Disease prediction model for secure patient data over cloud using machine learning

IF 1.2 Q2 MATHEMATICS, APPLIED
Dinesh Goyal, Ruchi Goyal, S. Bhargava, Priyanka Sharma
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引用次数: 0

Abstract

Abstract Patient data at hospitals is non-sharable in current systems and cost of repeated medication is curse to the patients. Also medical treatment perspective changes at every hospital or doctor or diagnostic center. To resolve the issue of availability of medicinal past history of the patients & reduction in cost of treatment with decisive & secure availability of patient records, like prescriptions and lab reports, we implemented an ERP system over cloud in five hospitals. Based on data retrieved from the hospitals of registration (only to ensure privacy of patients) we implement data analytics using machine learning for the prediction of the disease of patients by tracking the record of medical history and also analyzed hospital and doctors information and performance. Our aim is to provide solution for less cost treatment and for regulation and monitoring of health care to Indian Medical Industry.
使用机器学习的云上安全患者数据的疾病预测模型
摘要在当前的系统中,医院的患者数据是不可共享的,重复用药的成本对患者来说是个诅咒。此外,每个医院、医生或诊断中心的医疗观点都会发生变化。为了解决患者既往病史的可用性问题,以及通过决定性和安全的患者记录(如处方和实验室报告)来降低治疗成本,我们在五家医院实施了云ERP系统。基于从注册医院检索的数据(仅为了确保患者的隐私),我们使用机器学习实现数据分析,通过跟踪病史记录来预测患者的疾病,并分析医院和医生的信息和表现。我们的目标是为印度医疗行业提供低成本治疗以及医疗保健监管和监测的解决方案。
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来源期刊
CiteScore
3.10
自引率
21.40%
发文量
126
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