6 results on '"Kadhim, Q"'
Search Results
2. Assessing serum C-reactive protein as a predictor of COVID-19 outcomes: a retrospective cross-sectional study
- Author
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Abdullah, Ardalan J., primary, Arif, Ali T., additional, Rahman, Hawre A., additional, Sofihussein, Kadhim Q., additional, Hadi, Jihad M., additional, Aziz, Jeza M. Abdul, additional, Tofiq, Shko Sh., additional, and Mustafa, Ayman M., additional
- Published
- 2023
- Full Text
- View/download PDF
3. The PROVENT-C19 registry: A study protocol for international multicenter SIAARTI registry on the use of prone positioning in mechanically ventilated patients with COVID-19 ARDS
- Author
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De Rosa, S, Sella, N, Rezoagli, E, Lorenzoni, G, Gregori, D, Bellani, G, Foti, G, Pettenuzzo, T, Baratto, F, Fullin, G, Papaccio, F, Peta, M, Poole, D, Toffoletto, F, Maggiore, S, Navales, P, Navalesi, P, Tiberio, I, Pasin, L, Godi, I, Serra, E, Zarantonello, F, Andreatta, G, Boscolo, A, Persona, P, Cattin, L, Forin, E, Boni, E, Golino, G, Danzi, V, Vetrugno, L, Cornacchia, N, Donadello, K, Gottin, L, Polati, E, Campagnolo, M, Linassi, F, Panciera, G, Garofalo, E, Bruni, A, Carlon, R, Pipitone, M, Candosin, A, Badii, F, Role, S, Girardis, M, Busani, S, Gamberini, E, Tartivita, C, Gamberini, L, Cortegiani, A, Frisella, S, Ippolito, M, Salvo, F, Greco, M, Cecconi, M, Aceto, R, Langer, T, Repishti, M, Zeduri, A, Ottolina, D, Fossali, T, Colombo, R, Predonzani, N, Ferluga, M, Blasi, S, Zardin, M, Vergine, S, Luccarelli, G, Tritapepe, L, Francesconi, A, Pagani, M, Mojoli, F, Orlando, A, Mongodi, S, Bitondo, M, Johnathan, M, Maugeri, J, Bellissima, A, Guzzardella, A, Vallecoccia, M, Spadaro, S, Cricca, V, Andriolo, E, Bianchin, A, Alampi, D, Rocco, M, Anchisi, S, Tenaglia, T, Nicoletti, R, Antonini, B, Zanaty, M, Mogahed, M, Ali, A, Emara, M, Abdullah, E, Awad, A, Abdel-Maboud, M, Hussein, A, Mosleh, A, Ahmed, M, Aziz, M, Elsayed, A, Aldhalia, A, Elkhatid, A, Abodina, A, Khalleefah, A, Shalabi, L, Shamed, H, Bakeer, H, Hawad, A, Abuzaid, T, Alqandouz, R, Saliga, A, Haddud, A, Kredan, A, Shaban, M, Salama, A, Altabit, A, Alflite, A, Hashim, H, Kadhim, Q, Abd-Alreda, A, Al-Juifari, M, Al-Gburi, S, Akram, A, Laila, A, Bakri, A, Abdelmageed, A, Binnawara, M, Mohamed, M, Esaadi, H, Othman, E, Said, A, Alarabi, R, Alameen, H, Albouishi, N, Babaa, K, Salih, R, Elbakheet, D, Abuelyamen, A, Perez-Torres, D, Mattson, J, Al-Sadawi, M, Elseidy, S, De Rosa S., Sella N., Rezoagli E., Lorenzoni G., Gregori D., Bellani G., Foti G., Pettenuzzo T., Baratto F., Fullin G., Papaccio F., Peta M., Poole D., Toffoletto