{"id":"W3135358268","doi":"10.1109/access.2021.3064826","title":"ANN Assisted-IoT Enabled COVID-19 Patient Monitoring","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"King Saud University; Deanship of Scientific Research, King Saud University; Tomsk Polytechnic University","keywords":"Artificial neural network; Decision tree; Fuzzy logic; Process (computing); Identification (biology); Bayesian network; Naive Bayes classifier; Random tree; Scheme (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0003884583,0.0005296678,0.000514213,0.0008553906,0.0003143525,0.000624455,0.0005972403,0.0006605255,0.002365915],"category_scores_gemma":[0.000919906,0.0001676561,0.0004139873,0.0005410072,0.0001230725,0.0004563268,0.000436491,0.0004237315,0.0006484727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004436564,"about_ca_system_score_gemma":0.0003808625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002641404,"about_ca_topic_score_gemma":0.003442413,"domain_scores_codex":[0.9997321,0.00005190242,0.00002415566,0.00007072595,0.00008551682,0.00003557139],"domain_scores_gemma":[0.9996147,0.0001276704,0.00005277867,0.00003224735,0.0001485692,0.00002399908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009580626,0.0005202204,0.02830482,0.0005058686,0.0002086406,0.001363602,0.0002729115,0.2961034,0.03839168,0.002866631,0.01218336,0.6183208],"study_design_scores_gemma":[0.0000132884,0.00009810297,0.003906111,0.00003093905,0.00002625648,0.0002296661,0.00004730599,0.986158,0.006823819,0.0009298044,0.001719343,0.00001734236],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2812944,0.001458223,0.6799083,0.001303603,0.0006537029,0.000352503,0.00189585,0.007581959,0.02555153],"genre_scores_gemma":[0.9095163,0.0004092645,0.08275747,0.0002558871,0.00007825802,0.000134862,0.0006662763,0.00003446483,0.006147102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002641404,"threshold_uncertainty_score":0.007914782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034475579827082,"score_gpt":0.4089893371392669,"score_spread":0.3055417791565587,"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."}}