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Maternal healthMaternal health issues now continue to be a major challenge for the world over. Early risk predictionPrediction willRisk prediction help in timely management and in improving the outcomes. This study proposes a pioneer smart contract system providing machine learningMachine learning (ML) integration for predicting maternal healthMaternal health risk in a data-secure way. Under this framework, patient data such as age, blood pressure, blood sugar, body temperature, and heart rate can be classified into different risk levels with the help of the conventional ML algorithms. By providing dataSecurity securityData security, blockchainBlockchain technology with the AES encryption guarantees secure communication and storage, thus contributing to transparency and integrity of the data. Therefore, this study takes an extra step toward moving healthcare technologyHealthcare technology forward by merging robust ML predictive capabilities with cutting-edge decentralized securitySecurity.

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Blockchain-Based Secure Maternal Health Risk Prediction Using Machine Learning

  • 会议论文

  • 发表日期：

    2026年

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  • Aditya Pandey,
  • Bansi Prajapati,
  • Dev Mehta,
  • Janam Patel,
  • Chinmay Trivedi,
  • Lakshin Pathak,
  • Rajesh Gupta,
  • Sudeep Tanwar

摘要

Maternal healthMaternal health issues now continue to be a major challenge for the world over. Early risk predictionPrediction willRisk prediction help in timely management and in improving the outcomes. This study proposes a pioneer smart contract system providing machine learningMachine learning (ML) integration for predicting maternal healthMaternal health risk in a data-secure way. Under this framework, patient data such as age, blood pressure, blood sugar, body temperature, and heart rate can be classified into different risk levels with the help of the conventional ML algorithms. By providing dataSecurity securityData security, blockchainBlockchain technology with the AES encryption guarantees secure communication and storage, thus contributing to transparency and integrity of the data. Therefore, this study takes an extra step toward moving healthcare technologyHealthcare technology forward by merging robust ML predictive capabilities with cutting-edge decentralized securitySecurity.