LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 294

Search options

  1. Book ; Online ; E-Book: Machine learning, big data, and IoT for medical informatics

    Kumar, Pardeep / Kumar, Yugal / Tawhid, Mohamed A.

    (Intelligent Data Centric Systems)

    2021  

    Abstract: Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease ... ...

    Author's details edited by Pardeep Kumar, Yugal Kumar and Mohamed A. Tawhid
    Series title Intelligent Data Centric Systems
    Abstract Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. It also emphasizes on the privacy preservation techniques of medical data. This volume can be used as a reference book for scientists, researchers, practitioners, and academicians working in the field of intelligent medical informatics. In addition, it can also be used as a reference book for both undergraduate and graduate courses such as medical informatics, machine learning, big data, and IoT. Explains the uses of CNN, Deep Learning and extreme machine learning concepts for the design and development of predictive diagnostic systems. Includes several privacy preservation techniques for medical data. Presents the integration of Internet of Things with predictive diagnostic systems for disease diagnosis. Offers case studies and applications relating to machine learning, big data, and health care analysis.
    Keywords Machine learning ; Medical informatics ; Artificial intelligence/Medical applications ; Medicine/Data processing
    Subject code 006.31
    Language English
    Size 1 online resource (460 pages)
    Publisher Academic Press is an imprint of Elsevier
    Publishing place London, United Kingdom
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 0-12-821781-2 ; 0-12-821777-4 ; 978-0-12-821781-8 ; 978-0-12-821777-1
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    Full text online

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  2. Article ; Online: Retracted: P0985EFFECTS OF SILVER NANOPARTICLES ON RENAL FUNCTION IN FAT-FED AND STREPTOZOTOCIN-TREATED RATS.

    Kumar, Pardeep

    publication RETRACTED

    Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association

    2021  Volume 35, Issue Suppl 3

    Language English
    Publishing date 2021-08-23
    Publishing country England
    Document type Journal Article ; Retracted Publication
    ZDB-ID 90594-x
    ISSN 1460-2385 ; 0931-0509
    ISSN (online) 1460-2385
    ISSN 0931-0509
    DOI 10.1093/ndt/gfaa142.P0985
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 2198: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 329: Show issues

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  3. Article ; Online: Impact of limestone caves and seawater intrusion on coastal aquifer of middle Andaman.

    Kumar, Pardeep / Mukherjee, Saumitra

    Journal of contaminant hydrology

    2023  Volume 256, Page(s) 104197

    Abstract: Seawater intrusion has become a common problem in coastal and island aquifers with the rise in climate change that greatly affects the majority of developing countries. The island hydrology is very complex and associated with a unique set of ... ...

    Abstract Seawater intrusion has become a common problem in coastal and island aquifers with the rise in climate change that greatly affects the majority of developing countries. The island hydrology is very complex and associated with a unique set of environmental characteristics with the dynamic interaction of groundwater, surface water, and seawater. Further, Sea level rise, erratic rainfall, and over-extraction of groundwater triggered salt-water intrusion. A study on seawater intrusion and the effect of limestone caves on groundwater was carried out in middle Andaman using a combination of ionic ratios of major ions. A total of 24 samples and a reference sample from the sea were collected and analysed using ICP, spectrophotometer, and flame photometer. A combination of 10 ionic ratios Cl/HCO
    MeSH term(s) Environmental Monitoring/methods ; Caves ; Water Pollutants, Chemical/analysis ; Calcium Carbonate ; Seawater/analysis ; Groundwater/analysis ; Water/analysis
    Chemical Substances Water Pollutants, Chemical ; Calcium Carbonate (H0G9379FGK) ; Water (059QF0KO0R)
    Language English
    Publishing date 2023-05-06
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1494766-3
    ISSN 1873-6009 ; 0169-7722
    ISSN (online) 1873-6009
    ISSN 0169-7722
    DOI 10.1016/j.jconhyd.2023.104197
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  4. Article ; Online: Highly Efficient Cauliflower-like Palladium-Loaded Porous MOF as a Robust Material for the Degradation of Organic Dyes.

    Rimi / Kumar, Pardeep / Uttam, Bhawna / Kumar, Ravi

    ACS omega

    2023  Volume 8, Issue 42, Page(s) 38895–38904

    Abstract: A series of porous MOF materials, viz., ... ...

    Abstract A series of porous MOF materials, viz., Pd
    Language English
    Publishing date 2023-10-13
    Publishing country United States
    Document type Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.3c03014
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  5. Article ; Online: Photoexcited Plasmon-Driven Ultrafast Dynamics of the Adsorbate Probed by Femtosecond Time-Resolved Surface-Enhanced Time-Domain Raman Spectroscopy.

