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Health and Family welfare

Get data of Performance of Key HMIS Indicators for the upto district level. Main HMIS indicators for Other are Adult Female Inpatients to Total Adult Inpatient, Children Inpatient to Total Inpatient, Female Inpatient Deaths to Total Inpatient Deaths, IPD, OPD, Major Operations, Hysterectomy Surgeries , Ayush OPD, Dental OPD, HIV Positive, Plasmodium Vivax test positive and Plasmodium Falciparum test positive.
Get data of Performance of Key HMIS Indicators for the upto district level.
Get data of Performance of Key HMIS Indicators for the upto district level. Main HMIS indicators for Family Planning are Vasectomies Conducted, Tubectomies Conducted, sterilisation, Sterlisation (Tubectomies and Vasectomies) conducted at PHC, Sterlisation (Tubectomies and Vasectomies) conducted at CHC, Sterlisation (Tubectomies and Vasectomies) conducted at SDH/DH, Laparoscopic sterlisations , cases of deaths following Sterlisation, IUCD Insertions done, PP IUCD Insertions done, Oral Pills distributed, Condom pieces distributed and Centchroman Pills distributed.
Get data of Performance of Key HMIS Indicators for the upto district level. Main HMIS indicators for Child Health are reported live births, Reported Live Births to Total Deliveries, reported Still Births, Newborns weighed at birth, Infants given OPV 0 (Birth Dose), Infants given BCG, Infants given DPT, Infants given Pentavalent, Infants given Measles, fully immunized children, given Vitamin - A, Diptheria in Children, Polio in Children, Measles in Children, Diarrhoea and dehydration in Children, Infant Deaths reported, Deaths due to Sepsis, Deaths due to Asphyxia , Deaths due to Fever.
Get data of Performance of Key HMIS Indicators for the upto district level.
Symptoms and diseases dataset
Database of Doctors in India, segregated by location, area of specialization, etc. (Reach out to doctors directly to share information from time to time. Doctors Registration Office, Indian Medical Council)
Registered Doctors list of West Bengal
Data collected under Integrated Disease Surveillance Program (IDSP). Particulary S, P and L form (Analyse teh pattern for getting relation between different datasets collected in IDSO)
I want to get huge amount of datasets related to healthcare sector. (I will apply machine learning and AI algorithms to these datasets in order to generate results that can alert us people of which area, age group, gender are likely to have which disease and hence we can plan for the future)

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