Remedy Selection based on Artificial Intelligent Methods

Sadidpour, Saeedeh Sadat; Ghidary, Saeed Shiry

doi:10.5120/2392-2919

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…Artificial intelligence systems such as "machine learning" (ML) can play an important role in addressing these challenges. [37][38][39][40][41] Future studies in ML can provide datadriven clinical decision-making for improving treatment outcomes, consistency in prescribing, identification of a set of medicines useful in COVID-19, and identification of repurposed existing drugs. When large datasets become available, ML algorithms will be used and reported in a future publication from our research group.…”

Section: Discussionmentioning

confidence: 99%

Clinical Characteristics and Remedy Profiles of Patients with COVID-19: A Retrospective Cohort Study

Jethani¹,

Gupta

Wadhwani³

et al. 2021

Homeopathy

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Objective The aim of the study was to identify indicated homeopathic remedies based on the clinical characteristics of coronavirus disease 2019 (COVID-19) patients in India. Methods In this retrospective, cohort study, confirmed COVID-19 patients admitted at a COVID Health Centre in New Delhi between April 29 and June 17, 2020 were given conventional and homeopathic treatment. Patients were grouped into mild, moderate or severe categories of disease. Their symptomatologic profiles were analyzed to identify indicated homeopathic medicines. Results A total of 196 COVID-19 patients were admitted. One hundred and seventy-eight patients had mild symptoms; eighteen patients had moderate symptoms; no patients with severe symptoms were included as they were referred to tertiary care centers with ventilatory support. The mean age of patients with mild symptoms was significantly lower (38.6 years; standard deviation or SD ± 15.8) compared with patients in the moderate category (66.0 years; SD ± 9.09). The most important symptoms identified were fever (43.4%), cough (47.4%), sore throat (29.6%), headache (18.4%), myalgia (17.9%), fatigue (16.8%), chest discomfort (13.8%), chills (12.6%), shortness of breath (11.2%) and loss of taste (10.2%). Twenty-eight homeopathic medicines were prescribed, the most frequently indicated being Bryonia alba (33.3%), Arsenicum album (18.1%), Pulsatilla nigricans (13.8%), Nux vomica (8%), Rhus toxicodendron (7.2%) and Gelsemium sempervirens (5.8%), in 30C potency. Conclusion Data from the current study reveal that Arsenicum album, Bryonia alba, Pulsatilla nigricans, Nux vomica, Rhus toxicodendron and Gelsemium sempervirens are the most frequently indicated homeopathic medicines. A randomized controlled clinical trial based on this finding is the next step.

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Section: Discussionmentioning

confidence: 99%

Clinical Characteristics and Remedy Profiles of Patients with COVID-19: A Retrospective Cohort Study

Jethani¹,

Gupta

Wadhwani³

et al. 2021

Homeopathy

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“…75 The application of fuzzy expert system and decision tree for selection of remedy in homoeopathy is among the rare application. 76 The other areas of applications of fuzzy logic are: prediction of aneurysm, fracture healing 77,78 and in nonstationary FES, intuitionistic fuzzy sets. 79,80 The Fuzzy Expert System has proved its usefulness significantly in the medical diagnosis for the quantitative analysis and qualitative evaluation of medical data, consequently achieving the correctness of results.…”

Section: -33mentioning

confidence: 99%

Fuzzy Expert Systems (FES) for Medical Diagnosis

Sikchi¹,

Sikchi²,

Ali³

2013

IJCA

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Fuzzy logic has proved to be the remarkable tool for building intelligent decision making systems based on the expert's knowledge and observations. This paper reviews the trend in development of FES and application potential over past two and half decades in the medical field, based on the references of 173 articles from 124 journals, several proceedings and web media. In order to investigate the significance of FES for medical diagnosis, the articles are classified into five distinct categories: Reviews and Surveys on Fuzzy Expert Systems in Medical Diagnosis, Applications of Fuzzy Expert Systems in Medical Diagnosis, Methodologies and Modelling of Fuzzy Expert Systems, Neuro-Fuzzy Approaches, Fuzzy Expert System Shells and Frameworks. The development of disease specific applications using FES is observed to be the area of most significant interest of the researchers. The earlier contributions are reviewed, classified, analyzed and suggested the future scope.

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Remedy Selection based on Artificial Intelligent Methods

Cited by 2 publications

References 8 publications

Clinical Characteristics and Remedy Profiles of Patients with COVID-19: A Retrospective Cohort Study

Clinical Characteristics and Remedy Profiles of Patients with COVID-19: A Retrospective Cohort Study

Fuzzy Expert Systems (FES) for Medical Diagnosis

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