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Items: 1 to 50 of 294

1.

Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign data: a multicentre development and validation.

Shamout F, Zhu T, Clifton L, Briggs J, Prytherch D, Meredith P, Tarassenko L, Watkinson PJ, Clifton DA.

BMJ Open. 2019 Nov 19;9(11):e033301. doi: 10.1136/bmjopen-2019-033301.

2.

Predicting atrial fibrillation in primary care using machine learning.

Hill NR, Ayoubkhani D, McEwan P, Sugrue DM, Farooqui U, Lister S, Lumley M, Bakhai A, Cohen AT, O'Neill M, Clifton D, Gordon J.

PLoS One. 2019 Nov 1;14(11):e0224582. doi: 10.1371/journal.pone.0224582. eCollection 2019.

3.

Deep Interpretable Early Warning System for the Detection of Clinical Deterioration.

Shamout FE, Zhu T, Sharma P, Watkinson PJ, Clifton DA.

IEEE J Biomed Health Inform. 2019 Sep 19. doi: 10.1109/JBHI.2019.2937803. [Epub ahead of print]

PMID:
31545746
4.

A computationally efficient algorithm to obtain an accurate and interpretable model of the effect of circadian rhythm on resting heart rate.

Morelli D, Bartoloni L, Rossi A, Clifton DA.

Physiol Meas. 2019 Sep 30;40(9):095001. doi: 10.1088/1361-6579/ab3dea.

PMID:
31437825
5.

Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations.

Morelli D, Rossi A, Cairo M, Clifton DA.

Sensors (Basel). 2019 Jul 18;19(14). pii: E3163. doi: 10.3390/s19143163.

6.

Achieving affordable critical care in low-income and middle-income countries.

Turner HC, Hao NV, Yacoub S, Hoang VMT, Clifton DA, Thwaites GE, Dondorp AM, Thwaites CL, Chau NVV.

BMJ Glob Health. 2019 Jun 19;4(3):e001675. doi: 10.1136/bmjgh-2019-001675. eCollection 2019. No abstract available.

7.

Blockchain in health care: hype, trust, and digital health.

Leeming G, Ainsworth J, Clifton DA.

Lancet. 2019 Jun 22;393(10190):2476-2477. doi: 10.1016/S0140-6736(19)30948-1. No abstract available.

PMID:
31232356
8.

Functional Movement Assessments Are Not Associated with Risk of Injury During Military Basic Training.

de la Motte SJ, Clifton DR, Gribbin TC, Beutler AI, Deuster PA.

Mil Med. 2019 May 24. pii: usz118. doi: 10.1093/milmed/usz118. [Epub ahead of print]

PMID:
31125066
9.

Patient centred variables with univariate associations with unplanned ICU admission: a systematic review.

Malycha J, Bonnici T, Clifton DA, Ludbrook G, Young JD, Watkinson PJ.

BMC Med Inform Decis Mak. 2019 May 15;19(1):98. doi: 10.1186/s12911-019-0820-1.

10.

How to maintain the maximal level of blinding in randomisation for a placebo-controlled drug trial.

Clifton L, Clifton DA.

Contemp Clin Trials Commun. 2019 Apr 9;14:100356. doi: 10.1016/j.conctc.2019.100356. eCollection 2019 Jun.

11.

The effect of fractional inspired oxygen concentration on early warning score performance: A database analysis.

Malycha J, Farajidavar N, Pimentel MAF, Redfern O, Clifton DA, Tarassenko L, Meredith P, Prytherch D, Ludbrook G, Young JD, Watkinson PJ.

Resuscitation. 2019 Jun;139:192-199. doi: 10.1016/j.resuscitation.2019.04.002. Epub 2019 Apr 18.

12.

Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry.

Jarchi D, Charlton P, Pimentel M, Casson A, Tarassenko L, Clifton DA.

Healthc Technol Lett. 2019 Feb 21;6(1):19-26. doi: 10.1049/htl.2018.5019. eCollection 2019 Feb.

13.

Letter to the Editor: Measuring true accuracy of self-reported injuries.

Clifton DR, Tra J, de la Motte SJ.

Musculoskelet Sci Pract. 2019 Jul;42:e1. doi: 10.1016/j.msksp.2019.02.006. Epub 2019 Feb 27. No abstract available.

PMID:
30852098
14.

The First Decade of Web-Based Sports Injury Surveillance: Descriptive Epidemiology of Injuries in US High School Girls' Basketball (2005-2006 Through 2013-2014) and National Collegiate Athletic Association Women's Basketball (2004-2005 Through 2013-2014).

