Hospital Antibiotics Usage

Study of antibiotics usage in a hospital in Myanmar

@kaggle.minsithu_hospital_antibiotics_usage

Table List

1 table(24.48 KB)

Hopsital Dataset

@kaggle.minsithu_hospital_antibiotics_usage.hopsital_dataset

24.48 KB
833 rows
10 columns

age Age	date_of_data_entry Date Of Data Entry	gender Gender	diagnosis Diagnosis	name_of_drug Name Of Drug	dosage_gram Dosage (gram)	route Route	frequency Frequency	duration_days Duration (days)	indication Indication
85	19/12/2019 14:41:49	Female	ccf, hypertension, ida, ckd(stage 5), ?icm,	ceftriaxone	1	IV	BD	7	icm
87	19/12/2019 16:35:25	Female	pad(lt u.l), be amputation,/post op, akt	ceftriaxone	1	IV	BD	1	post op
82	19/12/2019 15:48:49	Male	type-2dm, ihd, col, copd, ht	ofloxacin	0.4	IV	BD	3	abd distension with leg swelling
82	19/12/2019 15:50:33	Male	type-2 dm, ihd, col, copd, ht	cefipime	1	IV	BD	5	abd distension with leg swelling
82	19/12/2019 15:52:20	Male	type-2 dm, ihd, col, copd, ht	azithromycin	0.5	Oral	OD	3	abd distension with leg swelling
82	19/12/2019 15:53:30	Male	type-2 dm, ihd, col, copd, ht	ceftazidime	1	IV	TDS	3	abd distension with leg swelling
55	19/12/2019 16:00:41	Female	abd tb	ceftriaxone	1	IV	BD	3	abd tb
55	19/12/2019 16:02:32	Female	abd tb	septrin	0.96	Oral	OD	1	abd tb
57	19/12/2019 16:28:56	Male	abscess on chin, uncontrolled type 2 dm, koch's lung	co-amoxiclav	1.2	IV	TDS	4	abscess on chin
57	19/12/2019 16:31:43	Male	abscess on chin, uncontrolled type 2 dm, koch's lung	clindamycin	0.2	Oral	TDS	7	abscess on chin


CREATE TABLE hopsital_dataset (
  "age" VARCHAR,
  "date_of_data_entry" VARCHAR,
  "gender" VARCHAR,
  "diagnosis" VARCHAR,
  "name_of_drug" VARCHAR,
  "dosage_gram" VARCHAR,
  "route" VARCHAR,
  "frequency" VARCHAR,
  "duration_days" VARCHAR,
  "indication" VARCHAR
);