{"id":"W4224299761","doi":"10.2196/33799","title":"Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review","year":2022,"lang":"en","type":"review","venue":"JMIR Medical Informatics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jilin Scientific and Technological Development Program; National Natural Science Foundation of China","keywords":"Health records; Cancer; Systematic review; Electronic health record; Data science; Computer science; Artificial intelligence; MEDLINE; Medicine; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01776249,0.001187999,0.007082509,0.01715611,0.00064131,0.003620383,0.002546907,0.002129949,0.004251485],"category_scores_gemma":[0.1320205,0.001054459,0.006891743,0.02349845,0.001175858,0.004478399,0.001764614,0.00139695,0.0003703963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004379735,"about_ca_system_score_gemma":0.01464056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007179624,"about_ca_topic_score_gemma":0.01431721,"domain_scores_codex":[0.9740218,0.009248883,0.01090134,0.001349409,0.004076214,0.0004023067],"domain_scores_gemma":[0.8284646,0.1334483,0.02564728,0.00221922,0.009543528,0.0006771819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001127997,0.00001791248,0.001823889,0.9520403,0.008107582,0.00007404602,0.00025162,0.0001028207,0.00005041878,0.0002156263,0.00143759,0.03576541],"study_design_scores_gemma":[0.0001445997,0.0001323089,0.005833341,0.9459825,0.03464808,0.0002583908,0.0003509566,0.0001191092,0.0001255141,0.0003019788,0.01207,0.00003327577],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001722571,0.995681,0.0003218447,0.0005259387,0.0001435356,0.0004518891,0.0007005085,0.00001155119,0.0004411149],"genre_scores_gemma":[0.02505487,0.9711207,0.001417014,0.0007019176,0.0001222636,0.0009596754,0.000506081,0.000008263101,0.0001091352],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01776249,"threshold_uncertainty_score":0.09393811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1903957460329777,"score_gpt":0.5176584045745093,"score_spread":0.3272626585415316,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}