Benchmarking AutoML frameworks for disease prediction using medical claims

[1] Luo G(2017)Automating construction of machine learning models with clinical big data: Proposal rationale and methods JMIR Res Protoc 6 175-28

[2] Stone BL(2020)Machine-learning-based prediction models for high-need high-cost patients using nationwide clinical and claims data NPJ Dig Med 3 148-78

[3] Johnson MD(2013)Leveraging big data analytics to reduce healthcare costs IT Prof 15 21-79

[4] Tarczy-Hornoch P(2020)Automated machine learning: Review of the state-of-the-art and opportunities for healthcare Artif Intell Med 104 101822-82

[5] Wilcox AB(2016)Prediction of in-hospital mortality in emergency department patients with sepsis: A local big data–driven, machine learning approach Acad Emerg Med 23 269-72

[6] Mooney SD(2017)Disease prediction by machine learning over big data from healthcare communities IEEE Access 5 8869-16

[7] Sheng X(1997)No free lunch theorems for optimization IEEE Trans Evol Comput 1 67-13

[8] Haug PJ(2021)Benchmark and survey of automated machine learning frameworks J Artif Intell Res 70 409-16

[9] Nkoy FL(2020)Mlperf: An industry standard benchmark suite for machine learning performance IEEE Micro 40 8-13

[10] Osawa I(2017)Pmlb: a large benchmark suite for machine learning evaluation and comparison BioData Min 10 1-12

[1] Luo G(2017)Automating construction of machine learning models with clinical big data: Proposal rationale and methods JMIR Res Protoc 6 175-28

[2] Stone BL(2020)Machine-learning-based prediction models for high-need high-cost patients using nationwide clinical and claims data NPJ Dig Med 3 148-78

[3] Johnson MD(2013)Leveraging big data analytics to reduce healthcare costs IT Prof 15 21-79

[4] Tarczy-Hornoch P(2020)Automated machine learning: Review of the state-of-the-art and opportunities for healthcare Artif Intell Med 104 101822-82

[5] Wilcox AB(2016)Prediction of in-hospital mortality in emergency department patients with sepsis: A local big data–driven, machine learning approach Acad Emerg Med 23 269-72

[6] Mooney SD(2017)Disease prediction by machine learning over big data from healthcare communities IEEE Access 5 8869-16

[7] Sheng X(1997)No free lunch theorems for optimization IEEE Trans Evol Comput 1 67-13

[8] Haug PJ(2021)Benchmark and survey of automated machine learning frameworks J Artif Intell Res 70 409-16

[9] Nkoy FL(2020)Mlperf: An industry standard benchmark suite for machine learning performance IEEE Micro 40 8-13

[10] Osawa I(2017)Pmlb: a large benchmark suite for machine learning evaluation and comparison BioData Min 10 1-12