Table 1.
Characteristics of the included studies (N=15).
| Type of cancer and study | Country | Study type | Treatment | Sample size | Algorithms | Input features (total number of features) | Outcome | |||||||||||||||
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Training | Testing | Validating |
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| All cancer | ||||||||||||||||||||||
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Sena et al [38] | Brazil | 1b | All | 543 | N/Aa | N/A | DTb, ANNc, and NBd | Comorbidity and PROe for physical and mental status assessments (9) | 180-day death | ||||||||||||
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Parikh et al [39] | United States | 2a | All | 18,567 | 7958 | N/A | GBTf and RFg | Demographic, clinicopathologic, laboratory, comorbidity, and electrocardiogram data (599) | 180-day death | ||||||||||||
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Manz et al [37] | United States | 4 | All | N/A | N/A | 24,582 | GBT | Same as Parikh et al [39] | 180-day death | ||||||||||||
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Bertsimas et al [50] | United States | 2a | All | 14,427 | 9556 | N/A | DT, regularized LRh, and GBT | Demographic, clinicopathologic, gene mutations, prior treatment, comorbidity, use of health care resources, vital signs, and laboratory data (401) | 180-day death | ||||||||||||
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|
Elfiky et al [43] | United States | 2b | All | 17,832 | 9114 | N/A | GBT | Demographic, clinicopathologic, prescription, comorbidity, laboratory, vital sign, and use of health care resources data and physician notes (5390) | 180-day death | ||||||||||||
| Non–small cell lung cancer | ||||||||||||||||||||||
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Hanai et al [44] | Japan | 2b | Curative resection | 125 | 48 | N/A | ANN | Demographic, clinicopathologic, and tumor entity data (17) | 1-year death | ||||||||||||
| Gastric cancer | ||||||||||||||||||||||
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Nilsaz-Dezfouli et al [45] | Iran | 1b | Surgery | 452 | N/A | N/A | ANN | Demographic, clinicopathologic, tumor entity, and prior treatment (20) | 1-year death | ||||||||||||
| Colon and rectum cancer | ||||||||||||||||||||||
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Arostegui et al [46] | Spain | 2a | Curative or palliative surgery | 981 | 964 | N/A | DT and regularized LR | Demographic, clinicopathologic, tumor entity, comorbidity, ASAi prior treatment, laboratory, operational data, postoperational complication, and use of health care resources data (32) | 1-year death | ||||||||||||
| Stomach cancer | ||||||||||||||||||||||
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Biglarian et al [47] | Iran | 2a | Surgery | 300 | 136 | N/A | ANN | Demographic, clinicopathologic, and symptom data (NRj) | 1-year death | ||||||||||||
| Bladder cancer | ||||||||||||||||||||||
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Klén et al [48] | Turkey | 2a | Radical cystectomy | 733 | 366 | N/A | Regularized LR | Demographic, clinicopathologic, ASA, comorbidity, laboratory, prior treatment, tomography, and operational data (NR) | 90-day death | ||||||||||||
| Hepatocellular carcinoma | ||||||||||||||||||||||
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Chiu et al [49] | Taiwan | 2a | Liver resection | 347 | 87 | N/A | ANN | Demographic, clinicopathologic, tumor entity, comorbidity, ASA, laboratory, operational, and postoperational data (21) | 1-year death | ||||||||||||
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Zhang et al [40] | China | 2a | Liver transplant | 230 | 60 | N/A | ANN | Donor demographic data and recipient laboratory, clinicopathologic, and image data (14) | 1-year death | ||||||||||||
| Spinal metastatic | ||||||||||||||||||||||
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Karhade et al [41] | United States | 2a | Surgery | 1432 | 358 | N/A | ANN, SVMk, DT, and BPMl | Demographic, clinicopathologic, tumor entity, ASA, laboratory, and operational data (23) | 30-day death | ||||||||||||
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Karhade et al [42] | United States | 2a | Surgery | 587 | 145 | N/A | SGBm, RF, ANN, SVM, and regularized LR | Demographic, clinicopathologic, tumor entity, laboratory, operational, ECOGn, ASIAo, and prior treatment data (29) | 90-day death | ||||||||||||
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Karhade et al [36] | United States | 4 | Curative surgery | N/A | N/A | 176 | SGB | ECOG, demographic, clinicopathologic, tumor entity, laboratory, prior treatment, and ASIA data (23) | 1-year death | ||||||||||||
aN/A: not applicable.
bDT: decision tree.
cANN: artificial neural network.
dNB: naive Bayes.
ePRO: patient-reported outcome.
fGBT: gradient-boosted tree.
gRF: random forest.
hLR: logistic regression.
iASA: American Sociological Association.
jNR: not reported.
kSVM: support vector machine.
lBPM: Bayes point machine.
mSGB: stochastic gradient boosting.
nECOG: Eastern Cooperative Oncology Group.
oASIA: American Spinal Injury Association.