Polymerase chain reaction–based detection of fungal pathogens from corneal scrapings in patients with keratitis

This dataset contains de-identified data related to fungal infections in individuals, including demographic information, fungal species detected, and treatment outcomes. The data were collected from individuals of varying ages and occupations who were diagnosed with different types of fungal infections. The dataset includes information about the fungal species present, characteristics of the fungi, treatment regimens, and the medical outcomes (positive or negative). The dataset also provides a record of events leading to the infection (e.g., spontaneous or trauma-related).Columns in the dataset include:Age: Age of the individual.Duration: Duration of illness or infection.Gender: Gender of the individual (Male/Female).Institution: Name of the institution from which the individual came (e.g., Islamia).Disease Type: Type of fungal infection.Fungal Characteristics: Description of fungal features (e.g., "Branched septate hyphae").Fungal Species: Specific fungus detected, such as Aspergillus flavus or Fusarium spp..Outcome: Indicating whether the infection was confirmed or not (positive/negative).Occupation: Occupation of the individual.Medical Conditions: Type of event leading to the fungal infection, including "Spontaneous" or trauma-related causes.Data Type:The dataset includes both categorical and numerical variables, such as age, gender, and infection details.Data Structure:The data is provided in an Excel format with [insert number of rows/columns if helpful].Ethical Considerations:This dataset has been de-identified to ensure privacy and complies with ethical guidelines for data sharing.