Predictive modeling of stroke occurrence using Python for improved risk assessment

Pucar, Đorđe; Šimović, Vladimir

doi:10.5937/jpmnt12-50921

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Journal article M52

Predictive modeling of stroke occurrence using Python for improved risk assessment

Đorđe Pucar, Vladimir Šimović

Journal of Process Management and New Technologies, 12(1-2), 110–120, 2024

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Pucar, Đ., & Šimović, V. (2024). Predictive modeling of stroke occurrence using Python for improved risk assessment. Journal of Process Management and New Technologies, 12(1-2), 110–120. https://doi.org/10.5937/jpmnt12-50921

@article{Pucar2024Predictive,
  author       = {Pucar, {\DJ}or{\dj}e and {\v{S}}imovi{\'c}, Vladimir},
  title        = {Predictive modeling of stroke occurrence using Python for improved risk assessment},
  journal      = {Journal of Process Management and New Technologies},
  year         = {2024},
  volume       = {12},
  number       = {1-2},
  pages        = {110--120},
  doi          = {10.5937/jpmnt12-50921},
  url          = {https://nir.mef.edu.rs/download/downloadPDF/4b7aa8ce-ecb0-4a41-ad6e-c3067c4b7bb9.pdf},
  note         = {Available online}
}

TY  - JOUR
AU  - Pucar, Đorđe
AU  - Šimović, Vladimir
TI  - Predictive modeling of stroke occurrence using Python for improved risk assessment
JO  - Journal of Process Management and New Technologies
PY  - 2024
VL  - 12
IS  - 1-2
SP  - 110
EP  - 120
DO  - 10.5937/jpmnt12-50921
UR  - https://nir.mef.edu.rs/repository/handle/b9ba3ee3-afd6-468a-be8b-a3fb41e9a158
ER  -

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Journal: Journal of Process Management and New Technologies
Volume: 12
Issue: 1-2
Pages: 110–120
Year: 2024
DOI: 10.5937/jpmnt12-50921

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Predictive modeling of stroke occurrence using Python for improved risk assessment

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