[1] 国家卫生健康委老龄健康司. 2021年度国家老龄事业发展公报[EB/OL]. (2022-10-26)[2022-12-30]. http://www.nhc.gov.cn/lljks/pqt/202210/e09f046ab8f14967b19c3cb5c1d934b5.shtml.
[2] 秦华, 胡秀琼, 高萍, 等. 老年慢性病出院患者对居家护理服务的需求现状调查及影响因素分析[J]. 临床医学研究与实践, 2023, 8(15):1-4.
[3] PAZAN F, WEHLING M. Polypharmacy in older adults: a narrative review of definitions, epidemiology and consequences[J]. Eur Geriatr Med, 2021, 12(3):443-452.
[4] KESKINBORA K, GÜVEN F. Artificial intelligence and ophthalmology[J]. Turk J Ophthalmol, 2020, 50(1):37-43.
[5] ROMM E L, TSIGELNY I F. Artificial intelligence in drug treatment[J]. Annu Rev Pharmacol Toxicol, 2020, 60:353-369.
[6] ROCHON P A. Drug prescribing for older adults[EB/OL]. (2023-09-12)[2023-10-15]. https://www.uptodate.com/contents/drug-prescribing-for-older-adults.
[7] VARLEY A, CULLINAN J. Are payment methods for prescription drugs associated with polypharmacy in older adults in Ireland Evidence from the TILDA cohort study[J]. BMJ Open, 2020, 10(10):e036591.
[8] 舒冰,方玉婷,李民,等.老年多重用药患者潜在不适当用药情况及其影响因素研究[J]. 中国全科医学, 2021, 24(17):2134-2139, 2147.
[9] 闫巍, 陈雪, 丁静. 全科医师面对老年共病患者多重用药的应对策略[J]. 中国全科医学, 2020, 23(15):1859-1863, 1872.
[10] 刘杰. 门诊老年患者多重用药情况调查及不适当用药影响因素分析[J]. 中国社区医师, 2023, 39(17):148-150.
[11] 洪珮, 沈洪. 老年慢性病患者医院-家庭过渡期服药偏差研究进展[J]. 护理与康复, 2022, 21(3):75-78.
[12] TANG J, WANG K, YANG K, et al.A combination of Beers and STOPP criteria better detects potentially inappropriate medications use among older hospitalized patients with chronic diseases and polypharmacy: a multicenter crosssectional study[J]. BMC Geriatr, 2023, 23(1):44.
[13] ZHANG N, SUNDQUIST J, SUNDQUIST K, et al. An increasing trend in the prevalence of polypharmacy in Sweden: A Nationwide Register-Based Study[J]. Front Pharmacol, 2020, 11:326.
[14] CHEN C, FENG Z, FU Q, et al.Predictors of polypharmacy among elderly patients in China: the role of decision involvement, depression, and taking Chinese medicine behavior[J]. Front Pharmacol, 2021, 12:745688.
[15] YOUNG E H, PAN S, YAP A G, et al. Polypharmacy prevalence in older adults seen in United States physician offices from 2009 to 2016[J]. PLoS One, 2021, 16(8):e0255642.
[16] WASTESSON J W, MORIN L, TANE C K, et al. An update on the clinical consequences of polypharmacy in older adults: a narrative review[J]. Expert Opin Drug Saf, 2018, 17(12):1185-1196.
[17] ANDRES T M, MCGRANE T, MCEVOY M D, et al. Geriatric pharmacology: an update[J]. Anesthesiol Clin,2019, 37(3):475-492.
[18] 孙杨.2019CHINC发布《中国医疗人工智能发展报告》(2019)蓝皮书[EB/OL]. (2019-04-13)[2023-10-15]. https://www.cnhealthcare.com/article/20190413/content-517456.html.
[19] LIU P R, LU L, ZHANG J Y, et al.Application of artificial intelligence in medicine: An Overview[J]. Curr Med Sci, 2021, 41(6):1105-1115.
[20] 庹敏, 侯梦婷, 鲍娟. 人工智能在医疗领域的应用现状和思考[J]. 中国现代医生, 2022, 60(22):72-75.
[21] 沈惠文, 林永忠, 陈淑良, 等. 基于人工智能算法的脑卒中溶栓药物精准治疗:真实世界研究[J]. 中国全科医学, 2023, 26(17):2070-2077, 2088.
[22] 许凤锐. 人工智能决策系统在乳腺癌治疗应用中的探索性研究[D]. 北京:中国人民解放军军事科学院, 2020.
[23] POWELEIT E A, VINKS A A, MIZUNO T. Artificial intelligence and machine learning approaches to facilitate therapeutic drug management and model-informed precision dosing[J]. Ther Drug Monit, 2023, 45(2):143-150.
[24] 梁岚. 攀枝花市老年慢性病病人合理用药的调查研究[J]. 循证护理, 2020, 6(8):802-808.
[25] 毛佳伊. 智能药物管理系统优化及在老年慢性病患者住院-居家中的应用研究[D]. 重庆:重庆医科大学, 2022.
[26] 周昊林. 疾病AI诊疗中的用药信息采集及多药物联合分析[D]. 上海:东华大学, 2021.
[27] 杨英, 王庆, 滕威. 物联网健康管理模式对多重用药老年患者服药依从性及安全性的影响[J]. 中国医院用药评价与分析, 2022, 22(12):1480-1483, 1487.
[28] COOPER J A, CADOGAN C A, PATTERSON S M, et al. Interventions to improve the appropriate use of polypharmacy in older people: a cochrane systematic review[J]. BMJ Open, 2015, 5(12):e009235.
[29] LI Z, ZHU S, SHAO B, et al. DSN-DDI: an accurate and generalized framework for drug-drug interaction prediction by dual-view representation learning[J]. Brief Bioinform, 2023, 24(1):bbac597.
[30] 宗志鹏, 乔子耘, 张建军. 反馈系统控制:优化药物组合的人工智能新方法[J]. 沈阳医学院学报, 2019, 21(4):289-292.
[31] 李海龙,赵厚宇,詹思延.树状扫描统计量在药品安全性监测中的应用[J]. 药物流行病学杂志, 2018, 27(3):209-213.
[32] 徐家玥,胡巧织,徐珽. 运用全面触发工具监测心理卫生疾病住院患者药品不良事件[J].中国药物警戒, 2019, 16(6):352-359.
[33] HAMMANN F, GUTMANN H, VOGT N, et al.Prediction of adverse drug reaction using decision tree modeling[J]. Clin Pharmacol Ther, 2010, 88(1):52-59.
[34] HATMAL M M, AL-HATAMLEH M A I, OLAIMAT A N, et al. Side effects and perceptions following COVID-19 vaccination in Jordan: a randomized, cross-sectional study implementing machine learning forpredicting severity of side effects[J]. Vaccines: Basel, 2021, 9(6):556.
[35] 焦正, 李新刚, 尚德为, 等. 模型引导的精准用药:中国专家共识(2021版)[J]. 中国临床药理学与治疗学, 2021, 26(11):1215-1228.
[36] MAIER C, HARTUNG N, KLOFT C, et al. Reinforcement learning and Bayesian data assimilation for model-in for med precision dosing in oncology[J]. CPT Pharmacometrics Syst Pharmacol, 2021, 10(3):241-254. |
