5 datasets found

  1. Data from: co-morbidities (malnutrition, diabetes, anaemia, HIV,...

    • figshare.com
    xlsx
    Updated Jun 1, 2023
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    Sharon E. Cox; Laura V. White; Benjamin Faguer; Tansy Edwards; Nathaniel Lee; Juan Solon; Koya Ariyoshi; Mary Christine Castro; Naomi R. Saludar; Nobuo Saito; Rugaiya W Calapis (2023). co-morbidities (malnutrition, diabetes, anaemia, HIV, hypertension) and quality of life in persons with tuberculosis in the Philippines [Dataset]. http://doi.org/10.6084/m9.figshare.11695467.v1
    Explore at:
    xlsxAvailable download formats
    Unique identifier
    https://doi.org/10.6084/m9.figshare.11695467.v1
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Sharon E. Cox; Laura V. White; Benjamin Faguer; Tansy Edwards; Nathaniel Lee; Juan Solon; Koya Ariyoshi; Mary Christine Castro; Naomi R. Saludar; Nobuo Saito; Rugaiya W Calapis
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Philippines
    Description

    Full dataset available with associated meta-data for a cross-sectional study in consenting adult Filipino persons registered for tuberculosis treatment at national TB treatment clinics under the TB-DOTS programme. The study protocol is available at: Malnutrition and diabetes in tuberculosis treatment programs in the Philippines ISRCTN12506117Publications using this dataset are listed

  2. g

    HEALTH INDEX

    • global-relocate.com
    Updated Jul 12, 2024
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    Global Relocate (2024). HEALTH INDEX [Dataset]. https://global-relocate.com/rankings/health-index
    Explore at:
    Dataset updated
    Jul 12, 2024
    Dataset provided by
    Global Relocate
    Description

    The healthcare ranking reflects the quality of health care and access to health services in different countries. The assessment includes various factors such as life expectancy, access to medical services, healthcare funding, and technologies.

  3. F

    Filipino General Domain Scripted Monologue Speech Data

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
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    FutureBee AI (2022). Filipino General Domain Scripted Monologue Speech Data [Dataset]. https://www.futurebeeai.com/dataset/monologue-speech-dataset/general-scripted-speech-monologues-filipino-philippines
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Area covered
    Philippines
    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    The Filipino Scripted Monologue Speech Dataset for the General Domain is a carefully curated resource designed to support the development of Filipino language speech recognition systems. This dataset focuses on general-purpose conversational topics and is ideal for a wide range of AI applications requiring natural, domain-agnostic Filipino speech data.

    Speech Data

    This dataset features over 6,000 high-quality scripted monologue recordings in Filipino. The prompts span diverse real-life topics commonly encountered in general conversations and are intended to help train robust and accurate speech-enabled technologies.

    •Participant Diversity
    •
    Speakers: 60 native Filipino speakers
    •
    Regions: Broad regional coverage ensures diverse accents and dialects
    •
    Demographics: Participants aged 18 to 70, with a 60:40 male-to-female ratio
    •Recording Specifications
    •
    Recording Type: Scripted monologues and prompt-based recordings
    •
    Audio Duration: 5 to 30 seconds per file
    •
    Format: WAV, mono channel, 16-bit, 8 kHz & 16 kHz sample rates
    •
    Environment: Clean, noise-free conditions to ensure clarity and usability

    Topic Coverage

    The dataset covers a wide variety of general conversation scenarios, including:

    •Daily Conversations
    •Topic-Specific Discussions
    •General Knowledge and Advice
    •Idioms and Sayings

    Contextual Features

    To enhance authenticity, the prompts include:

    •
    Names: Male and female names specific to different Philippines regions
    •
    Addresses: Commonly used address formats in daily Filipino speech
    •
    Dates & Times: References used in general scheduling and time expressions
    •
    Organization Names: Names of businesses, institutions, and other entities
    •
    Numbers & Currencies: Mentions of quantities, prices, and monetary values

    Each prompt is designed to reflect everyday use cases, making it suitable for developing generalized NLP and ASR solutions.

