Bottom-up subspace clustering suggests a paradigm shift to prevent fall injuries

Medical Hypotheses

Volumn 84, Issue 4, 2015, Pages 356-362

  Brodie, Matthew A ^a   Lovell, Nigel H ^a   Redmond, Stephen J ^a   Lord, Stephen R ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ALTERNATIVE HYPOTHESIS; ANALYSIS OF VARIANCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BOTTOM UP SUPERVISED SUBSPACE CLUSTERING; CLUSTER ANALYSIS; COMMUNITY LIVING; CONTROLLED STUDY; DECISION TREE; FALL RISK; FALLING; FEMALE; HUMAN; INJURY; INJURY SEVERITY; INTERVENTION STUDY; KAPPA STATISTICS; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MEDICAL HISTORY; PILOT STUDY; PRINCIPAL COMPONENT ANALYSIS; RISK FACTOR; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; BIOLOGICAL MODEL; PERSONALIZED MEDICINE; PREVENTION AND CONTROL; STATISTICS AND NUMERICAL DATA; TRENDS; VERY ELDERLY;

ACCIDENTAL FALLS; AGED; AGED, 80 AND OVER; ANALYSIS OF VARIANCE; CLUSTER ANALYSIS; DECISION TREES; HUMANS; MODELS, BIOLOGICAL; PILOT PROJECTS; PRECISION MEDICINE; RISK FACTORS;

EID: 84924070492     PISSN: 03069877     EISSN: 15322777     Source Type: Journal    
DOI: 10.1016/j.mehy.2015.01.017     Document Type: Article

References (55)

