169 related articles for article (PubMed ID: 37641038)
1. Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study.
Twait EL; Andaur Navarro CL; Gudnason V; Hu YH; Launer LJ; Geerlings MI
BMC Med Inform Decis Mak; 2023 Aug; 23(1):168. PubMed ID: 37641038
[TBL] [Abstract][Full Text] [Related]
2. Dementia risk prediction in individuals with mild cognitive impairment: a comparison of Cox regression and machine learning models.
Wang M; Greenberg M; Forkert ND; Chekouo T; Afriyie G; Ismail Z; Smith EE; Sajobi TT
BMC Med Res Methodol; 2022 Nov; 22(1):284. PubMed ID: 36324086
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a machine learning-based predictive model for assessing the 90-day prognostic outcome of patients with spontaneous intracerebral hemorrhage.
Geng Z; Yang C; Zhao Z; Yan Y; Guo T; Liu C; Wu A; Wu X; Wei L; Tian Y; Hu P; Wang K
J Transl Med; 2024 Mar; 22(1):236. PubMed ID: 38439097
[TBL] [Abstract][Full Text] [Related]
4. Comparative study of machine learning methods for modeling associations between risk factors and future dementia cases.
Valsdóttir V; Jónsdóttir MK; Magnúsdóttir BB; Chang M; Hu YH; Gudnason V; Launer LJ; Stefánsson H
Geroscience; 2024 Feb; 46(1):737-750. PubMed ID: 38135769
[TBL] [Abstract][Full Text] [Related]
5. Performance of Machine Learning Algorithms for Predicting Progression to Dementia in Memory Clinic Patients.
James C; Ranson JM; Everson R; Llewellyn DJ
JAMA Netw Open; 2021 Dec; 4(12):e2136553. PubMed ID: 34913981
[TBL] [Abstract][Full Text] [Related]
6. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
[TBL] [Abstract][Full Text] [Related]
7. Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models.
Jalali-Najafabadi F; Stadler M; Dand N; Jadon D; Soomro M; Ho P; Marzo-Ortega H; Helliwell P; Korendowych E; Simpson MA; Packham J; Smith CH; Barker JN; McHugh N; Warren RB; Barton A; Bowes J; ;
Sci Rep; 2021 Dec; 11(1):23335. PubMed ID: 34857774
[TBL] [Abstract][Full Text] [Related]
8. Use of Patient-Reported Symptoms from an Online Symptom Tracking Tool for Dementia Severity Staging: Development and Validation of a Machine Learning Approach.
Shehzad A; Rockwood K; Stanley J; Dunn T; Howlett SE
J Med Internet Res; 2020 Nov; 22(11):e20840. PubMed ID: 33174853
[TBL] [Abstract][Full Text] [Related]
9. Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?
Fontana MA; Lyman S; Sarker GK; Padgett DE; MacLean CH
Clin Orthop Relat Res; 2019 Jun; 477(6):1267-1279. PubMed ID: 31094833
[TBL] [Abstract][Full Text] [Related]
10. Development of a Late-Life Dementia Prediction Index with Supervised Machine Learning in the Population-Based CAIDE Study.
Pekkala T; Hall A; Lötjönen J; Mattila J; Soininen H; Ngandu T; Laatikainen T; Kivipelto M; Solomon A
J Alzheimers Dis; 2017; 55(3):1055-1067. PubMed ID: 27802228
[TBL] [Abstract][Full Text] [Related]
11. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
[TBL] [Abstract][Full Text] [Related]
12. A Risk Prediction Model Based on Machine Learning for Cognitive Impairment Among Chinese Community-Dwelling Elderly People With Normal Cognition: Development and Validation Study.
Hu M; Shu X; Yu G; Wu X; Välimäki M; Feng H
J Med Internet Res; 2021 Feb; 23(2):e20298. PubMed ID: 33625369
[TBL] [Abstract][Full Text] [Related]
13. A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population.
Chowdhury MZI; Leung AA; Walker RL; Sikdar KC; O'Beirne M; Quan H; Turin TC
Sci Rep; 2023 Jan; 13(1):13. PubMed ID: 36593280
[TBL] [Abstract][Full Text] [Related]
14. Factors to improve odds of success following medial opening-wedge high tibial osteotomy: a machine learning analysis.
Yang HY; Shin YG; Shin HH; Choi JH; Seon JK
BMC Musculoskelet Disord; 2024 Apr; 25(1):323. PubMed ID: 38658876
[TBL] [Abstract][Full Text] [Related]
15. Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?
El-Galaly A; Grazal C; Kappel A; Nielsen PT; Jensen SL; Forsberg JA
Clin Orthop Relat Res; 2020 Sep; 478(9):2088-2101. PubMed ID: 32667760
[TBL] [Abstract][Full Text] [Related]
16. Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation.
Afzali MH; Sunderland M; Stewart S; Masse B; Seguin J; Newton N; Teesson M; Conrod P
Addiction; 2019 Apr; 114(4):662-671. PubMed ID: 30461117
[TBL] [Abstract][Full Text] [Related]
17. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
[TBL] [Abstract][Full Text] [Related]
18. Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches.
Ford E; Rooney P; Oliver S; Hoile R; Hurley P; Banerjee S; van Marwijk H; Cassell J
BMC Med Inform Decis Mak; 2019 Dec; 19(1):248. PubMed ID: 31791325
[TBL] [Abstract][Full Text] [Related]
19. The Impact of Time Horizon on Classification Accuracy: Application of Machine Learning to Prediction of Incident Coronary Heart Disease.
Simon S; Mandair D; Albakri A; Fohner A; Simon N; Lange L; Biggs M; Mukamal K; Psaty B; Rosenberg M
JMIR Cardio; 2022 Nov; 6(2):e38040. PubMed ID: 36322114
[TBL] [Abstract][Full Text] [Related]
20. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
