Integrating AI and ML for Enhanced Homeopathic Management of Canine Epilepsy

Abstract

Canine epilepsy, a prevalent neurological disorder, poses significant challenges in veterinary medicine. Traditional treatment approaches often yield variable outcomes, necessitating exploration of alternative therapies. This study investigates the efficacy of homeopathic remedies in managing canine epilepsy and explores the potential of Artificial Intelligence (AI) and Machine Learning (ML) to enhance treatment protocols. We analyzed data from 32 epileptic dogs, documenting various parameters including age, breed, sex, weight, seizure frequency and duration pre- and post-treatment, homeopathic remedies used, potency, treatment duration, and owner observations. Remedies included Agaricus mus, Belladonna, Cicuta virosa, Cina, Hyoscyamus, Cuprum met and Natrum mur, administered in potencies of 30C, 200C, 1M and 0/1 LM over treatment durations ranging from 2 to 24 months. Descriptive statistics and visualizations revealed significant findings. Bulldogs and male dogs exhibited the highest improvement levels, particularly with Agaricus mus and Natrum mur remedies. Notably, remedies administered at LM potencies (0/1 LM) and longer durations (21 months) demonstrated superior efficacy. Improvement levels during treatment showed moderate correlations with treatment duration, indicating prolonged administration enhances therapeutic outcomes. We trained 3 different ML algorithms logistic regression, random forest and xgboost. The Random Forest model emerged as the most accurate, with an accuracy of 86%. Feature importance analysis revealed that pre-treatment seizure frequency, homeopathic remedy used, and treatment duration were critical predictors of treatment success In conclusion, Integrating AI and ML can revolutionize this aspect by analyzing large datasets to predict optimal treatment protocols based on individual patient characteristics. Machine learning algorithms can identify patterns and correlations that may not be immediately apparent, offering insights into the most effective remedies, potencies, and durations for specific breeds and demographics. This approach promises to enhance the quality of life for affected dogs and provide veterinarians with robust tools for decision-making.

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