Page 145 - 南京医科大学自然版
P. 145
第44卷第11期 李安岚,俞曼殊,盛梅笑. 腹膜透析患者临床结局预后风险预测方法研究进展[J].
2024年11月 南京医科大学学报(自然科学版),2024,44(11):1605-1611 ·1611 ·
score in patients on peritoneal dialysis[J]. Front Nutr, constructing large and complex cranial defects using an
2022,9:912642 image ⁃ based statistical shape model[J]. J Med Syst,
[30]DO J Y,KIM A Y,KANG S H. Association between phase 2024,48(1):55
angle and sarcopenia in patients undergoing peritoneal [44]CARANFIL E,LAMI K,UEGAMI W,et al. Artificial in⁃
dialysis[J]. Front Nutr,2021,8:742081 telligence and lung pathology[J/OL]. Adv Anat Pathol,
[31]WEN Y Q,ZHAN X J,WANG N S,et al. Monocyte/lym⁃ 2024(2024 ⁃ 05 ⁃ 23)[2024 ⁃ 05 ⁃ 27]. DOI:10.1097/
phocyte ratio and cardiovascular disease mortality in peri⁃ PAP.0000000000000448
toneal dialysis patients[J]. Mediators Inflamm,2020, [45]VAMATHEVAN J,CLARK D,CZODROWSKI P,et al.
2020:9852507 Applications of machine learning in drug discovery and
[32]ROSALES C. Neutrophils at the crossroads of innate and development[J]. Nat Rev Drug Discov,2019,18(6):
adaptive immunity[J]. J Leukoc Biol,2020,108(1): 463-477
377-396 [46]DASHTBAN A,MIZANI M A,PASEA L,et al. Identify⁃
[33]HUANG N Y,LI H Y,FAN L,et al. Serum phosphorus ing subtypes of chronic kidney disease with machine
and albumin in patients undergoing peritoneal dialysis:in⁃ learning:development,internal validation and prognostic
teraction and association with mortality[J]. Front Med, validation using linked electronic health records in
2021,8:760394 350 067 individuals[J]. EBio Medicine,2023,89:104489
[34]YU Y,ZHONG Z,YANG W Z,et al. Neutrophil percent⁃ [47]DACK E,CHRISTE A,FONTANELLAZ M,et al. Artifi⁃
age⁃to⁃albumin ratio and risk of mortality in patients on cial intelligence and interstitial lung disease:diagnosis
peritoneal dialysis[J]. J Inflamm Res,2023,16:6271- and prognosis[J]. Invest Radiol,2023,58(8):602-609
6281 [48]SMITH L A,OAKDEN⁃RAYNER L,BIRD A,et al. Ma⁃
[35]李 洋,王亚芬,李 相,等. TyG、CRP/Alb、25(OH)D chine learning and deep learning predictive models for
与维持性腹膜透析患者预后的关联性[J]. 中国医师杂 long ⁃ term prognosis in patients with chronic obstructive
志,2022,24(9):1335-1339 pulmonary disease:a systematic review and meta⁃analy⁃
[36]罗亚维,冯 胜,沈华英,等. C反应蛋白/白蛋白比值是 sis[J]. Lancet Digit Health,2023,5(12):e872-e881
腹膜透析患者死亡的独立影响因素[J]. 中华肾脏病杂 [49]XU L P,CAO F,WANG L,et al. Machine learning model
志,2022,38(6):528-535 and nomogram to predict the risk of heart failure hospital⁃
[37]MA S,CAI Y M,WANG Z,et al. Derivation and valida⁃ ization in peritoneal dialysis patients[J]. Ren Fail,2024,
tion of a risk score predicting risk of early⁃onset peritoni⁃ 46(1):2324071
tis among patients initializing peritoneal dialysis:a cohort [50]YANG J,WAN J F,FENG L,et al. Machine learning algo⁃
study[J]. Int J Infect Dis,2020,99:301-306 rithms for the prediction of adverse prognosis in patients
[38]WANG Y X,SHEN Q Q,WANG J N,et al. The risk fac⁃ undergoing peritoneal dialysis[J]. BMC Med Inform De⁃
tors and predictive model for cardiac valve calcification in cis Mak,2024,24(1):8
patients on maintenance peritoneal dialysis:a single⁃cen⁃ [51]ZANG Z Y,XU Q J,ZHOU X L,et al. Random forest can
ter retrospective study[J]. Ren Fail,2023,45(2): accurately predict the technique failure of peritoneal dialy⁃
2271069 sis associated peritonitis patients[J]. Front Med,2023,
[39]刘晨媛,吴娟洁,董金玲,等. 腹膜透析患者感染的影响 10:1335232
因素及其风险预测列线图模型[J]. 中华医院感染学杂 [52]唐 雯,高峻逸,马辛宇,等. 循环神经网络模型在腹膜
志,2023,33(20):3185-3189 透析临床预后预测中的初步应用[J]. 北京大学学报
[40]陈 婷,龙海波,黄千殷,等. 预测腹膜透析患者预后模 (医学版),2019,51(3):602-608
型的构建与验证[J]. 中华肾脏病杂志,2020,36(9): [53]XU Z Y,XU X,ZHU X M,et al. Attention⁃based deep
680-687 learning model for prediction of major adverse cardiovas⁃
[41]KANG S H,DO J Y. Phase angle as a risk factor for mor⁃ cular events in peritoneal dialysis patients[J]. IEEE J
tality in patients undergoing peritoneal dialysis[J]. Nutri⁃ Biomed Health Inform,2024,28(2):1101-1109
ents,2023,15(23):4991 [54]MA L T,ZHANG C H,GAO J Y,et al. Mortality predic⁃
[42]HUANG D D,LI Y Y,QI X M,et al. A nomogram pre⁃ tion with adaptive feature importance recalibration for
dicts cardiovascular events in patients with peritoneal peritoneal dialysis patients[J]. Patterns,2023,4(12):
dialysis⁃associated peritonitis[J]. Ren Fail,2022,44(1): 100892
1558-1567 [收稿日期] 2024-05-27
[43]LI J N,ELLIS D G,PEPE A,et al. Back to the roots:re⁃ (本文编辑:陈汐敏)