<jupyter_start><jupyter_text>2.3. Hyphotesis Final List **1.** Female patients are more persistent of a drug than male.**2.** Patients from Northeast are more persistent of a drug than patients from South.**3.** Patients over 65 years of age are more persistent of a drug than patients 65 years of age or younger.**4.** Caucasian patients, not hispanic are more persistent of a drug than patients with different race and ethinicity.**5.** Patients mapped to IDN are more persistent of a drug than patient not mapped. **6.** Patients that received the drug prescription from General Practtitioner Specialty are less persistent of a drug than patients that received the drug prescription from others Specialty. **7.** Patients that used Glucocorticoid and had a Fragility Fracture, before and during the therapy, are more persistent of a drug than patients that not used Glucocorticoid neither had a Fragility Fracture, in any situation.**8.** Patients that had Dexa Scan more than 20 times are more persistent of a drug than patients that had Dexa Scan less than 20 times, and patients that dit not have Dexa Scan are more persistent of a drug than patients that had Dexa Scan.**9.** Patients that presents HR_VHR as Risk Segment during the therapy and presents an improve in Risk Segment after the therapy are more persistent of a drug than patients that presents other types of Risk Segment and Change in Risk Segment.**10.** Patients that presents T Socre of >-2.5 before the therapy and presents  worsen T Score status after the therapy are less persistent of a drug than patients that presents other types of T Score and T Score status. **11.** Patients that presents the amount of risk factor higher than 4 are more persistent of a drug than patients that presents the amount of risk factor higher than 4.**12.** Patients adherent for therapies and that did not use drugs berofe the therapy more persistent of a drug than patients that are not adherent for therapies and that used drugs berofe the therapy.**13.** Patients that used more than 6 concomitancy drugs before the therapy are less persistent of a drug than patients that  used more than 6 concomitancy drugsbefore the therapy.**14.** Patients that presents more than 8 diffetrent types of comorbidity are more persistent of a drug than patients that  presents less than 8 diffetrent types of comorbidity.<jupyter_code>Ptid                                                                  object
Persistency_Flag                                                      object
Gender                                                                object
Race                                                                  object
Ethnicity                                                             object
Region                                                                object
Age_Bucket                                                            object
Ntm_Speciality                                                        object
Ntm_Specialist_Flag                                                   object
Ntm_Speciality_Bucket                                                 object
Gluco_Record_Prior_Ntm                                                object
Gluco_Record_During_Rx                                                object
Dexa_Freq_During_Rx                                                    int64
Dexa_During_Rx                                                        object
Frag_Frac_Prior_Ntm                                                   object
Frag_Frac_During_Rx                                                   object
Risk_Segment_Prior_Ntm                                                object
Tscore_Bucket_Prior_Ntm                                               object
Risk_Segment_During_Rx                                                object
Tscore_Bucket_During_Rx                                               object
Change_T_Score                                                        object
Change_Risk_Segment                                                   object
Adherent_Flag                                                         object
Idn_Indicator                                                         object
Injectable_Experience_During_Rx                                       object
Comorb_Encounter_For_Screening_For_Malignant_Neoplasms                object
Comorb_Encounter_For_Immunization                                     object
Comorb_Encntr_For_General_Exam_W_O_Complaint,_Susp_Or_Reprtd_Dx       object
Comorb_Vitamin_D_Deficiency                                           object
Comorb_Other_Joint_Disorder_Not_Elsewhere_Classified                  object
Comorb_Encntr_For_Oth_Sp_Exam_W_O_Complaint_Suspected_Or_Reprtd_Dx    object
Comorb_Long_Term_Current_Drug_Therapy                                 object
Comorb_Dorsalgia                                                      object
Comorb_Personal_History_Of_Other_Diseases_And_Conditions              object
Comorb_Other_Disorders_Of_Bone_Density_And_Structure                  object
Comorb_Disorders_of_lipoprotein_metabolism_and_other_lipidemias       object
Comorb_Osteoporosis_without_current_pathological_fracture             object
Comorb_Personal_history_of_malignant_neoplasm                         object
Comorb_Gastro_esophageal_reflux_disease                               object
Concom_Cholesterol_And_Triglyceride_Regulating_Preparations           object
Concom_Narcotics                                                      object
Concom_Systemic_Corticosteroids_Plain                                 object
Concom_Anti_Depressants_And_Mood_Stabilisers                          object
Concom_Fluoroquinolones                                               object
Concom_Cephalosporins                                                 object
Concom_Macrolides_And_Similar_Types                                   object
Concom_Broad_Spectrum_Penicillins                                     object
Concom_Anaesthetics_General                                           object
Concom_Viral_Vaccines                                                 object
Risk_Type_1_Insulin_Dependent_Diabetes                                object
Risk_Osteogenesis_Imperfecta                                          object
Risk_Rheumatoid_Arthritis                                             object
Risk_Untreated_Chronic_Hyperthyroidism                                object
Risk_Untreated_Chronic_Hypogonadism                                   object
Risk_Untreated_Early_Menopause                                        object
Risk_Patient_Parent_Fractured_Their_Hip                               object
Risk_Smoking_Tobacco                                                  object
Risk_Chronic_Malnutrition_Or_Malabsorption                            object
Risk_Chronic_Liver_Disease                                            object
Risk_Family_History_Of_Osteoporosis                                   object
Risk_Low_Calcium_Intake                                               object
Risk_Vitamin_D_Insufficiency                                          object
Risk_Poor_Health_Frailty                                              object
Risk_Excessive_Thinness                                               object
Risk_Hysterectomy_Oophorectomy                                        object
Risk_Estrogen_Deficiency                                              object
Risk_Immobilization                                                   object
Risk_Recurring_Falls                                                  object
Count_Of_Risks                                                         int64
Count_Of_Concomitancy     int64
Count_Of_Comorbidity      int64<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.013478818998716302, 'fraction_numerical': 0.005905006418485238, 'mean_word_length': 1.2989082325169667, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 6, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 96, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '489779', 'license': 'MIT', 'n_tokens_mistral': 1618, 'n_tokens_neox': 1435, 'n_words': 523, 'path': 'final_project/Untitled.ipynb', 'repo_name': 'IgorQueiroz32/Data_Glacier', 'size': '7790'}