2019
DOI: 10.1186/s12889-019-7515-5
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Analysis of disease profile, and medical burden by lead exposure from hospital information systems in China

Abstract: Background Though lead (Pb)-gasoline has been banned for decades in China, Pb continues to be a vital risk factor for various diseases. Traditional studies, without large sample size, were unable to identify explicitly the associations among Pb, its disease profile, and the related medical burden. This study was designed to investigate: 1) current status of blood Pb levels; 2) Pb-associated disease profile, medical burden, as well as impact factors. Methods Research sub… Show more

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Cited by 10 publications
(6 citation statements)
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“…A retrospective analysis was done with medical big data collected from all Chinese military hospitals, which serve not only the military personnel, but also civilians, taking up a significantly high proportion of Chinese health services. [ 10 ] Hospitals in this study are mostly located in key cities of provinces. The database includes patients’ demographic information, vital signs, diagnoses of diseases, medical orders, examination reports, lab tests results, drugs, medical supplies, or even infections.…”
Section: Methodsmentioning
confidence: 99%
“…A retrospective analysis was done with medical big data collected from all Chinese military hospitals, which serve not only the military personnel, but also civilians, taking up a significantly high proportion of Chinese health services. [ 10 ] Hospitals in this study are mostly located in key cities of provinces. The database includes patients’ demographic information, vital signs, diagnoses of diseases, medical orders, examination reports, lab tests results, drugs, medical supplies, or even infections.…”
Section: Methodsmentioning
confidence: 99%
“…A retrospective analysis was done with medical big data collected from all Chinese military hospitals, which serve not only the military personnel, but also civilians, taking up a significantly high proportion of Chinese health services [11]. Hospitals in this study are mostly located in key cities of provinces.…”
Section: Data Resourcementioning
confidence: 99%
“…Bayesian networks has been considered as an efficient decision tool for predicting ALS disease in previous study ( [ 11 ]). Based on the medical big data system ( [ 12 , 13 ]), we chose the ALS inpatients who underwent blood Pb testing as well as matched controlled inpatients admitted to the neurology department. Patient’s demographic information, vital signs, medical orders, examination reports, lab tests results were also obtained from the same study.…”
Section: Introductionmentioning
confidence: 99%