F., Maggiore S. M., Navales P., Navalesi P., Tiberio I., Pasin L., Godi I., Serra E., Zarantonello F., Andreatta G., Boscolo A., Persona P., Cattin L., Forin E., Boni E., Golino G., Danzi V., Vetrugno L., Cornacchia N., Donadello K., Gottin L., Polati E., Campagnolo M., Linassi F., Panciera G., Garofalo E., Bruni A., Carlon R., Pipitone M., Candosin A., Badii F., Role S. D., Girardis M., Busani S., Gamberini E., Tartivita C. N., Gamberini L., Cortegiani A., Frisella S., Ippolito M., Salvo F., Greco M., Cecconi M., Aceto R., Langer T., Repishti M., Zeduri A., Ottolina D., Fossali T., Colombo R., Predonzani N., Ferluga M., Blasi S. D., Zardin M., Vergine S., Luccarelli G., Tritapepe L., Francesconi A. G., Pagani M., Mojoli F., Orlando A., Mongodi S., Bitondo M., Johnathan M., Maugeri J., Bellissima A., Guzzardella A., Vallecoccia M. S., Spadaro S., Cricca V., Andriolo E., Bianchin A., Alampi D., Rocco M., Anchisi S., Tenaglia T., Nicoletti R., Antonini B., Zanaty M., Mogahed M., Ali A., Emara M., Abdullah E., Awad A. K., Abdel-Maboud M., Hussein A. M., Hussein A. A. R. M., Mosleh A. A., Ahmed M. G., Aziz M. G., Elsayed A., Aldhalia A., Elkhatid A., Abodina A. M., Khalleefah A., Shalabi L. E., Shamed H., Bakeer H. B., Hawad A., Abuzaid T., Alqandouz R. A. S., Saliga A. A., Haddud A., Kredan A. A., Shaban M. S., Salama A. A., Altabit A. E. R. M., Alflite A. O. S., Hashim H. T., Kadhim Q. M., Abd-Alreda A. H., Al-Juifari M. A., Al-Gburi S. M., Akram A., Laila A., Bakri A., Abdelmageed A., Binnawara M., Mohamed M., Esaadi H., Othman E., Said A., Alarabi R., Alameen H., Albouishi N., Babaa K. A., Salih R., Elbakheet D. E., Abuelyamen A., Perez-Torres D., Mattson J., Al-Sadawi M., Elseidy S., De Rosa, S, Sella, N, Rezoagli, E, Lorenzoni, G, Gregori, D, Bellani, G, Foti, G, Pettenuzzo, T, Baratto, F, Fullin, G, Papaccio, F, Peta, M, Poole, D, Toffoletto, F, Maggiore, S, Navales, P, Navalesi, P, Tiberio, I, Pasin, L, Godi, I, Serra, E, Zarantonello, F, Andreatta, G, Boscolo, A, Persona, P, Cattin, L, Forin, E, Boni, E, Golino, G, Danzi, V, Vetrugno, L, Cornacchia, N, Donadello, K, Gottin, L, Polati, E, Campagnolo, M, Linassi, F, Panciera, G, Garofalo, E, Bruni, A, Carlon, R, Pipitone, M, Candosin, A, Badii, F, Role, S, Girardis, M, Busani, S, Gamberini, E, Tartivita, C, Gamberini, L, Cortegiani, A, Frisella, S, Ippolito, M, Salvo, F, Greco, M, Cecconi, M, Aceto, R, Langer, T, Repishti, M, Zeduri, A, Ottolina, D, Fossali, T, Colombo, R, Predonzani, N, Ferluga, M, Blasi, S, Zardin, M, Vergine, S, Luccarelli, G, Tritapepe, L, Francesconi, A, Pagani, M, Mojoli, F, Orlando, A, Mongodi, S, Bitondo, M, Johnathan, M, Maugeri, J, Bellissima, A, Guzzardella, A, Vallecoccia, M, Spadaro, S, Cricca, V, Andriolo, E, Bianchin, A, Alampi, D, Rocco, M, Anchisi, S, Tenaglia, T, Nicoletti, R, Antonini, B, Zanaty, M, Mogahed, M, Ali, A, Emara, M, Abdullah, E, Awad, A, Abdel-Maboud, M, Hussein, A, Mosleh, A, Ahmed, M, Aziz, M, Elsayed, A, Aldhalia, A, Elkhatid, A, Abodina, A, Khalleefah, A, Shalabi, L, Shamed, H, Bakeer, H, Hawad, A, Abuzaid, T, Alqandouz, R, Saliga, A, Haddud, A, Kredan, A, Shaban, M, Salama, A, Altabit, A, Alflite, A, Hashim, H, Kadhim, Q, Abd-Alreda, A, Al-Juifari, M, Al-Gburi, S, Akram, A, Laila, A, Bakri, A, Abdelmageed, A, Binnawara, M, Mohamed, M, Esaadi, H, Othman, E, Said, A, Alarabi, R, Alameen, H, Albouishi, N, Babaa, K, Salih, R, Elbakheet, D, Abuelyamen, A, Perez-Torres, D, Mattson, J, Al-Sadawi, M, Elseidy, S, De Rosa S., Sella N., Rezoagli E., Lorenzoni G., Gregori D., Bellani G., Foti G., Pettenuzzo T., Baratto F., Fullin G., Papaccio F., Peta M., Poole D., Toffoletto F., Maggiore S. M., Navales P., Navalesi P., Tiberio I., Pasin L., Godi I., Serra E., Zarantonello F., Andreatta G., Boscolo A., Persona P., Cattin L., Forin E., Boni E., Golino G., Danzi V., Vetrugno L., Cornacchia N., Donadello K., Gottin L., Polati E., Campagnolo M., Linassi F., Panciera G., Garofalo E., Bruni A., Carlon R., Pipitone M., Candosin A., Badii F., Role S. D., Girardis M., Busani S., Gamberini E., Tartivita C. N., Gamberini L., Cortegiani A., Frisella S., Ippolito M., Salvo F., Greco M., Cecconi M., Aceto R., Langer T., Repishti M., Zeduri A., Ottolina D., Fossali T., Colombo R., Predonzani N., Ferluga M., Blasi S. D., Zardin M., Vergine S., Luccarelli G., Tritapepe L., Francesconi A. G., Pagani M., Mojoli F., Orlando A., Mongodi S., Bitondo M., Johnathan M., Maugeri J., Bellissima A., Guzzardella A., Vallecoccia M. S., Spadaro S., Cricca V., Andriolo E., Bianchin A., Alampi D., Rocco M., Anchisi S., Tenaglia T., Nicoletti R., Antonini B., Zanaty M., Mogahed M., Ali A., Emara M., Abdullah E., Awad A. K., Abdel-Maboud M., Hussein A. M., Hussein A. A. R. M., Mosleh A. A., Ahmed M. G., Aziz M. G., Elsayed A., Aldhalia A., Elkhatid A., Abodina A. M., Khalleefah A., Shalabi L. E., Shamed H., Bakeer H. B., Hawad A., Abuzaid T., Alqandouz R. A. S., Saliga A. A., Haddud A., Kredan A. A., Shaban M. S., Salama A. A., Altabit A. E. R. M., Alflite A. O. S., Hashim H. T., Kadhim Q. M., Abd-Alreda A. H., Al-Juifari M. A., Al-Gburi S. M., Akram A., Laila A., Bakri A., Abdelmageed A., Binnawara M., Mohamed M., Esaadi H., Othman E., Said A., Alarabi R., Alameen H., Albouishi N., Babaa K. A., Salih R., Elbakheet D. E., Abuelyamen A., Perez-Torres D., Mattson J., Al-Sadawi M., and Elseidy S.
