A recommendation system can assist the user to compose an understanding of
requirements and propose informed decisions from a lot of complicated knowledge …

Drug Recommender Systems (DRSs) which are information systems that recommend drug
(s) to users based on their symptoms and other factors, have been gaining a lot of research …

A large percentage of the worldwide population is affected by chronic diseases, leading to a
burden of the patient and the national healthcare systems. Recommendation systems are …

Crowdsourcing has been one of focuses in academic and industrial communities along with
rapid development and wide-spread applications of Internet. However, the lack of a new …

The prediction's primary goal is to lessen the ambiguity surrounding investment decision-
making. Following the random walk, the stock market suggests that the best forecast for …

With the increasing number of drugs available in the market and the complexity of diseases,
the task of prescribing suitable drugs for patients has become more challenging …

A suggestion framework can help the client to make an arrangement out of necessities and
propose educated choices from a great deal regarding confounded information. Suggestion …

Recommendation systems are most widely used in many applications to get accurate
recommendations from the user's point of view. Sentiment analysis is one of the domains …

Mineração de Opinião baseada em Aspectos pode ser aplicada para extrair informações
relevantes expressas por pacientes em comentários textuais sobre medicamentos (por …

Com a emergência do crowdsourcing junto a difusão mundial de smartphones esforços
recentes e pesquisas importantes sobre o uso de crowdsourcing na área da saúde ou ainda …