    Transcription

    Every audio file in the dataset is accompanied by a verbatim text transcription, ensuring accurate training and evaluation of speech models.

    •
    Content: Exact match to the spoken audio
    •
    Format: Plain text (.TXT), named identically to the corresponding audio file
    •
    Quality Control: All transcripts are validated by native Filipino transcribers

    Metadata

    Rich metadata is included for detailed filtering and analysis:

    •
    Speaker Metadata: Unique speaker ID, age, gender, region, and dialect
    •
    Audio Metadata: Prompt transcript, recording setup, device specs, sample rate, bit depth, and format

    Applications & Use Cases

    This dataset can power a variety of Filipino language AI technologies, including:

    •
    Speech Recognition Training: ASR model development and fine-tuning

  4. f

    Effect of varying sensitivity and specificity of the nLRDT for Scenario 1...

    • figshare.com
    xls
    Updated Oct 28, 2025
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    Aren Sargood; Abigail Ortal-Cruz; Rusheng Chew; Chris Painter (2025). Effect of varying sensitivity and specificity of the nLRDT for Scenario 1 and Scenario 2. [Dataset]. http://doi.org/10.1371/journal.pgph.0005364.t002
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pgph.0005364.t002
    Dataset updated
    Oct 28, 2025
    Dataset provided by
    PLOS Global Public Health
    Authors
    Aren Sargood; Abigail Ortal-Cruz; Rusheng Chew; Chris Painter
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Effect of varying sensitivity and specificity of the nLRDT for Scenario 1 and Scenario 2.

  5. f

    The assumed schedule of tests that a patient entering the decision tree can...

    • figshare.com
    xls
    Updated Oct 28, 2025
    Share
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    Click to copy link
    Link copied
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    Aren Sargood; Abigail Ortal-Cruz; Rusheng Chew; Chris Painter (2025). The assumed schedule of tests that a patient entering the decision tree can experience. [Dataset]. http://doi.org/10.1371/journal.pgph.0005364.t001
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pgph.0005364.t001
    Dataset updated
    Oct 28, 2025
    Dataset provided by
    PLOS Global Public Health
    Authors
    Aren Sargood; Abigail Ortal-Cruz; Rusheng Chew; Chris Painter
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The assumed schedule of tests that a patient entering the decision tree can experience.

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Click to copy link
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Sharon E. Cox; Laura V. White; Benjamin Faguer; Tansy Edwards; Nathaniel Lee; Juan Solon; Koya Ariyoshi; Mary Christine Castro; Naomi R. Saludar; Nobuo Saito; Rugaiya W Calapis (2023). co-morbidities (malnutrition, diabetes, anaemia, HIV, hypertension) and quality of life in persons with tuberculosis in the Philippines [Dataset]. http://doi.org/10.6084/m9.figshare.11695467.v1
Organization logo

Data from: co-morbidities (malnutrition, diabetes, anaemia, HIV, hypertension) and quality of life in persons with tuberculosis in the Philippines

Related Article
Explore at:
xlsxAvailable download formats
Unique identifier
https://doi.org/10.6084/m9.figshare.11695467.v1
Dataset updated
Jun 1, 2023
Dataset provided by
Figsharehttp://figshare.com/
Authors
Sharon E. Cox; Laura V. White; Benjamin Faguer; Tansy Edwards; Nathaniel Lee; Juan Solon; Koya Ariyoshi; Mary Christine Castro; Naomi R. Saludar; Nobuo Saito; Rugaiya W Calapis
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Philippines
Description

Full dataset available with associated meta-data for a cross-sectional study in consenting adult Filipino persons registered for tuberculosis treatment at national TB treatment clinics under the TB-DOTS programme. The study protocol is available at: Malnutrition and diabetes in tuberculosis treatment programs in the Philippines ISRCTN12506117Publications using this dataset are listed

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