Baselight

AV JanataHack Healthcare Hackathon II

Analytic Vidya Janatahack Healthcare Hackathon Dataset

@kaggle.blessondensil294_av_janatahack_healthcare_hackathon_ii

Train
@kaggle.blessondensil294_av_janatahack_healthcare_hackathon_ii.train

  • 4.74 MB
  • 318438 rows
  • 18 columns
case_id

Case Id

hospital_code

Hospital Code

hospital_type_code

Hospital Type Code

city_code_hospital

City Code Hospital

hospital_region_code

Hospital Region Code

available_extra_rooms_in_hospital

Available Extra Rooms In Hospital

department

Department

ward_type

Ward Type

ward_facility_code

Ward Facility Code

bed_grade

Bed Grade

patientid

Patientid

city_code_patient

City Code Patient

type_of_admission

Type Of Admission

severity_of_illness

Severity Of Illness

visitors_with_patient

Visitors With Patient

age

Age

admission_deposit

Admission Deposit

stay

Stay

18c3Z3radiotherapyRF2313977EmergencyExtreme251-6049110-10
22c5Z2radiotherapySF2313977TraumaExtreme251-60595441-50
310e1X2anesthesiaSE2313977TraumaExtreme251-60474531-40
426b2Y2radiotherapyRD2313977TraumaExtreme251-60727241-50
526b2Y2radiotherapySD2313977TraumaExtreme251-60555841-50
623a6X2anesthesiaSF2313977TraumaExtreme251-60444911-20
732f9Y1radiotherapySB3313977EmergencyExtreme251-6061670-10
823a6X4radiotherapyQF3313977TraumaExtreme251-60557141-50
91d10Y2gynecologyRB4313977TraumaExtreme251-60722351-60
1010e1X2gynecologySE3313977TraumaExtreme251-60605631-40

CREATE TABLE train (
  "case_id" BIGINT,
  "hospital_code" BIGINT,
  "hospital_type_code" VARCHAR,
  "city_code_hospital" BIGINT,
  "hospital_region_code" VARCHAR,
  "available_extra_rooms_in_hospital" BIGINT,
  "department" VARCHAR,
  "ward_type" VARCHAR,
  "ward_facility_code" VARCHAR,
  "bed_grade" DOUBLE,
  "patientid" BIGINT,
  "city_code_patient" DOUBLE,
  "type_of_admission" VARCHAR,
  "severity_of_illness" VARCHAR,
  "visitors_with_patient" BIGINT,
  "age" VARCHAR,
  "admission_deposit" DOUBLE,
  "stay" VARCHAR
);

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