h='yes'
+            break
+
+    if (h=='yes'):
+        t2.delete("1.0", END)
+        t2.insert(END, disease[a])
+    else:
+        t2.delete("1.0", END)
+        t2.insert(END, "Not Found")
+
+
+def NaiveBayes():
+    from sklearn.naive_bayes import GaussianNB
+    gnb = GaussianNB()
+    gnb=gnb.fit(X,np.ravel(y))
+
+    from sklearn.metrics import accuracy_score
+    y_pred=gnb.predict(X_test)
+    print(accuracy_score(y_test, y_pred))
+    print(accuracy_score(y_test, y_pred,normalize=False))
+
+    psymptoms = [Symptom1.get(),Symptom2.get(),Symptom3.get(),Symptom4.get(),Symptom5.get()]
+    for k in range(0,len(l1)):
+        for z in psymptoms:
+            if(z==l1[k]):
+                l2[k]=1
+
+    inputtest = [l2]
+    predict = gnb.predict(inputtest)
+    predicted=predict[0]
+
+    h='no'
+    for a in range(0,len(disease)):
+        if(predicted == a):
+            h='yes'
+            break
+
+    if (h=='yes'):
+        t3.delete("1.0", END)
+        t3.insert(END, disease[a])
+    else:
+        t3.delete("1.0", END)
+        t3.insert(END, "Not Found")
+
+# GUI stuff..............................................................................
+        
+root = Tk()
+root.configure(background='white')
+
+Symptom1 = StringVar()
+Symptom1.set("Select Here")
+
+Symptom2 = StringVar()
+Symptom2.set("Select Here")
+
+Symptom3 = StringVar()
+Symptom3.set("Select Here")
+
+Symptom4 = StringVar()
+Symptom4.set("Select Here")
+
+Symptom5 = StringVar()
+Symptom5.set("Select Here")
+
+Name = StringVar()
+
+w2 = Label(root, justify=LEFT, text="Disease Predictor using Machine Learning", fg="Blue", bg="White")
+w2.config(font=("Times",30,"bold "))
+w2.grid(row=1, column=0, columnspan=2, padx=100)
+w2 = Label(root, justify=LEFT, text="A Project by C N G", fg="Black", bg="Grey")
+w2.config(font=("Times",30,"bold "))
+w2.grid(row=2, column=0, columnspan=2, padx=100)
+
+NameLb = Label(root, text="Name of the Patient", fg="Black", bg="grey")
+NameLb.config(font=("Times",15,"bold italic"))
+NameLb.grid(row=6, column=0, pady=15, sticky=W)
+
+S1Lb = Label(root, text="Symptom 1", fg="Black", bg="grey")
+S1Lb.config(font=("Times",15,"bold italic"))
+S1Lb.grid(row=7, column=0, pady=10, sticky=W)
+
+S2Lb = Label(root, text="Symptom 2", fg="Black", bg="grey")
+S2Lb.config(font=("Times",15,"bold italic"))
+S2Lb.grid(row=8, column=0, pady=10, sticky=W)
+
+S3Lb = Label(root, text="Symptom 3", fg="Black",bg="grey")
+S3Lb.config(font=("Times",15,"bold italic"))
+S3Lb.grid(row=9, column=0, pady=10, sticky=W)
+
+S4Lb = Label(root, text="Symptom 4", fg="Black", bg="grey")
+S4Lb.config(font=("Times",15,"bold italic"))
+S4Lb.grid(row=10, column=0, pady=10, sticky=W)
+
+S5Lb = Label(root, text="Symptom 5", fg="Black", bg="grey")
+S5Lb.config(font=("Times",15,"bold italic"))
+S5Lb.grid(row=11, column=0, pady=10, sticky=W)
+
+
+lrLb = Label(root, text="DecisionTree", fg="white", bg="red")
+lrLb.config(font=("Times",15,"bold italic"))
+lrLb.grid(row=15, column=0, pady=10,sticky=W)
+
+destreeLb = Label(root, text="RandomForest", fg="Red", bg="silver")
+destreeLb.config(font=("Times",15,"bold italic"))
+destreeLb.grid(row=17, column=0, pady=10, sticky=W)
+
+ranfLb = Label(root, text="NaiveBayes", fg="White", bg="green")
+ranfLb.config(font=("Times",15,"bold italic"))
+ranfLb.grid(row=19, column=0, pady=10, sticky=W)
+
+OPTIONS = sorted(l1)
+
+NameEn = Entry(root, textvariable=Name)
+NameEn.grid(row=6, column=1)
+
+S1 = OptionMenu(root, Symptom1,*OPTIONS)
+S1.grid(row=7, column=1)
+
+S2 = OptionMenu(root, Symptom2,*OPTIONS)
+S2.grid(row=8, column=1)
+
+S3 = OptionMenu(root, Symptom3,*OPTIONS)
+S3.grid(row=9, column=1)
+
+S4 = OptionMenu(root, Symptom4,*OPTIONS)
+S4.grid(row=10, column=1)
+
+S5 = OptionMenu(root, Symptom5,*OPTIONS)
+S5.grid(row=11, column=1)
+
+
+dst = Button(root, text="Prediction 1", command=DecisionTree,bg="Red",fg="Black")
+dst.config(font=("Times",15,"bold italic"))
+dst.grid(row=8, column=3,padx=10)
+
+rnf = Button(root, text="Prediction 2", command=randomforest,bg="White",fg="Black")
+rnf.config(font=("Times",15,"bold italic"))
+rnf.grid(row=9, column=3,padx=10)
+
+lr = Button(root, text="Prediction 3", command=NaiveBayes,bg="Green",fg="Black")
+lr.config(font=("Times",15,"bold italic"))
+lr.grid(row=10, column=3,padx=10)
+
+
+t1 = Text(root, height=1, width=40,bg="white",fg="red")
+t1.config(font=("Times",15,"bold italic"))
+t1.grid(row=15, column=1, padx=10)
+
+t2 = Text(root, height=1, width=40,bg="White",fg="Blue")
+t2.config(font=("Times",15,"bold italic"))
+t2.grid(row=17, column=1 , padx=10)
+
+t3 = Text(root, height=1, width=40,bg="white",fg="white")
+t3.config(font=("Times",15,"bold italic"))
+t3.grid(row=19, column=1 , padx=10)
+
+root.mainloop()