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Artificial Intelligence in Health                                    Movement detection with sensors and AI



               Injury  Statistics  Query  and  Reporting System  (WISQARS).      doi: 10.1038/s41598-022-18805-5.
               National Center for Injury Prevention and Control, Centers   13.  Bekbolatova M, Mayer J, Ong CW, Toma M. Transformative
               for Disease Control and Prevention (Producer); 2023.   potential of AI in healthcare: Definitions, applications, and
               Available from: https://www.cdc.gov/ncipc/wisqars [Last   navigating the ethical landscape and public perspectives.
               accessed on 2023 Dec 22].
                                                                  Healthcare. 2024;12(2):125.
            3.   Eost-Telling C, Yang Y, Norman G, et al. Digital technologies      doi: 10.3390/healthcare12020125
               to prevent falls in people  living with dementia or mild
               cognitive impairment: A  rapid systematic overview of   14.  Toma M, Wei OC. Predictive modeling in medicine.
               systematic reviews. Age Ageing. 2024;53:afad238.   Encyclopedia. 2023;3(2):590-601.
               doi: 10.1093/ageing/afad238                        doi: 10.3390/encyclopedia3020042

            4.   Wang Y, Jiang M, He M, Du M. Design and implementation   15.  Mayer J, Jose R, Kurgansky G, et al. Evaluating the feasibility
               of  an  inpatient  fall  risk  management  information  system.   of euler angles for bed-based patient movement monitoring.
               JMIR Med Inform. 2024;12:e46501.                   Signals. 2023;4(4):788-799.
               doi: 10.2196/46501                                 doi: 10.3390/signals4040043
            5.   Dykes PC, Burns Z, Adelman J, et al. Evaluation of a patient-  16.  Chou CY, Hsu DY, Chou CH. Predicting the onset of diabetes
               centered fall-prevention tool kit to reduce falls and injuries:   with machine learning methods. J Pers Med. 2023;13(3):406.
               A  nonrandomized controlled trial.  JAMA Netw Open.      doi: 10.3390/jpm13030406
               2020;3(11):e2025889.
                                                               17.  Abraham A, Jose R, Ahmad J, et al. Comparative analysis
               doi: 10.1001/jamanetworkopen.2020.25889            of machine learning models for image detection of colonic
                                                                  polyps vs. Resected polyps. J Imaging. 2023;9(10):215.
            6.   Zubrinic M, Vrbanic L, Keshavjee S. Remote telemonitoring
               is  associated  with  improved  patient  safety  and  decreased      doi: 10.3390/jimaging9100215
               workload of nurses. JTCVS Open. 2023;16:493-497.
                                                               18.  Jose R, Syed F, Thomas A, Toma M. Cardiovascular
               doi: 10.1016/j.xjon.2023.09.014                    health management in diabetic patients with machine-
                                                                  learning-driven predictions and interventions.  Appl Sci.
            7.   Morse  JM.  Preventing  Patient  Falls. Berlin:  Springer
               Publishing Company; 2008.                          2024;14(5):2132.
                                                                  doi: 10.3390/app14052132
            8.   Mcvey L, Alvarado  N, Zaman H,  et al. Interactions that
               support  older  inpatients  with  cognitive  impairments to   19.  Jose R, Thomas A, Guo J, Steinberg R, Toma M. Evaluating
               engage with falls prevention in hospitals: An ethnographic   machine learning models for prediction of coronary artery
               study. J Clin Nurs. 2024;33:1884-1895.             disease. Glob Transl Med. 2024;3(1):2669.
               doi: 10.1111/jocn.17006                            doi: 10.36922/gtm.2669
            9.   Fields MC, Labovitz DL, French JA. Hospital-onset seizures:   20.  Freitas ME, Ruiz-Lopez M, Dalmau J,  et al. Seizures and
               An inpatient study. JAMA Neurol. 2013;70(3):360-364.  movement disorders: Phenomenology, diagnostic challenges
                                                                  and therapeutic approaches. J Neurol Neurosurg Psychiatry.
               doi: 10.1001/2013.jamaneurol.337                   2019;90(8):920-928.
            10.  Tsai ER, Demirtas D, Hoogendijk N, Tintu AN,      doi: 10.1136/jnnp-2018-320039
               Boucherie RJ. Turnaround time prediction for clinical
               chemistry samples using machine learning. Clin Chem Lab   21.  Song W, Latham NK, Liu L, et al. Improved accuracy and
               Med. 2022;60(12):1902-1910.                        efficiency of primary care fall risk screening of older adults
                                                                  using a machine learning approach.  J  Am Geriatr Soc.
               doi: 10.1515/cclm-2022-0668                        2024;72:1145-1154.
            11.  Evrimler S, Ali Gedik M, Ahmet Serel T, Ertunc O,      doi: 10.1111/jgs.18776
               Alperen Ozturk S, Soyupek S. Bladder urothelial carcinoma:
               Machine learning-based computed tomography radiomics   22.  Durán-Vega LA, Santana-Mancilla PC, Buenrostro-Mariscal R,
               for prediction of histological variant.  Acad Radiol.   et al. An IoT system for remote health monitoring in elderly
               2022;29(11):1682-1689.                             adults through a wearable device and mobile application.
                                                                  Geriatrics (Basel). 2019;4(2):34.
               doi: 10.1016/j.acra.2022.02.007
                                                                  doi: 10.3390/geriatrics4020034
            12.  Rye I, Vik A, Kocinski M, Lundervold AS, Lundervold AJ.
               Predicting conversion to Alzheimer’s disease in individuals   23.  Oliver D, Healey F, Haines TP. Preventing falls and fall-related
               with Mild Cognitive Impairment using clinically transferable   injuries in hospitals. Clin Geriatr Med. 2010;26(4):645-692.
               features. Sci Rep. 2022;12(1):15566.               doi: 10.1016/j.cger.2010.06.005


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