136 related articles for article (PubMed ID: 38782170)
1. Causal fairness assessment of treatment allocation with electronic health records.
Zhang L; Richter LR; Wang Y; Ostropolets A; Elhadad N; Blei DM; Hripcsak G
J Biomed Inform; 2024 Jul; 155():104656. PubMed ID: 38782170
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias.
Ghai B; Mueller K
IEEE Trans Vis Comput Graph; 2023 Jan; 29(1):473-482. PubMed ID: 36155458
[TBL] [Abstract][Full Text] [Related]
4. Preparing for the bedside-optimizing a postpartum depression risk prediction model for clinical implementation in a health system.
Liu Y; Joly R; Reading Turchioe M; Benda N; Hermann A; Beecy A; Pathak J; Zhang Y
J Am Med Inform Assoc; 2024 May; 31(6):1258-1267. PubMed ID: 38531676
[TBL] [Abstract][Full Text] [Related]
5. Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases.
Wang Y; Wang L; Zhou Z; Laurentiev J; Lakin JR; Zhou L; Hong P
J Biomed Inform; 2024 Jun; 156():104677. PubMed ID: 38876453
[TBL] [Abstract][Full Text] [Related]
6. Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities.
Paulus JK; Kent DM
NPJ Digit Med; 2020; 3():99. PubMed ID: 32821854
[TBL] [Abstract][Full Text] [Related]
7. Guiding Principles to Address the Impact of Algorithm Bias on Racial and Ethnic Disparities in Health and Health Care.
Chin MH; Afsar-Manesh N; Bierman AS; Chang C; Colón-Rodríguez CJ; Dullabh P; Duran DG; Fair M; Hernandez-Boussard T; Hightower M; Jain A; Jordan WB; Konya S; Moore RH; Moore TT; Rodriguez R; Shaheen G; Snyder LP; Srinivasan M; Umscheid CA; Ohno-Machado L
JAMA Netw Open; 2023 Dec; 6(12):e2345050. PubMed ID: 38100101
[TBL] [Abstract][Full Text] [Related]
8. Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare.
Wang T; Zhang K; Cai J; Gong Y; Choo KR; Guo Y
J Healthc Inform Res; 2024 Jun; 8(2):181-205. PubMed ID: 38681759
[TBL] [Abstract][Full Text] [Related]
9. Redevelopment and validation of the SYNTAX score II to individualise decision making between percutaneous and surgical revascularisation in patients with complex coronary artery disease: secondary analysis of the multicentre randomised controlled SYNTAXES trial with external cohort validation.
Takahashi K; Serruys PW; Fuster V; Farkouh ME; Spertus JA; Cohen DJ; Park SJ; Park DW; Ahn JM; Kappetein AP; Head SJ; Thuijs DJ; Onuma Y; Kent DM; Steyerberg EW; van Klaveren D;
Lancet; 2020 Oct; 396(10260):1399-1412. PubMed ID: 33038944
[TBL] [Abstract][Full Text] [Related]
10. Evaluating and Improving the Performance and Racial Fairness of Algorithms for GFR Estimation.
Zhang L; Richter LR; Kim T; Hripcsak G
medRxiv; 2024 Jan; ():. PubMed ID: 38260285
[TBL] [Abstract][Full Text] [Related]
11. The Causal Fairness Field Guide: Perspectives From Social and Formal Sciences.
Carey AN; Wu X
Front Big Data; 2022; 5():892837. PubMed ID: 35574571
[TBL] [Abstract][Full Text] [Related]
12. Evaluating and mitigating bias in machine learning models for cardiovascular disease prediction.
Li F; Wu P; Ong HH; Peterson JF; Wei WQ; Zhao J
J Biomed Inform; 2023 Feb; 138():104294. PubMed ID: 36706849
[TBL] [Abstract][Full Text] [Related]
13. Quantifying Health Outcome Disparity in Invasive Methicillin-Resistant Staphylococcus aureus Infection using Fairness Algorithms on Real-World Data.
Jun I; Ser SE; Cohen SA; Xu J; Lucero RJ; Bian J; Prosperi M
Pac Symp Biocomput; 2024; 29():419-432. PubMed ID: 38160296
[TBL] [Abstract][Full Text] [Related]
14. From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of data-driven decision-making.
Kuppler M; Kern C; Bach RL; Kreuter F
Front Sociol; 2022; 7():883999. PubMed ID: 36299413
[TBL] [Abstract][Full Text] [Related]
15. Evaluating the fairness and accuracy of machine learning-based predictions of clinical outcomes after anatomic and reverse total shoulder arthroplasty.
Allen C; Kumar V; Elwell J; Overman S; Schoch BS; Aibinder W; Parsons M; Watling J; Ko JK; Gobbato B; Throckmorton T; Routman H; Roche CP
J Shoulder Elbow Surg; 2024 Apr; 33(4):888-899. PubMed ID: 37703989
[TBL] [Abstract][Full Text] [Related]
16. Causal evidence in health decision making: methodological approaches of causal inference and health decision science.
Kühne F; Schomaker M; Stojkov I; Jahn B; Conrads-Frank A; Siebert S; Sroczynski G; Puntscher S; Schmid D; Schnell-Inderst P; Siebert U
Ger Med Sci; 2022; 20():Doc12. PubMed ID: 36742460
[TBL] [Abstract][Full Text] [Related]
17. Conceptualising fairness: three pillars for medical algorithms and health equity.
Sikstrom L; Maslej MM; Hui K; Findlay Z; Buchman DZ; Hill SL
BMJ Health Care Inform; 2022 Jan; 29(1):. PubMed ID: 35012941
[TBL] [Abstract][Full Text] [Related]
18. Causal machine learning for predicting treatment outcomes.
Feuerriegel S; Frauen D; Melnychuk V; Schweisthal J; Hess K; Curth A; Bauer S; Kilbertus N; Kohane IS; van der Schaar M
Nat Med; 2024 Apr; 30(4):958-968. PubMed ID: 38641741
[TBL] [Abstract][Full Text] [Related]
19. Making causal inferences from transactional data: A narrative review of opportunities and challenges when implementing the target trial framework.
Esteban S; Szmulewicz A
J Int Med Res; 2024 Mar; 52(3):3000605241241920. PubMed ID: 38548473
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
