| scholarly article | Q13442814 |
| review article | Q7318358 |
| P50 | author | Geraldine Boylan | Q38802528 |
| P2093 | author name string | John M O'Toole | |
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| Peak-to-peak amplitude in neonatal brain monitoring of premature infants. | Q48504346 | ||
| Amplitude spectral analysis of theta/alpha/beta waves in preterm infants. | Q48519638 | ||
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| Brain dysmaturity index for automatic detection of high-risk infants. | Q48726291 | ||
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| Developmental change of amplitude-integrated electroencephalographic activity in preterm infants with intraventricular hemorrhage. | Q48963491 | ||
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| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | electroencephalography | Q179965 |
| data science | Q2374463 | ||
| P304 | page(s) | 174 | |
| P577 | publication date | 2019-05-03 | |
| P1433 | published in | Frontiers in pediatrics | Q27725038 |
| P1476 | title | Quantitative Preterm EEG Analysis: The Need for Caution in Using Modern Data Science Techniques | |
| P478 | volume | 7 |
| Q94461818 | Applying a data-driven approach to quantify EEG maturational deviations in preterms with normal and abnormal neurodevelopmental outcomes | cites work | P2860 |
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