- Abstract
Background The worldwide use of prone position (PP) for invasively ventilated patients with COVID-19 is progressively increasing from the first pandemic wave in everyday clinical practice. Among the suggested treatments for the management of ARDS patients, PP was recommended in the Surviving Sepsis Campaign COVID-19 guidelines as an adjuvant therapy for improving ventilation. In patients with severe classical ARDS, some authors reported that early application of prolonged PP sessions significantly decreases 28-day and 90-day mortality. Methods and analysis Since January 2021, the COVID19 Veneto ICU Network research group has developed and implemented nationally and internationally the "PROVENT-C19 Registry", endorsed by the Italian Society of Anesthesia Analgesia Resuscitation and Intensive Care. . .'(SIAARTI). The PROVENT-C19 Registry wishes to describe 1. The real clinical practice on the use of PP in COVID-19 patients during the pandemic at a National and International level; and 2. Potential baseline and clinical characteristics that identify subpopulations of invasively ventilated patients with COVID-19 that may improve daily from PP therapy. This web-based registry will provide relevant information on how the database research tools may improve our daily clinical practice. Conclusions This multicenter, prospective registry is the first to identify and characterize the role of PP on clinical outcome in COVID-19 patients. In recent years, data emerging from large registries have been increasingly used to provide real-world evidence on the effectiveness, quality, and safety of a clinical intervention. Indeed observation-based registries could be effective tools aimed at identifying specific clusters of patients within a large study population with widely heterogeneous clinical characteristics. Copyright
- Published
- 2022
4. The PROVENT-C19 registry: A study protocol for international multicenter SIAARTI registry on the use of prone positioning in mechanically ventilated patients with COVID-19 ARDS
- Author
-
De Rosa, S., Sella, N., Rezoagli, E., Lorenzoni, G., Gregori, D., Bellani, G., Foti, G., Pettenuzzo, T., Baratto, F., Fullin, G., Papaccio, F., Peta, M., Poole, D., Toffoletto, F., Maggiore, S. M., Navales, P., Navalesi, P., Tiberio, I., Pasin, L., Godi, I., Serra, E., Zarantonello, F., Andreatta, G., Boscolo, A., Persona, P., Cattin, L., Forin, E., Boni, E., Golino, G., Danzi, V., Vetrugno, L., Cornacchia, N., Donadello, K., Gottin, L., Polati, E., Campagnolo, M., Linassi, F., Panciera, G., Garofalo, E., Bruni, A., Carlon, R., Pipitone, M., Candosin, A., Badii, F., Role, S. D., Girardis, M., Busani, S., Gamberini, E., Tartivita, C. N., Gamberini, L., Cortegiani, A., Frisella, S., Ippolito, M., Salvo, F., Greco, M., Cecconi, M., Aceto, R., Langer, T., Repishti, M., Zeduri, A., Ottolina, D., Fossali, T., Colombo, R., Predonzani, N., Ferluga, M., Blasi, S. D., Zardin, M., Vergine, S., Luccarelli, G., Tritapepe, L., Francesconi, A. G., Pagani, M., Mojoli, F., Orlando, A., Mongodi, S., Bitondo, M., Johnathan, M., Maugeri, J., Bellissima, A., Guzzardella, A., Vallecoccia, M. S., Spadaro, S., Cricca, V., Andriolo, E., Bianchin, A., Alampi, D., Rocco, M., Anchisi, S., Tenaglia, T., Nicoletti, R., Antonini, B., Zanaty, M., Mogahed, M., Ali, A., Emara, M., Abdullah, E., Awad, A. K., Abdel-Maboud, M., Hussein, A. M., Hussein, A. A. R. M., Mosleh, A. A., Ahmed, M. G., Aziz, M. G., Elsayed, A., Aldhalia, A., Elkhatid, A., Abodina, A. M., Khalleefah, A., Shalabi, L. E., Shamed, H., Bakeer, H. B., Hawad, A., Abuzaid, T., Alqandouz, R. A. S., Saliga, A. A., Haddud, A., Kredan, A. A., Shaban, M. S., Salama, A. A., Altabit, A. E. R. M., Alflite, A. O. S., Hashim, H. T., Kadhim, Q. M., Abd-Alreda, A. H., Al-Juifari, M. A., Al-Gburi, S. M., Akram, A., Laila, A., Bakri, A., Abdelmageed, A., Binnawara, M., Mohamed, M., Esaadi, H., Othman, E., Said, A., Alarabi, R., Alameen, H., Albouishi, N., Babaa, K. A., Salih, R., Elbakheet, D. E., Abuelyamen, A., Perez-Torres, D., Mattson, J., Al-Sadawi, M., Elseidy, S., De Rosa, Silvia, Sella, Nicolò, Rezoagli, Emanuele, Lorenzoni, Giulia, Gregori, Dario, Bellani, Giacomo, Foti, Giuseppe, Pettenuzzo, Tommaso, Baratto, Fabio, Fullin, Giorgio, Papaccio, Francesco, Peta, Mario, Poole, Daniele, Toffoletto, Fabio, Maggiore, Salvatore Maurizio, Navalesi, Paolo, SIAARTI Study group, Cortegiani, Andrea, Frisella, Sara, and Ippolito, Mariachiara
