Text mining of hypertension researches in the west Asia region: a 12-year trend analysis

Figures & data

Figure 1. Detail of stages in this study from dataset acquisition to TM.

Figure 2. The infographic of input/output of the present analysis.

Figure 3. The frequency of articles belonging to each country of the EMRO.

Figure 4. Coherence score of different topic numbers on LDA.

Figure 5. The six extracted ‘topics’, such as ‘clusters of words’.

Table 1. Top frequented words associated with each topic.

Topics	Detailed content	Number of articles
Topic 0	Hypertension, patient, study, pressure, blood, use, control, HTN, management, treatment, medication, self, participant, hypertensive, and compare	82
Topic 1	Group, pressure, blood, effect,  protein, systolic, diastolic, cholesterol, significant, High, sensitive, reactive, significantly, increase, and consumption	23
Topic 2	Study, effect, blood, pressure, sub, analysis, high, low, stress, patient, SBP, increase, compare, year, and mean	29
Topic 3	Sub, vascular, induce, system, renal, name, level, angiotensin, function, oxidative, mouse, effect, pathway, endothelial, and sodium	14
Topic 4	Hypertension, study, risk, blood, pressure, factor, high, association, associate, disease, prevalence, increase, cardiovascular, significant, and cell	121
Topic 5	Signal, model, feature, propose, system, cluster, ppg, center, use, achieve, clinical, blood, pressure, nox, and target	10

Figure 6. Identifying semantic relationship between 6 topics in Table 1 by co-occurrence map.

Table 2. The selected subjects in topics.

Topic number	Topic subject	The most 15 probable words in the topics
T0	Affecting Factors to the control or management of hypertension	Hypertension patient study pressure blood use control htn management treatment medication self participant hypertensive compare
T1	Variation in blood pressure and related factors	Group pressure blood effect protein systolic diastolic cholesterol significant high sensitive reactive significantly increase consumption
T2	Factors affecting hypertension	Study effect blood pressure sub analysis high low stress patient sbp increase compare year mean
T3	Hypertension and cardiovascular disease	Sub vascular induce system renal name level angiotensin function oxidative mouse effect pathway endothelial sodium
T4	Risk factors related to hypertension	Hypertension study risk blood pressure factor high association associate disease prevalence increase cardiovascular significant cell
T5	Controlling hypertension model/measuring techniques	Signal model feature propose system cluster ppg center use achieve clinical blood pressure nox target

Figure 7. Distribution of articles in each topic.

Figure 8. Distributions of articles ‘in each country on topics’ since 2010.

Figure 9. Distributions of articles based ‘on topics’ since 2010.

Figure 10. Word clouds of selected six topics and total words.

Figure 11. Distributions of articles based ‘on topic 1’ since 2010.

Figure 12. Distributions of articles based ‘on topic 4’ on the EMRO.

Data availability statement

All cleaned and pre-processed data and/or analyzed during this research are available from the corresponding author on reasonable request, but the original articles are available online in PubMed.