    Kumar, Pardeep / Kuramochi, Hikaru / Takeuchi, Satoshi / Tahara, Tahei

    The journal of physical chemistry letters

    2023  Volume 14, Issue 11, Page(s) 2845–2853

    Abstract: Metal nanoparticles have high potential in light-harvesting applications by transferring absorbed photon energy to the adsorbates. However, photoexcited plasmon-driven ultrafast dynamics of the adsorbate on metal nanoparticles have not been clearly ... ...

    Abstract Metal nanoparticles have high potential in light-harvesting applications by transferring absorbed photon energy to the adsorbates. However, photoexcited plasmon-driven ultrafast dynamics of the adsorbate on metal nanoparticles have not been clearly understood. We studied ultrafast plasmon-driven processes of trans-1,2-bis(4-pyridyl)ethylene (BPE) adsorbed on gold nanoparticle assemblies (GNAs) using time-resolved surface-enhanced impulsive stimulated Raman spectroscopy (TR-SE-ISRS). After photoexciting the localized surface plasmon resonance (LSPR) band of the GNAs, we measured femtosecond time-resolved surface-enhanced Raman spectra of the adsorbate, which exhibited transient bleach in the Raman signal and following biphasic recovery that proceeds on the time scale of a few tens of picoseconds. The TR-SE-ISRS data were analyzed with singular value decomposition, and the obtained species-associated Raman spectra indicated that photoexcitation of the LSPR band alters chemical interaction between BPE and the GNAs on an ultrafast time scale; initial steady-state BPE is recovered through a precursor state that has weaker interaction with the GNAs.
    Language English
    Publishing date 2023-03-14
    Publishing country United States
    Document type Journal Article
    ISSN 1948-7185
    ISSN (online) 1948-7185
    DOI 10.1021/acs.jpclett.2c03813
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  6. Article ; Online: Retracted: P0981ANTIDIABETIC AND RENOPROTECTIVE ROLE OF METFORMIN ON METABOLIC PARAMETERS IN KIDNEY OF DIABETIC AGING RATS.

    Kumar, Pardeep / Baquer, Najma

    publication RETRACTED

    Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association

    2021  Volume 35, Issue Suppl 3

    Language English
    Publishing date 2021-08-23
    Publishing country England
    Document type Journal Article ; Retracted Publication
    ZDB-ID 90594-x
    ISSN 1460-2385 ; 0931-0509
    ISSN (online) 1460-2385
    ISSN 0931-0509
    DOI 10.1093/ndt/gfaa142.P0981
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 2198: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 329: Show issues

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  7. Article ; Online: Retracted: P0991EFFECTS OF TRIGONELLA FOENUM GRAECUM AND SODIUM ORTHOVANADATE ON ALTERED RENAL MEMBRANE FUNCTIONS IN ALLOXAN DIABETIC RATS.

    Kumar, Pardeep / Baquer, Najma

    publication RETRACTED

    Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association

    2021  Volume 35, Issue Suppl 3

    Language English
    Publishing date 2021-08-23
    Publishing country England
    Document type Journal Article ; Retracted Publication
    ZDB-ID 90594-x
    ISSN 1460-2385 ; 0931-0509
    ISSN (online) 1460-2385
    ISSN 0931-0509
    DOI 10.1093/ndt/gfaa142.P0991
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 2198: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 329: Show issues

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  8. Article: Improved method for stress detection using bio-sensor technology and machine learning algorithms.

    Nazeer, Mohd / Salagrama, Shailaja / Kumar, Pardeep / Sharma, Kanhaiya / Parashar, Deepak / Qayyum, Mohammed / Patil, Gouri

    MethodsX

    2024  Volume 12, Page(s) 102581

    Abstract: Maintaining an optimal stress level is vital in our lives, yet many individuals struggle to identify the sources of their stress. As emotional stability and mental awareness become increasingly important, wearable medical technology has gained popularity ...

    Abstract Maintaining an optimal stress level is vital in our lives, yet many individuals struggle to identify the sources of their stress. As emotional stability and mental awareness become increasingly important, wearable medical technology has gained popularity in recent years. This technology enables real-time monitoring, providing medical professionals with crucial physiological data to enhance patient care. Current stress-detection methods, such as ECG, BVP, and body movement analysis, are limited by their rigidity and susceptibility to noise interference. To overcome these limitations, we introduce STRESS-CARE, a versatile stress detection sensor employing a hybrid approach. This innovative system utilizes a sweat sensor, cutting-edge context identification methods, and machine learning algorithms. STRESS-CARE processes sensor data and models environmental fluctuations using an XG Boost classifier. By combining these advanced techniques, we aim to revolutionize stress detection, offering a more adaptive and robust solution for improved stress management and overall well-being.•In the proposed method, we introduce a state-of-the-art stress detection device with Galvanic Skin Response (GSR) sweat sensors, outperforming traditional Electrocardiogram (ECG) methods while remaining non-invasive•Integrating machine learning, particularly XG-Boost algorithms, enhances detection accuracy and reliability.•This study sheds light on noise context comprehension for various wearable devices, offering crucial guidance for optimizing stress detection in multiple contexts and applications.
    Language English
    Publishing date 2024-01-23
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2830212-6
    ISSN 2215-0161
    ISSN 2215-0161
    DOI 10.1016/j.mex.2024.102581
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  9. Article ; Online: Multivariate Models of Blood Glucose Prediction in Type1 Diabetes: A Survey of the State-of-the-art.