1. Masud T., Morris R.O. Epidemiology of falls. Age Ageing 2001, 30(Suppl. 4):3-7. [Epub 2002/01/05].
2. Murray C.J., Richards M.A., Newton J.N., Fenton K.A., Anderson H.R., Atkinson C., et al. UK health performance: findings of the Global Burden of Disease Study 2010. Lancet 2013, 381(9871):997-1020. [Epub 2013/05/15].
3. Salomon J.A., Wang H., Freeman M.K., Vos T., Flaxman A.D., Lopez A.D., et al. Healthy life expectancy for 187 countries, 1990-2010: a systematic analysis for the Global Burden Disease Study 2010. Lancet 2012, 380(9859):2144-2162. [Epub 2012/12/19].
4. Tiedemann A., Sherrington C., Orr T., Hallen J., Lewis D., Kelly A., et al. Identifying older people at high risk of future falls: development and validation of a screening tool for use in emergency departments. Emer Med J 2012, [Epub 2012/11/10].
5. Leclerc B.S., Begin C., Cadieux E., Goulet L., Allaire J.F., Meloche J., et al. A classification and regression tree for predicting recurrent falling among community-dwelling seniors using home-care services. Can J Public Health 2009, 100(4):263-267. [Epub 2009/09/03].
6. Podsiadlo D., Richardson S. The timed "Up & Go": a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc 1991, 39(2):142-148. [Epub 1991/02/01].
7. Howland J., Peterson E.W., Levin W.C., Fried L., Pordon D., Bak S. Fear of falling among the community-dwelling elderly. J Aging Health 1993, 5(2):229-243. [Epub 1993/04/08].
8. Lord S.R., Menz H.B., Tiedemann A. A physiological profile approach to falls risk assessment and prevention. Phys Ther 2003, 83(3):237-252.
9. Melzer I., Benjuya N., Kaplanski J. Postural stability in the elderly: a comparison between fallers and non-fallers. Age Ageing 2004, 33(6):602-607. [Epub 2004/10/27].
10. Bogle Thorbahn L.D., Newton R.A. Use of the Berg Balance Test to predict falls in elderly persons. Phys Ther 1996, 76(6):576-583. [discussion 84-5, Epub 1996/06/01].
11. Berg K.O., Wooddauphinee S.L., Williams J.I. Measuring balance in the elderly - validation of an instrument. Can J Public Health 1992, 83:S7-S11.
12. Pacher P., Ungvari Z. Selective serotonin-reuptake inhibitor antidepressants increase the risk of falls and hip fractures in elderly people by inhibiting cardiovascular ion channels. Med Hypotheses 2001, 57(4):469-471. [Epub 2001/10/17].
13. Tinetti M.E., Doucette J., Claus E., Marottoli R. Risk factors for serious injury during falls by older persons in the community. J Am Geriatr Soc 1995, 43(11):1214-1221. [Epub 1995/11/01].
14. Nguyen B.M. Myofascial trigger point, falls in the elderly, idiopathic knee pain and osteoarthritis: an alternative concept. Med Hypotheses 2013, 80(6):806-809. [Epub 2013/04/10].
15. Lindemann U., Nicolai S., Beische D., Becker C., Srulijes K., Dietzel E., et al. Clinical and dual-tasking aspects in frequent and infrequent fallers with progressive supranuclear palsy. Movement Disord 2010, 25(8):1040-1046. [Epub 2010/02/05].
16. Lindemann U., Oksa J., Skelton D.A., Beyer N., Klenk J., Zscheile J., et al. Effect of cold indoor environment on physical performance of older women living in the community. Age Ageing 2014, 43(4):571-575. [Epub 2014/05/24].
17. Greene B.R., McGrath D., Walsh L., Doheny E.P., McKeown D., Garattini C., et al. Quantitative falls risk estimation through multi-sensor assessment of standing balance. Physiol Meas 2012, 33(12):2049-2063. [Epub 2012/11/16].
18. Shumway-Cook A., Baldwin M., Polissar N.L., Gruber W. Predicting the probability for falls in community-dwelling older adults. Phys Ther 1997, 77(8):812-819. [Epub 1997/08/01].
19. Giansanti D., Maccioni G., Cesinaro S., Benvenuti F., Macellari V. Assessment of fall-risk by means of a neural network based on parameters assessed by a wearable device during posturography. Med Eng Phys 2008, 30(3):367-372. [Epub 2007/06/15].
20. Bath P.A., Pendleton N., Morgan K., Clague J.E., Horan M.A., Lucas S.B. New approach to risk determination: development of risk profile for new falls among community-dwelling older people by use of a Genetic Algorithm Neural Network (GANN). J Gerontol A Biol Sci Med Sci 2000, 55(1):M17-M21. [Epub 2000/03/17].
21. Giansanti D., Macellari V., Maccioni G. New neural network classifier of fall-risk based on the Mahalanobis distance and kinematic parameters assessed by a wearable device. Physiol Meas 2008, 29(3):N11-N19. [Epub 2008/03/28].
22. Delbaere K., Close J.C., Heim J., Sachdev P.S., Brodaty H., Slavin M.J., et al. A multifactorial approach to understanding fall risk in older people. J Am Geriatr Soc 2010, 58(9):1679-1685. [Epub 2010/09/25].
23. Herman T., Mirelman A., Giladi N., Schweiger A., Hausdorff J.M. Executive control deficits as a prodrome to falls in healthy older adults: a prospective study linking thinking, walking, and falling. J Gerontol A Biol Sci Med Sci 2010, 65(10):1086-1092. [Epub 2010/05/21].
24. Intrator O., Kooperberg C. Trees and splines in survival analysis. Stat Methods Med Res 1995, 4(3):237-261. [Epub 1995/09/01].
25. Liu Y., Traskin M., Lorch S.A., George E.I., Small D. Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance. Health Care Manage Sci 2014, [Epub 2014/04/30].
26. Lord S.R., Clark R.D., Webster I.W. Physiological factors associated with falls in an elderly population. J Am Geriatr Soc 1991, 39(12):1194-1200. [Epub 1991/12/01].
27. Lord S.R., Clark R.D. Simple physiological and clinical tests for the accurate prediction of falling in older people. Gerontology 1996, 42(4):199-203. [Epub 1996/01/01].