Clifton DR, Hertel J, Onate JA, Currie DW, Pierpoint LA, Wasserman EB, Knowles SB, Dompier TP, Comstock RD, Marshall SW, Kerr ZY.

J Athl Train. 2018 Nov;53(11):1037-1048. doi: 10.4085/1062-6050-150-17.

15.

The First Decade of Web-Based Sports Injury Surveillance: Descriptive Epidemiology of Injuries in US High School Boys' Basketball (2005-2006 Through 2013-2014) and National Collegiate Athletic Association Men's Basketball (2004-2005 Through 2013-2014).

Clifton DR, Onate JA, Hertel J, Pierpoint LA, Currie DW, Wasserman EB, Knowles SB, Dompier TP, Marshall SW, Comstock RD, Kerr ZY.

J Athl Train. 2018 Nov;53(11):1025-1036. doi: 10.4085/1062-6050-148-17.

16.

DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis.

Yang Y, Walker TM, Walker AS, Wilson DJ, Peto TEA, Crook DW, Shamout F; CRyPTIC Consortium , Zhu T, Clifton DA.

Bioinformatics. 2019 Sep 15;35(18):3240-3249. doi: 10.1093/bioinformatics/btz067.

17.

Gaussian Processes for Personalized Interpretable Volatility Metrics in the Step-Down Ward.

Colopy GW, Roberts SJ, Clifton DA.

IEEE J Biomed Health Inform. 2019 May;23(3):949-959. doi: 10.1109/JBHI.2019.2890823. Epub 2019 Jan 22.

PMID:
30676986
18.

The correlation between baseline score and post-intervention score, and its implications for statistical analysis.

Clifton L, Clifton DA.

Trials. 2019 Jan 11;20(1):43. doi: 10.1186/s13063-018-3108-3.

19.

Comparing different ways of calculating sample size for two independent means: A worked example.

Clifton L, Birks J, Clifton DA.

Contemp Clin Trials Commun. 2018 Nov 29;13:100309. doi: 10.1016/j.conctc.2018.100309. eCollection 2019 Mar.

20.

Relationship of Movement Screens with Past Shoulder or Elbow Surgeries in Collegiate Baseball Players.

Busch AM, Clifton DR, Onate JA.

Int J Sports Phys Ther. 2018 Dec;13(6):1008-1014.

21.

Application of machine learning techniques to tuberculosis drug resistance analysis.

Kouchaki S, Yang Y, Walker TM, Sarah Walker A, Wilson DJ, Peto TEA, Crook DW; CRyPTIC Consortium, Clifton DA.

Bioinformatics. 2019 Jul 1;35(13):2276-2282. doi: 10.1093/bioinformatics/bty949.

22.

Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions.

Jarchi D, Salvi D, Tarassenko L, Clifton DA.

Sensors (Basel). 2018 Oct 31;18(11). pii: E3705. doi: 10.3390/s18113705.

23.

Epidemiology of Injuries Requiring Emergency Transport Among Collegiate and High School Student-Athletes.

Hirschhorn RM, Kerr ZY, Wasserman EB, Kay MC, Clifton DR, Dompier TP, Yeargin SW.

J Athl Train. 2018 Sep;53(9):906-914. doi: 10.4085/1062-6050-340-17. Epub 2018 Oct 4.

24.

Prediction of Susceptibility to First-Line Tuberculosis Drugs by DNA Sequencing.

CRyPTIC Consortium and the 100,000 Genomes Project, Allix-Béguec C, Arandjelovic I, Bi L, Beckert P, Bonnet M, Bradley P, Cabibbe AM, Cancino-Muñoz I, Caulfield MJ, Chaiprasert A, Cirillo DM, Clifton DA, Comas I, Crook DW, De Filippo MR, de Neeling H, Diel R, Drobniewski FA, Faksri K, Farhat MR, Fleming J, Fowler P, Fowler TA, Gao Q, Gardy J, Gascoyne-Binzi D, Gibertoni-Cruz AL, Gil-Brusola A, Golubchik T, Gonzalo X, Grandjean L, He G, Guthrie JL, Hoosdally S, Hunt M, Iqbal Z, Ismail N, Johnston J, Khanzada FM, Khor CC, Kohl TA, Kong C, Lipworth S, Liu Q, Maphalala G, Martinez E, Mathys V, Merker M, Miotto P, Mistry N, Moore DAJ, Murray M, Niemann S, Omar SV, Ong RT, Peto TEA, Posey JE, Prammananan T, Pym A, Rodrigues C, Rodrigues M, Rodwell T, Rossolini GM, Sánchez Padilla E, Schito M, Shen X, Shendure J, Sintchenko V, Sloutsky A, Smith EG, Snyder M, Soetaert K, Starks AM, Supply P, Suriyapol P, Tahseen S, Tang P, Teo YY, Thuong TNT, Thwaites G, Tortoli E, van Soolingen D, Walker AS, Walker TM, Wilcox M, Wilson DJ, Wyllie D, Yang Y, Zhang H, Zhao Y, Zhu B.

