Machine learning-based techniques to improve lung transplantation outcomes and complications: a systematic review

Table 7 The results of the quality assessment of reviewed articles

Author	Limits in current non-machine learning approach	Feature engineering	Platforms, packages	Hyperparameters	Valid methods for over-fitting	Stability of results	External data validation	Predictors explanation	Suggested clinical use	Score
Troiani and Carlin [29]	Yes	No	Yes	Yes	No	No	Yes	Yes	Yes	6
Oztekin. A et al. [30]	Yes	No	Yes	Yes	Yes	Yes	No	Yes	Yes	7
Delen. D et al. [31]	Yes	No	Yes	Yes	Yes	Yes	No	Yes	Yes	7
Oztekin. A et al. [32]	Yes	No	Yes	Yes	Yes	Yes	No	No	Yes	6
Hosseini-Baharanchi. F et al. [19]	Yes	No	Yes	No	No	Yes	No	Yes	Yes	5
Pande. A et al. [20]	Yes	No	Yes	Yes	Yes	No	No	Yes	Yes	6
Barbosa. E et al. [33]	Yes	Yes	Yes	No	No	No	No	Yes	Yes	5
Oztekin.A et al. [22]	Yes	No	Yes	Yes	No	No	Yes	No	Yes	5
Barbosa.E. et al. [21]	Yes	Yes	Yes	Yes	No	Yes	Yes	Yes	Yes	8
Mark.E et al. [13]	Yes	Yes	Yes	No	No	Yes	No	Yes	Yes	6
Braccioni.F et al. [23]	Yes	No	Yes	Yes	No	Yes	No	Yes	Yes	6
Dueñas-Jurado.J et al. [24]	Yes	Yes	Yes	No	No	Yes	No	Yes	Yes	6
Shaish.H et al. [25]	Yes	No	Yes	Yes	Yes	Yes	Yes	Yes	Yes	8
Zafar.F et al. [28]	Yes	Yes	Yes	No	No	Yes	Yes	Yes	Yes	7
Su.J et al. [27]	Yes	Yes	Yes	Yes	No	No	Yes	Yes	Yes	7
Stefanuto.P et al. [26]	Yes	Yes	Yes	Yes	Yes	Yes	No	No	Yes	7

ISSN: 1471-2288