{"id":"W4292405971","doi":"10.2196/37984","title":"Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tweets","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Manitoba","funders":"Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); Social media; Medicine; Confidence interval; Depression (economics); Chest pain; Sentiment analysis; Pandemic; Psychology; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001897038,0.0007386608,0.0009028956,0.004958588,0.0006385071,0.001413418,0.0006189352,0.0007649762,0.0009318517],"category_scores_gemma":[0.007705196,0.0002564983,0.001228037,0.003420785,0.0003213275,0.001222529,0.0009196001,0.0008489803,0.0006988172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005535769,"about_ca_system_score_gemma":0.0006274828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003725423,"about_ca_topic_score_gemma":0.0047325,"domain_scores_codex":[0.9981346,0.0004029808,0.0004614842,0.000432678,0.0003816499,0.0001866974],"domain_scores_gemma":[0.9937885,0.003658543,0.001365711,0.0002029649,0.000754399,0.0002297759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008011076,0.000790715,0.7941071,0.001036588,0.0005363175,0.001902151,0.001538074,0.008174766,0.009599444,0.0006242145,0.009918809,0.1709707],"study_design_scores_gemma":[0.00008376841,0.0006132785,0.5451649,0.0004287951,0.0005365608,0.002139652,0.006030819,0.4219497,0.007837162,0.004483813,0.01060323,0.0001284009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596339,0.001004758,0.01908238,0.001418687,0.0001918046,0.0005414688,0.01547136,0.0003715838,0.002284017],"genre_scores_gemma":[0.9557516,0.0005350357,0.03215788,0.0002376449,0.0001980161,0.0003430987,0.01021134,0.00002095934,0.0005444259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004958588,"threshold_uncertainty_score":0.01003259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03186389814604484,"score_gpt":0.4002723702355629,"score_spread":0.368408472089518,"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."}}