N Engl J Med. 2018 Oct 11;379(15):1403-1415. doi: 10.1056/NEJMoa1800474. Epub 2018 Sep 26.

25.

Concussion Epidemiology in Athletes Who Are Deaf or Hard-of-Hearing Compared With Athletes Who Are Hearing.

Brancaleone MP, Clifton DR, Onate JA, Boucher LC.

Clin J Sport Med. 2018 Sep 26. doi: 10.1097/JSM.0000000000000667. [Epub ahead of print]

PMID:
30260813
26.

Predicting in-hospital mortality and unanticipated admissions to the intensive care unit using routinely collected blood tests and vital signs: Development and validation of a multivariable model.

Redfern OC, Pimentel MAF, Prytherch D, Meredith P, Clifton DA, Tarassenko L, Smith GB, Watkinson PJ.

Resuscitation. 2018 Dec;133:75-81. doi: 10.1016/j.resuscitation.2018.09.021. Epub 2018 Sep 22.

27.

Smoothing Effect in Vital Sign Recordings: Fact or Fiction? A Retrospective Cohort Analysis of Manual and Continuous Vital Sign Measurements to Assess Data Smoothing in Postoperative Care.

Tomlinson HR, Pimentel MAF, Gerry S, Clifton DA, Tarassenko L, Watkinson PJ.

Anesth Analg. 2018 Oct;127(4):960-966. doi: 10.1213/ANE.0000000000003694.

28.

Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care.

Zhu T, Pimentel MAF, Clifford GD, Clifton DA.

IEEE J Biomed Health Inform. 2019 Jan;23(1):47-58. doi: 10.1109/JBHI.2018.2820054. Epub 2018 Jun 5.

PMID:
29994340
29.

Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review.

Charlton PH, Birrenkott DA, Bonnici T, Pimentel MAF, Johnson AEW, Alastruey J, Tarassenko L, Watkinson PJ, Beale R, Clifton DA.

IEEE Rev Biomed Eng. 2018;11:2-20. doi: 10.1109/RBME.2017.2763681. Epub 2017 Oct 24. Review.

PMID:
29990026
30.

A Robust Fusion Model for Estimating Respiratory Rate From Photoplethysmography and Electrocardiography.

Birrenkott DA, Pimentel MAF, Watkinson PJ, Clifton DA.

IEEE Trans Biomed Eng. 2018 Sep;65(9):2033-2041. doi: 10.1109/TBME.2017.2778265. Epub 2017 Dec 19.

PMID:
29989939
31.

Applied Machine Learning for the Prediction of Growth of Abdominal Aortic Aneurysm in Humans.

Lee R, Jarchi D, Perera R, Jones A, Cassimjee I, Handa A, Clifton DA; Oxford Abdominal Aortic Aneurysm Study and; Oxford Regional Vascular Service.

EJVES Short Rep. 2018 May 1;39:24-28. doi: 10.1016/j.ejvssr.2018.03.004. eCollection 2018.

32.

Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data.

Watkinson PJ, Pimentel MAF, Clifton DA, Tarassenko L.

Resuscitation. 2018 Aug;129:55-60. doi: 10.1016/j.resuscitation.2018.06.003. Epub 2018 Jun 4.

33.

Bayesian fusion of physiological measurements using a signal quality extension.

Zhu T, Johnson AEW, Yang Y, Clifford GD, Clifton DA.

Physiol Meas. 2018 Jun 27;39(6):065008. doi: 10.1088/1361-6579/aac856.

PMID:
29808824
34.

Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device.

Morelli D, Bartoloni L, Colombo M, Plans D, Clifton DA.

Healthc Technol Lett. 2018 Feb 12;5(2):59-64. doi: 10.1049/htl.2017.0039. eCollection 2018 Apr.

35.

A Tablet-Based Educational Tool: Toward More Comprehensive Pediatric Patient Education.

Clifton DC, Benjamin RW, Brown AR, Ostrovsky DA, Narayan AP.

Clin Pediatr (Phila). 2018 Sep;57(10):1176-1182. doi: 10.1177/0009922818766621. Epub 2018 Mar 24.

PMID:
29575940
36.

Bayesian Optimization of Personalized Models for Patient Vital-Sign Monitoring.

Colopy GW, Roberts SJ, Clifton DA.

IEEE J Biomed Health Inform. 2018 Mar;22(2):301-310. doi: 10.1109/JBHI.2017.2751509.

