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⌂ /Homeopathic complexes /
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Reneel n

Sources : Kiberis
RU: Heel
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Other names and synonyms

Ren-N.

Performance statistics based

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  • 1
    Respiratory system: E 74%, I 31%, 15 cases. 1007 meds
    • Abdomen: E 75%, I 28%, 5 cases. 1065 meds
    • Nervous system: E 34%, I 13%, 8 cases. 600 meds
    • 1
      Bone system: E 62%, I 10%, 19 cases. 278 meds
      • 3
        Back: E 61%, I 9%, 18 cases. 874 meds
        • 3
          Head: E 49%, I 7%, 19 cases. 1231 meds
          • 1
            Anamnesis: E 31%, I 7%, 9 cases. 698 meds
            • 3
              Limbs: E 43%, I 4%, 24 cases. 928 meds
              • 4
                Diseases: E 59%, I 4%, 24 cases. 1881 meds
                • 6
                  Psyche: E 31%, I 2%, 24 cases. 1271 meds
                  • Chest: E 66%, I 0%, 7 cases. 1020 meds
                  • 2
                    Skin: E 20%, I -6%, 16 cases. 1256 meds
                    • 3
                      Digestive system: E 51%, I -13%, 24 cases. 1273 meds
                      • 5
                        Genitourinary system: E 55%, I -19%, 29 cases. 684 meds
                        • 3
                          Cardiovascular system: E 29%, I -20%, 18 cases. 1118 meds

                          Last updated date: 14.07.2026

                          Performance statistics based «Reneel n» in percentages for various lesions, grouped by meaning in the form of a repertory. Together with individual modalities that affect the outcome of therapy.
                          Effect - how much the symptom improves in one treatment cycle on average. Example: drug Pain relief for cancer pain-Effectiveness (E) is high, but the effect (I) negative, because the patient will get worse over time.
                          Influence of the symptom on the outcome of the patient's treatment as a whole (i.e., the importance of the symptom). Example: menopause can not be cured (E low). But some means during menopause will be better than others (I high).
                          Cases - the number of investigated treatment results for a given complaint, on the basis of which the effect and effect were calculated. These cases have already passed automatic AI verification of data quality and reliability.
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                          Content moderator: Vasin A. S.


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