28. Lord S.R., Ward J.A., Williams P., Anstey K.J. Physiological factors associated with falls in older community-dwelling women. J Am Geriatr Soc 1994, 42(10):1110-1117. [Epub 1994/10/01].
29. Greene B.R., O'Donovan A., Romero-Ortuno R., Cogan L., Scanaill C.N., Kenny R.A. Quantitative falls risk assessment using the timed up and go test. Ieee T Bio-Med Eng 2010, 57(12):2918-2926.
30. Greene B.R., Doheny E.P., Walsh C., Cunningham C., Crosby L., Kenny R.A. Evaluation of falls risk in community-dwelling older adults using body-worn sensors. Gerontology 2012, 58(5):472-480. [Epub 2012/05/11].
31. Marschollek M., Nemitz G., Gietzelt M., Wolf K.H., Meyer Zu Schwabedissen H., Haux R. Predicting in-patient falls in a geriatric clinic: a clinical study combining assessment data and simple sensory gait measurements. Zeitsch Gerontol Geriatr 2009, 42(4):317-321. [Epub 2009/06/23].
32. Muir S.W., Berg K., Chesworth B., Speechley M. Use of the Berg Balance Scale for predicting multiple falls in community-dwelling elderly people: a prospective study. Phys Ther 2008, 88(4):449-459. [Epub 2008/01/26].
33. Gates S., Smith L.A., Fisher J.D., Lamb S.E. Systematic review of accuracy of screening instruments for predicting fall risk among independently living older adults. J Rehabil Res Dev 2008, 45(8):1105-1116. [Epub 2009/02/24].
34. Gillespie L.D., Robertson M.C., Gillespie W.J., Sherrington C., Gates S., Clemson L.M., et al. Interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev 2012, 9:CD007146. [Epub 2012/09/14].
35. Cameron I.D., Gillespie L.D., Robertson M.C., Murray G.R., Hill K.D., Cumming R.G., et al. Interventions for preventing falls in older people in care facilities and hospitals. J Cochrane Database Syst Rev 2012, 12:CD005465. [Epub 2012/12/14].
36. Rapp K., Lamb S.E., Büchele G., Lall R., Lindemann U., Becker C. Prevention of falls in nursing homes: subgroup analyses of a randomized fall prevention trial. J Am Geriatr Soc 2008, 56(6):1092-1097.
37. Close J., Ellis M., Hooper R., Glucksman E., Jackson S., Swift C. Prevention of falls in the elderly trial (PROFET): a randomised controlled trial. Lancet 1999, 353(9147):93-97. [Epub 1999/02/19].
38. Whitehead C., Wundke R., Crotty M., Finucane P. Evidence-based clinical practice in falls prevention: a randomised controlled trial of a falls prevention service. Aust Health Rev 2003, 26(3):88-97. [Epub 2004/09/17].
39. Cumming R.G., Ivers R., Clemson L., Cullen J., Hayes M.F., Tanzer M., et al. Improving vision to prevent falls in frail older people: a randomized trial. J Am Geriatr Soc 2007, 55(2):175-181. [Epub 2007/02/17].
40. Kritchevsky S.B., Nicklas B.J., Visser M., et al. ANgiotensin-converting enzyme insertion/deletion genotype, exercise, and physical decline. J Am Med Assoc 2005, 294(6):691-698.
41. Bouwen A., De Lepeleire J., Buntinx F. Rate of accidental falls in institutionalised older people with and without cognitive impairment halved as a result of a staff-oriented intervention. Age Ageing 2008, 37(3):306-310. Epub 2008/04/04.
42. Parsons L., Haque E., Liu H. Subspace clustering for high dimensional data: a review. Sigkdd Explorat 2004, 6(1):90-105.
43. Delbaere K., Close J.C., Brodaty H., Sachdev P., Lord S.R. Determinants of disparities between perceived and physiological risk of falling among elderly people: cohort study. BMJ (Clinical Research Ed) 2010, 341:c4165. [Epub 2010/08/21].
44. Field S.S. Interaction of genes and nutritional factors in the etiology of autism and attention deficit/hyperactivity disorders: a case control study. Med Hypotheses 2014, 82(6):654-661. [Epub 2014/04/02].
45. Horrobin D.F. A new concept of lifestyle-related cardiovascular disease: the importance of interactions between cholesterol, essential fatty acids, prostaglandin E1 and thromboxane A2. Med Hypotheses 1980, 6(8):785-800. [Epub 1980/08/01].
46. Hausdorff J.M., Rios D.A., Edelberg H.K. Gait variability and fall risk in community-living older adults: a 1-year prospective study. Arch Phys Med Rehabil 2001, 82(8):1050-1056. [Epub 2001/08/09].
47. Yack H.J., Berger R.C. Dynamic stability in the elderly: identifying a possible measure. J Gerontol 1993, 48(5):M225-M230. [Epub 1993/09/01].
48. Brodie M.A., Menz H.B., Smith S.T., Delbaere K., Lord S.R. Good lateral harmonic stability combined with adequate gait speed is required for low fall risk in older people. Gerontology 2014, [Epub 2014/08/21].
49. Brodie M.A., Menz H.B., Lord S.R. Age-associated changes in head jerk while walking reveal altered dynamic stability in older people. Exp Brain Res 2013, [Epub 2013/10/05].
50. Moe-Nilssen R. A new method for evaluating motor control in gait under real-life environmental conditions. Part 2: gait analysis. Clin Biomech 1998, 13(4-5):328-335.
51. Brodie MA, Lord SR, Smith ST, Menz HB. Accuracy of postural sway in gait measured with accelerometers. In: XXIV Congress of the International Society of Biomechanics; Natal, Brazil; 2013.
52. Agresti A. Modelling patterns of agreement and disagreement. Stat Methods Med Res 1992, 1(2):201-218. [Epub 1992/01/01].
53. Kaymak U., Ben-David A., Potharst R. The AUK: a simple alternative to the AUC. Eng Appl Artif Intell 2012.
54. McLachlan G. Cluster analysis and related techniques in medical research. Stat Methods Med Res 1992, 1(1):27-48.
55. Jurek A., Nugent C., Bi Y., Wu S. Clustering-based ensemble learning for activity recognition in smart homes. Sensors (Basel, Switzerland) 2014, 14(7):12285-12304. [Epub 2014/07/12].