PMID:
29505398
37.

Psychiatric sequelae of corticosteroid use in hematology in Australia: A qualitative study.

Clifton D, Ross M, O'Callaghan C.

Nurs Health Sci. 2018 Mar;20(1):125-131. doi: 10.1111/nhs.12395. Epub 2018 Jan 18.

PMID:
29345096
38.

Normative Functional Performance Values in High School Athletes: The Functional Pre-Participation Evaluation Project.

Onate JA, Starkel C, Clifton DR, Best TM, Borchers J, Chaudhari A, Comstock RD, Cortes N, Grooms DR, Hertel J, Hewett TE, Miller MM, Pan X, Schussler E, Van Lunen BL.

J Athl Train. 2018 Jan;53(1):35-42. doi: 10.4085/1062-6050-458.16. Epub 2018 Jan 9.

39.

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data.

Yang Y, Niehaus KE, Walker TM, Iqbal Z, Walker AS, Wilson DJ, Peto TEA, Crook DW, Smith EG, Zhu T, Clifton DA.

Bioinformatics. 2018 May 15;34(10):1666-1671. doi: 10.1093/bioinformatics/btx801.

40.

RELATIONSHIP OF PRESEASON MOVEMENT SCREENS WITH OVERUSE SYMPTOMS IN COLLEGIATE BASEBALL PLAYERS.

Busch AM, Clifton DR, Onate JA, Ramsey VK, Cromartie F.

Int J Sports Phys Ther. 2017 Nov;12(6):960-966.

41.

Likelihood-based artefact detection in continuously-acquired patient vital signs.

Colopy GW, Tingting Zhu, Clifton L, Roberts SJ, Clifton DA.

Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:2146-2149. doi: 10.1109/EMBC.2017.8037279.

PMID:
29060321
42.

Suboptimal HIV Testing Among Patients Admitted With Pneumonia: A Missed Opportunity.

Clifton DC, Clement ME, Holland TL, Cox GM, Dicks KV, Stout JE.

AIDS Educ Prev. 2017 Aug;29(4):377-388. doi: 10.1521/aeap.2017.29.4.377.

43.

A Comprehensive Method To Quantify Adaptations by Male and Female Mice With Hot Flashes Induced by the Neurokinin B Receptor Agonist Senktide.

Krull AA, Larsen SA, Clifton DK, Neal-Perry G, Steiner RA.

Endocrinology. 2017 Oct 1;158(10):3259-3268. doi: 10.1210/en.2017-00142.

44.

Epidemiology of Knee Sprains in Youth, High School, and Collegiate American Football Players.

Clifton DR, Onate JA, Schussler E, Djoko A, Dompier TP, Kerr ZY.

J Athl Train. 2017 May;52(5):464-473. doi: 10.4085/1062-6050-52.3.09. Epub 2017 Apr 17.

45.

Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants.

Charlton PH, Bonnici T, Tarassenko L, Alastruey J, Clifton DA, Beale R, Watkinson PJ.

Physiol Meas. 2017 May;38(5):669-690. doi: 10.1088/1361-6579/aa670e. Epub 2017 Mar 15.

PMID:
28296645
46.

Bayesian Gaussian processes for identifying the deteriorating patient.

Colopy GW, Pimentel MA, Roberts SJ, Clifton DA.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:5311-5314. doi: 10.1109/EMBC.2016.7591926.

PMID:
28269459
47.

Risk prediction for cardiovascular disease using ECG data in the China kadoorie biobank.

Yanting Shen, Yang Yang, Parish S, Zhengming Chen, Clarke R, Clifton DA.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:2419-2422. doi: 10.1109/EMBC.2016.7591218.

PMID:
28268813
48.

Robust estimation of respiratory rate via ECG- and PPG-derived respiratory quality indices.

Birrenkott DA, Pimentel MA, Watkinson PJ, Clifton DA.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:676-679. doi: 10.1109/EMBC.2016.7590792.

PMID:
28268418
49.

Epidemiological Patterns of Ankle Sprains in Youth, High School, and College Football.

Clifton DR, Koldenhoven RM, Hertel J, Onate JA, Dompier TP, Kerr ZY.

Am J Sports Med. 2017 Feb;45(2):417-425. doi: 10.1177/0363546516667914. Epub 2016 Oct 8.

PMID:
28146396
50.

Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters.

Pimentel MAF, Johnson AEW, Charlton PH, Birrenkott D, Watkinson PJ, Tarassenko L, Clifton DA.

IEEE Trans Biomed Eng. 2017 Aug;64(8):1914-1923. doi: 10.1109/TBME.2016.2613124. Epub 2016 Nov 18.

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