    Arora, Sunny / Kumar, Shailender / Kumar, Pardeep

    Current pharmaceutical biotechnology

    2022  Volume 24, Issue 4, Page(s) 532–552

    Abstract: Diabetes mellitus is a long-term chronicle disorder with a high prevalence rate worldwide. Continuous blood glucose and lifestyle monitoring enabled the control of blood glucose dynamics through machine learning applications using data created by various ...

    Abstract Diabetes mellitus is a long-term chronicle disorder with a high prevalence rate worldwide. Continuous blood glucose and lifestyle monitoring enabled the control of blood glucose dynamics through machine learning applications using data created by various popular sensors. This survey aims to assess various classical time series, neural networks and state-of-the-art regression models based on a wide variety of machine learning techniques to predict blood glucose and hyper/hypoglycemia in Type 1 diabetic patients. The analysis covers blood glucose prediction modeling, regression, hyper/hypoglycemia alerts, diabetes diagnosis, monitoring, and management. However, the primary focus is on evaluating models for the prediction of Type 1 diabetes. A wide variety of machine learning algorithms have been explored to implement precision medicine by clinicians and provide patients with an early warning system. The automated pancreas may benefit from predictions and alerts of hyper and hypoglycemia.
    MeSH term(s) Humans ; Blood Glucose ; Hypoglycemia/diagnosis ; Hypoglycemia/epidemiology ; Diabetes Mellitus, Type 1/diagnosis ; Algorithms ; Neural Networks, Computer
    Chemical Substances Blood Glucose
    Language English
    Publishing date 2022-06-02
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2132197-8
    ISSN 1873-4316 ; 1389-2010
    ISSN (online) 1873-4316
    ISSN 1389-2010
    DOI 10.2174/1389201023666220603092433
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 6212: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  10. Article ; Online: Evaluation of regulated deficit drip irrigation strategies in apricot

    Kumar, Pardeep / Thakur, Jagriti / Agravāla, Ghanaśyāma

    Journal of Plant Nutrition. 2022 Dec. 14, v. 45, no. 20 p.3109-3117

    2022  

    Abstract: Water is essential for agricultural production and food security. Water scarcity is expected to intensify as a result of climate change and continuing expansion in the world’s population. Therefore, it calls for efficient water management in agriculture ... ...

    Abstract Water is essential for agricultural production and food security. Water scarcity is expected to intensify as a result of climate change and continuing expansion in the world’s population. Therefore, it calls for efficient water management in agriculture ensuring water use to be more efficient, productive, equitable, and environment friendly. Regulated deficit irrigation (RDI) is one of the recent tools used in agriculture water management. The effects of RDI on the performance of 4 years old apricot trees (Prunus armeniaca L. cv. ‘New Castle’) were assessed during two critical crop growth periods (March–July 2016 and 2017) and one non-critical period (August–November 2016) in a randomized block design in the apricot block at Experimental Farm of the Department of Soil Science and Water Management, Dr Y.S. Parmar University of Horticulture and Forestry, Nauni, Solan (HP), India during two consecutive growing seasons (2016 and 2017). In the non-critical period, RDI @60%ETc can be successfully employed to achieve significantly comparative fruit yield and quality with 40% water savings over conventional drip irrigation @100%ETc, while in critical period conventional drip irrigation @100%ETc must be used for higher apricot production. Therefore, the apricot crop should be irrigated through drip irrigation @100% ETc in the critical period (March-July) and @60% ETc in the non-critical period (August-November) with black polyethylene (plastic) mulching in the plant basins to achieve optimum fruit yield and quality characteristics.
    Keywords Prunus armeniaca ; apricots ; climate change ; deficit irrigation ; demonstration farms ; food security ; forestry ; fruit yield ; horticulture ; microirrigation ; plant nutrition ; polyethylene ; water management ; water shortages ; India ; Regulated deficit drip irrigation ; apricot ; fruit yield and quality
    Language English
    Dates of publication 2022-1214
    Size p. 3109-3117.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ZDB-ID 446190-3
    ISSN 1532-4087 ; 0190-4167
    ISSN (online) 1532-4087
    ISSN 0190-4167
    DOI 10.1080/01904167.2022.2027968
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

    In stock of ZB MED Bonn / Germany

    Z 3418: Show issues

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top