Logo Medical Science Monitor Basic Research

Call: 1.631.470.9640
Mon-Fri 10 am - 2 pm EST

Contact Us

Logo Medical Science Monitor Basic Research Logo Medical Science Monitor Basic Research Logo Medical Science Monitor Basic Research

07 January 2018 : Clinical Research  

Applying a “Big Data” Literature System to Recommend Antihypertensive Drugs for Hypertension Patients with Diabetes Mellitus

Jing-xian Shu1ABD, Ying Li2ADF, Ting He3CD, Ling Chen4C, Xue Li4C, Lin-lin Zou5C, Lu Yin6F, Xiao-hui Li7G, An-li Wang8D, Xing Liu1ABC, Hong Yuan1ABC*

DOI: 10.12659/MSM.907015

Med Sci Monit 2018; 24: CLR114-148


BACKGROUND: The explosive increase in medical literature has changed therapeutic strategies, but it is challenging for physicians to keep up-to-date on the medical literature. Scientific literature data mining on a large-scale of can be used to refresh physician knowledge and better improve the quality of disease treatment.

MATERIAL AND METHODS: This paper reports on a reformulated version of a data mining method called MedRank, which is a network-based algorithm that ranks therapy for a target disease based on the MEDLINE literature database. MedRank algorithm input for this study was a clear definition of the disease model; the algorithm output was the accurate recommendation of antihypertensive drugs. Hypertension with diabetes mellitus was chosen as the input disease model. The ranking output of antihypertensive drugs are based on the Joint National Committee (JNC) guidelines, one through eight, and the publication dates, ≤1977, ≤1980, ≤1984, ≤1988, ≤1993, ≤1997, ≤2003, and ≤2013. The McNemar’s test was used to evaluate the efficacy of MedRank based on specific JNC guidelines.

RESULTS: The ranking order of antihypertensive drugs changed with the date of the published literature, and the MedRank algorithm drug recommendations had excellent consistency with the JNC guidelines in 2013 (P=1.00 from McNemar’s test, Kappa=0.78, P=1.00). Moreover, the Kappa index increased over time. Sensitivity was better than specificity for MedRank; in addition, sensitivity was maintained at a high level, and specificity increased from 1997 to 2013.

CONCLUSIONS: The use of MedRank in ranking medical literature on hypertension with diabetes mellitus in our study suggests possible application in clinical practice; it is a potential method for supporting antihypertensive drug-prescription decisions.

Keywords: Antihypertensive Agents, data mining, Diabetes Mellitus, Hypertension


Most Viewed Current Articles

13 Apr 2020 : Original article  

Outcome of 24 Weeks of Combined Schroth and Pilates Exercises on Cobb Angle, Angle of Trunk Rotation, Chest...

DOI :10.12659/MSMBR.920449

Med Sci Monit Basic Res 2020; 26:e920449

11 May 2020 : Original article  

Analysis of Psychological and Sleep Status and Exercise Rehabilitation of Front-Line Clinical Staff in the ...

DOI :10.12659/MSMBR.924085

Med Sci Monit Basic Res 2020; 26:e924085

05 Jan 2021 : Review article  

A Southeast Asian Perspective on the COVID-19 Pandemic: Hemoglobin E (HbE)-Trait Confers Resistance Against...

DOI :10.12659/MSMBR.929207

Med Sci Monit Basic Res 2021; 27:e929207

10 Aug 2020 : Clinical Research  

Effects of Cognitive Task Training on Dynamic Balance and Gait of Patients with Stroke: A Preliminary Rando...

DOI :10.12659/MSMBR.925264

Med Sci Monit Basic Res 2020; 26:e925264

Your Privacy

We use cookies to ensure the functionality of our website, to personalize content and advertising, to provide social media features, and to analyze our traffic. If you allow us to do so, we also inform our social media, advertising and analysis partners about your use of our website, You can decise for yourself which categories you you want to deny or allow. Please note that based on your settings not all functionalities of the site are available. View our privacy policy.

Medical Science Monitor Basic Research eISSN: 2325-4416
Medical Science Monitor Basic Research eISSN: 2325-4416