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kwic search for risk out of >500 occurrences
421954 occurrences (No.40 in the rank) during 5 years in the PubMed. [cache]
[frequency of next (right) word to risk]
421954 occurrences (No.40 in the rank) during 5 years in the PubMed. [cache]
| 316) Risk perception varied geographically alon |
| 317) al, and social drivers of population heat risk perception and how they interact to i |
| 318) research demonstrates a link between heat risk perception and population response to |
| 319) lished up to March 2020 and investigating risk perception determinants for respirato |
| 320) A miscellaneous operationalization of risk perception emerged, including the lik |
| 321) Understanding the determinants of risk perception for COVID-19 might help to |
| 322) evidence on the possible determinants of risk perception for COVID-like diseases. |
| 323) Results revealed risk perception influences a person's expo |
| 324) mptoms, fatigue, daily activities, stroke risk factors, and cognitive exertion. |
| 325) ead to better health care outcomes, lower risk factors, and improved interventions r |
| 326) odemographic correlates, associations, or risk factors, and nine studies examined me |
| 327) Prognosis/ risk factors, epidemiology, and coagulatio |
| 328) Establishing risk factors, examining sex differences an |
| 329) e captured detailed data on demographics, risk factors, pre-COVID-19 Rockwood frailt |
| 330) addressed prevalence, severity, etiology, risk factors, preventive methods, screenin |
| 331) ized approaches for smoking cessation and risk prediction for tobacco-related diseas |
| 332) survival when incorporated into existing risk prediction models. |
| 333) ncorporating endostatin into existing PAH risk prediction models. |
| 334) Adding endostatin to existing PAH risk prediction strategies improves PAH ri |
| 335) mpared to null models based on the REVEAL risk prediction tool and European Society |
| 336) calibration examining the reliability in risk prediction was performed using either |
| 337) rvations and the implications for genetic risk prediction. |
| 338) ersely associated with a pediatric asthma risk stratification based on multiple peri |
| 339) nfirm causality, use of this finding as a risk stratification biomarker is promising |
| 340) tatus could be utilized as a predictor of risk stratification for recurrence and to |
| 341) tokine biomarker signatures might improve risk stratification in LTBI. |
| 342) Accurate detection and risk stratification of latent tuberculosis |
| 343) by these characteristics could facilitate risk stratification or new therapeutic tar |
| 344) dementia screening battery to identify at-risk individuals with DS in primary care s |
| 345) s of the disease, as well as detecting at-risk individuals. |
| 346) ' S309-CAR-NK cells for treatment in high-risk individuals as well as provide an alt |
| 347) media were significantly enriched in high-risk individuals. |
| 348) implant interface in all groups, only low-risk individuals exhibited suppression of |
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(1)139  of |
(11)7 prediction |
(21)3 decision |
(31)2 markers |
| (2)49 factors |
(12)6 stratification |
(22)3 or |
(32)2 mitigation |
| (3)46 for |
(13)5 individuals |
(23)3 patients |
(33)2 population |
| (4)21 *null* | (14)4 genes |
(24)2 (OR |
(34)2 ratio |
| (5)19 factor |
(15)4 populations |
(25)2 among |
(35)2 reduction |
| (6)16 and |
(16)4 score |
(26)2 communication |
(36)2 screening |
| (7)13 assessment |
(17)4 to |
(27)2 communication, |
(37)2 strategies |
| (8)12 in |
(18)4 variants |
(28)2 designations |
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| (9)8 perception |
(19)3 alleles |
(29)2 group |
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| (10)7 factors, |
(20)3 assessment, |
(30)2 is |
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--- WordNet output for risk ---