wearables_query.py

evidence = {'age': 'adult', 'bmi': 'bmi_over_40_high_risk', 'gender': 'female', 'height': 'no_height_above_173.40', 'weight': 'weight_above_92.60', 'systolic': 'systolic_130_to_139_high_stage_1', 'diastolic': 'diastolic_80_to_89_high_stage_1', 'resting_heart_rate': 'no_resting_heart_rate_very_high_91_and_above'}

outvars = ["hallmark_1_genomic_instability","hallmark_2_telomere_attrition","hallmark_3_epigenetic_alterations",
"hallmark_4_loss_of_proteostasis","hallmark_5_deregulated_nutrient_sensing","hallmark_6_mitochondrial_dysfunction",
"hallmark_7_cellular_senescence","hallmark_8_stem_cell_exhaustion","hallmark_9_altered_intercellular_communication",
"hallmark_10_extracellular_matrix_dysfunction","poor_diet","poor_diet_flag","poor_sleep","psychological_disorders",
"obesity","lack_of_exercise","poor_diet_quantity","smoking"]


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