Review and Analysis of Massively Registered Clinical Trials of COVID-19 using the Text Mining Approach.

Patel, Swayamprakash; Patel, Ashish; Patel, Mruduka; Shah, Umang; Patel, Mehul; Solanki, Nilay; Patel, Suchita

Patel, Swayamprakash; Patel, Ashish; Patel, Mruduka; Shah, Umang; Patel, Mehul; Solanki, Nilay; Patel, Suchita.

Afiliação

Patel S; Ramanbhai Patel College of Pharmacy, Charotar University of Science and Technology, Vadodara, India.
Patel A; Ramanbhai Patel College of Pharmacy, Charotar University of Science and Technology, Vadodara, India.
Patel M; Meteroic Biopharmaceuticals, Ahmedabad, India.
Shah U; Ramanbhai Patel College of Pharmacy, Charotar University of Science and Technology, Vadodara, India.
Patel M; Ramanbhai Patel College of Pharmacy, Charotar University of Science and Technology, Vadodara, India.
Solanki N; Ramanbhai Patel College of Pharmacy, Charotar University of Science and Technology, Vadodara, India.
Patel S; Institute of Science & Technology for Advanced Studies & Research (ISTAR), Sardar Patel University, Anand, India.

Rev Recent Clin Trials ; 16(3): 242-257, 2021.

Article em En | MEDLINE | ID: mdl-33267765

Assuntos

COVID-19; Ensaios Clínicos como Assunto; Mineração de Dados; Inteligência Artificial; Análise por Conglomerados; Humanos

Palavras-chave

COVID19; Text-Mining; clinical trial; coronavirus; diagnosis; natural language processing; treatment.

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ensaios Clínicos como Assunto / Mineração de Dados / COVID-19 Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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