PhilHumans: Benchmarking Machine Learning for Personal Health

Vadim Liventsev; Vivek Kumar; Allmin Pradhap Singh Susaiyah; Zixiu Wu; Ivan Rodin; Asfand Yaar; Simone Balloccu; Marharyta Beraziuk; Sebastiano Battiato; Giovanni Maria Farinella; Aki Härmä; Rim Helaoui; Milan Petkovic; Diego Reforgiato Recupero; Ehud Reiter; Daniele Riboni; Raymond Sterling

doi:10.48550/arXiv.2405.02770

PhilHumans: Benchmarking Machine Learning for Personal Health

Vadim Liventsev, Vivek Kumar, Allmin Pradhap Singh Susaiyah, Zixiu Wu, Ivan Rodin, Asfand Yaar, Simone Balloccu, Marharyta Beraziuk, Sebastiano Battiato, Giovanni Maria Farinella, Aki Härmä, Rim Helaoui, Milan Petkovic, Diego Reforgiato Recupero, Ehud Reiter, Daniele Riboni, Raymond Sterling

Research output: Working paper / Preprint › Preprint

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Abstract

The use of machine learning in Healthcare has the potential to improve patient outcomes as well as broaden the reach and affordability of Healthcare. The history of other application areas indicates that strong benchmarks are essential for the development of intelligent systems. We present Personal Health Interfaces Leveraging HUman-MAchine Natural interactions (PhilHumans), a holistic suite of benchmarks for machine learning across different Healthcare settings - talk therapy, diet coaching, emergency care, intensive care, obstetric sonography - as well as different learning settings, such as action anticipation, timeseries modeling, insight mining, language modeling, computer vision, reinforcement learning and program synthesis

Original language	English
Publisher	Cornell University - arXiv
DOIs	https://doi.org/10.48550/arXiv.2405.02770
Publication status	Published - 4 May 2024

Publication series

Series	arXiv.org
Number	2405.02770
ISSN	2331-8422

Keywords

cs.LG

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10.48550/arXiv.2405.02770

2405.02770v2

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Liventsev, V., Kumar, V., Susaiyah, A. P. S., Wu, Z., Rodin, I., Yaar, A., Balloccu, S., Beraziuk, M., Battiato, S., Farinella, G. M., Härmä, A., Helaoui, R., Petkovic, M., Recupero, D. R., Reiter, E., Riboni, D., & Sterling, R. (2024). PhilHumans: Benchmarking Machine Learning for Personal Health. (2405.02770 ed.) Cornell University - arXiv. arXiv.org No. 2405.02770 https://doi.org/10.48550/arXiv.2405.02770

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abstract = "The use of machine learning in Healthcare has the potential to improve patient outcomes as well as broaden the reach and affordability of Healthcare. The history of other application areas indicates that strong benchmarks are essential for the development of intelligent systems. We present Personal Health Interfaces Leveraging HUman-MAchine Natural interactions (PhilHumans), a holistic suite of benchmarks for machine learning across different Healthcare settings - talk therapy, diet coaching, emergency care, intensive care, obstetric sonography - as well as different learning settings, such as action anticipation, timeseries modeling, insight mining, language modeling, computer vision, reinforcement learning and program synthesis",

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author = "Vadim Liventsev and Vivek Kumar and Susaiyah, {Allmin Pradhap Singh} and Zixiu Wu and Ivan Rodin and Asfand Yaar and Simone Balloccu and Marharyta Beraziuk and Sebastiano Battiato and Farinella, {Giovanni Maria} and Aki H{\"a}rm{\"a} and Rim Helaoui and Milan Petkovic and Recupero, {Diego Reforgiato} and Ehud Reiter and Daniele Riboni and Raymond Sterling",

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month = may,

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Liventsev, V, Kumar, V, Susaiyah, APS, Wu, Z, Rodin, I, Yaar, A, Balloccu, S, Beraziuk, M, Battiato, S, Farinella, GM, Härmä, A, Helaoui, R, Petkovic, M, Recupero, DR, Reiter, E, Riboni, D & Sterling, R 2024 'PhilHumans: Benchmarking Machine Learning for Personal Health' arXiv.org, no. 2405.02770 , 2405.02770 edn, Cornell University - arXiv. https://doi.org/10.48550/arXiv.2405.02770

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AU - Beraziuk, Marharyta

AU - Battiato, Sebastiano

AU - Farinella, Giovanni Maria

AU - Härmä, Aki

AU - Helaoui, Rim

AU - Petkovic, Milan

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AU - Riboni, Daniele

AU - Sterling, Raymond

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PhilHumans: Benchmarking Machine Learning for Personal Health

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