- Subjects
Multidisciplinary ,prone position ,respiratory failure ,COVID-19 - Abstract
Background The worldwide use of prone position (PP) for invasively ventilated patients with COVID-19 is progressively increasing from the first pandemic wave in everyday clinical practice. Among the suggested treatments for the management of ARDS patients, PP was recommended in the Surviving Sepsis Campaign COVID-19 guidelines as an adjuvant therapy for improving ventilation. In patients with severe classical ARDS, some authors reported that early application of prolonged PP sessions significantly decreases 28-day and 90-day mortality. Methods and analysis Since January 2021, the COVID19 Veneto ICU Network research group has developed and implemented nationally and internationally the “PROVENT-C19 Registry”, endorsed by the Italian Society of Anesthesia Analgesia Resuscitation and Intensive Care…’(SIAARTI). The PROVENT-C19 Registry wishes to describe 1. The real clinical practice on the use of PP in COVID-19 patients during the pandemic at a National and International level; and 2. Potential baseline and clinical characteristics that identify subpopulations of invasively ventilated patients with COVID-19 that may improve daily from PP therapy. This web-based registry will provide relevant information on how the database research tools may improve our daily clinical practice. Conclusions This multicenter, prospective registry is the first to identify and characterize the role of PP on clinical outcome in COVID-19 patients. In recent years, data emerging from large registries have been increasingly used to provide real-world evidence on the effectiveness, quality, and safety of a clinical intervention. Indeed observation-based registries could be effective tools aimed at identifying specific clusters of patients within a large study population with widely heterogeneous clinical characteristics. Trial registration The registry was registered (ClinicalTrial.Gov Trials Register NCT04905875) on May 28,2021.
- Published
- 2022
- Full Text
- View/download PDF
5. IOT-MDEDTL: IoT Malware Detection based on Ensemble Deep Transfer Learning.
- Author
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Kadhim, Q. Kh., Al-Sudani, A. Q. A. Sharhan, Almani, I. Amjed, Alghazali, T., Dabis, H. khalid, Mohammed, A. Taha, Talib, S. G., Mahmood, R. A., Sahi, Z. Tariq, and Mezaal, Y. S.
- Subjects
- *
DEEP learning , *BOTNETS , *SMART devices , *INTERNET of things , *MALWARE , *TELEVISION in security systems , *CONVOLUTIONAL neural networks - Abstract
The internet of Things (IoT) is a promising expansion of the traditional Internet, which provides the foundation for millions of devices to interact with each other. IoT enables these smart devices, such as home appliances, different types of vehicles, sensor controllers, and security cameras, to share information, and this has been successfully done to enhance the quality of user experience. IoT-based mediums in day-to-day life are, in fact, minuscule computational resources, which are adjusted to be thoroughly domain-specific. As a result, monitoring and detecting various attacks on these devices becomes feasible. As the statistics prove, in the Mirai and Brickerbot botnets, Distributed Denial-of-Service (DDoS) attacks have become increasingly ubiquitous. To ameliorate this, in this paper, we propose a novel approach for detecting IoT malware from the preprocessed binary data using transfer learning. Our method comprises two feature extractors, named ResNet101 and VGG16, which learn to classify input data as malicious and non-malicious. The input data is built from preprocessing and converting the binary format of data into gray-scale images. The feature maps obtained from these two models are fused together to further be classified. Extensive experiments exhibit the efficiency of the proposed approach in a well-known dataset, achieving the accuracy, precision, and recall of 96.31%, 95.31%, and 94.80%, respectively. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
6. The use of spatial relationships and object identification in image understanding
- Author
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Hamid Alsultani, Ahmed, S. T., Khadhim, B. J., and Kadhim, Q. K.
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