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Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study

机译：使用有限状态机建模自动分类系统疾病和从电子医疗系统数据的持续时间：前瞻性验证研究

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Gumpili Sai Prashanthi; Ayush Deva; Ranganath Vadapalli; Anthony Vipin Das;
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1. Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study [J] . Gumpili Sai Prashanthi, Ayush Deva, Ranganath Vadapalli, JMIR formative research. . 2020,第12期

机译：使用有限状态机建模自动分类系统疾病和从电子医疗系统数据的持续时间：前瞻性验证研究
2. Development and Validation of Machine Learning Models for Prediction of 1-Year Mortality Utilizing Electronic Medical Record Data Available at the End of Hospitalization in Multicondition Patients: a Proof-of-Concept Study [J] . Sahni Nishant, Simon Gyorgy, Arora Rashi Journal of general internal medicine . 2018,第6期

机译：在多态患者住院期间利用电子医疗记录数据的1年死亡率预测机器学习模型的开发和验证：概念验证研究
3. Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study [J] . Kristin M. Corey, Sehj Kashyap, Elizabeth Lorenzi, PLoS Medicine . 2018,第11期

机译：使用自动整理的电子健康记录数据（Pythia）开发和验证机器学习模型，以识别高危手术患者：回顾性，单点研究
4. Categorization of Patient Diseases for Chinese Electronic Health Record Analysis: A Case Study [C] . Junmei Zhong, Xiu Yi, De Xuan, International conference on data mining . 2018

机译：电子病历分析中的患者疾病分类：一个案例研究
5. Understanding, evaluating and enhancing electronic medical record adoption in a primary caresetting: A programme to improve electronic medical record data quality and its effect on familypractice provision of incentivized and enhanced care for chronic disease patients [D] . Bowen, Michael. 2013

机译：了解，评估和增强在初级护理环境中采用电子病历的方案：一项旨在提高电子病历数据质量及其对家庭实践的激励措施的计划，该方案为慢性病患者提供激励和加强护理
6. Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study [O] . Gumpili Sai Prashanthi, Ayush Deva, Ranganath Vadapalli, 2020

机译：使用有限状态机建模自动分类系统疾病和从电子医疗系统数据的持续时间：前瞻性验证研究
7. Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study [O] . Kristin M. Corey, Sehj Kashyap, Elizabeth Lorenzi, 2018

机译：机器学习模型的开发和验证识别高危手术患者使用自动策划电子健康记录数据（Pythia）：回顾性，单现场研究
8. Automated Ambulatory Medical Record Systems in the U.S. An Overview of the Evaluation of Automated Ambulatory Medical Record Systems from 1975 to 1981: Executive Summary [R] . Kuhn, I. M. , Wiederhold, G. , Rodnick, J. E. , 1982

机译：美国自动门诊病历系统1975年至1981年自动门诊病历系统评估概述：执行摘要

Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study

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